Top Full Time Remote Jobs

Who are we?

We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learns to understand the meaning, sentiment, and intent of the words we use in a richness never seen before. 

We've recently raised our Series C, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.

We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, and was previously part of Google Brain. Our entire technical team is world-class. 

We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

Why this role?

- Lead a diverse team of engineers in their effort to create high-performance, secure language models for dev-centric enterprise products.

- Create an efficient and effective organizational structure for the Engineering team. 

- Help us scale! Provide vision and direction around code principles, project structuring, best practices, team dynamics, and engineering culture.

As VP, Product Engineering your responsibilities include:

- Delivering large-scale dev-centric enterprise products.

- Aligning our teams around a strong product vision and nurturing a culture of innovation, creativity, and collaboration.

- Helping the team thrive by defining paths for professional development among our Engineers.

- Overseeing and participating in the day-to-day running of our Engineering teams.

- Closely partnering with Product, Design, and ML teams.

- Communicating and presenting plans and updates to senior executives and the wider organization

- You tell us! We need someone who has big ideas, and isn't afraid to rock the boat.

You may be a good fit, if you have:

- 10+ years of Engineering experience in a scaling software company including 5+ years in a senior leadership role.

- A proven track record of effectively leading and delivering a suite of external-facing products from conception to production.

- Experience with large-scale dev-centric enterprise products, Large Language Models, and/or AI products.

- A strong technical background, with experience in a variety of Engineering disciplines.

- Experience building, growing, and empowering both front-end and backend teams.

- A scrappy, startup mentality to move fast, iterate quickly, learn on the go, and take initiative.

- Great communication and interpersonal skills working across different teams, personalities, and working styles.

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Our Perks:

🤝 An open and inclusive culture and work environment 

🧑‍💻 Work closely with a team on the cutting edge of AI research 

🍽 Free daily lunch 

🦷 Full health and dental benefits, including a separate budget to take care of your mental health 

🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend

✈️ 6 weeks of vacation

#LI-Remote

Before jumping in on all the information about the role and what you can bring to the table, let us introduce ourselves real quick.

About us

Hi there! We are Insider, a B2B SaaS company that drives growth for its clients around the world. How are we achieving this? We are connecting data across channels, predicting future behavior with AI, and individualizing experiences from a single platform with the fastest time to value.

We announced that we unlocked our unicorn status after our Series D round. We are backed by top-notch investors including Sequoia Capital, QIA, Riverwood, Endeavor Catalyst and trusted by 1000+ brands from high-growth startups to the most prestigious Fortune 500 companies such as Singapore Airlines, Virgin, Nestle, Nissan, Samsung, Lenovo, Puma, MediaMarkt, IKEA, Allianz, Santander, Dominos, Avon, CNN, and the list goes on.

We are the #1 Leader everywhere! We are recognized as a leader in The Forrester Wave™ for Cross-Channel Campaign Management in Q3, 2021. We are also named a leader in 2021 Gartner® Magic Quadrant™ for Personalization Engines. But wait, there is more. For 21 quarters in a row, we’ve been ranked as a leader in G2 Mobile Marketing, Personalization, Customer Data Platform, and Customer Journey Analytics Grids.

We are also proud to become one of the very few female-led B2B SaaS unicorns in the world.

Behind all these achievements, there is an exceptionally talented and passionate team across 28 countries that moves fast and agile, creates cutting-edge products, and focuses on making an impact. If you want to join us in this journey, just keep reading.

And now? Now we are looking for a Senior Full Stack Engineer, who will help our Web Development Team create and implement a wide variety of web-based products using PHP and Go or Node.js, and wants to take their career one step further. If you think you are one of those people, here you will have the chance to work with the world's leading brands with Artificial Intelligence & Machine Learning technologies. Right now, while you are reading this, we are sending an average of 2.2 billion requests and almost 2 billion instant notifications to more than 450 servers a day. On the Artificial Intelligence and Predictive side, we have more than 100 TB of historical data. We do not wait for jobs or opportunities to come to our feet, we create them. We have now reached 25% of global users. If all these interests you, read on for more! 

Our Engineers and Software Developers always think with an innovative perspective, taking advantage of the inexhaustible power of the digital world. They create impressive and intelligent products like a true artist. Our Product and Development teams are located in our Istanbul and Ankara offices, so we produce and develop the technology we export to the world in our own country. As Insider, we believe in cooperation and adapting the innovations brought by technology by acting fast. We work closely with other Departments with agile teams, and we are not afraid of getting our hands dirty. As we said; we do not wait for jobs or opportunities to come to our feet, we create them ourselves. You can check our Tech Stacks here!

A Senior Full Stack Engineer in Insider day in and day out:

• develops programs, applications, and websites using PHP (Laravel), and Node.js together with Vue.js and JavaScript,
• improves performance, scalability, and availability of our systems,
• develops cutting-edge web applications with a user-centric approach,
• troubleshoots any issues as they arise, foresee and address potential problems proactively,
• collaborates with co-developers and other related departments to ensure maximum efficiency and arrive at world-class results,
• sends regular updates about project status to related stakeholders,
• evaluates and takes on tasks based on resolution priority and the greater company vision/goals.

• have a Bachelor’s Degree in Computer Engineering or related departments,
• have 5+ years of software product development experience,
• have hands-on software product experience working with Laravel and Vue.js,
• know your way around Vue.js and Javascript,
• have experience in Node JS or you’re passionate to learn,
• have got a good grasp of MYSQL, Elasticsearch, and/or NoSQL technologies such as Redis,
• have hands-on experience in Docker
• are familiar with software code tools such as Git,
• have experience driving technical projects, prioritizing work, identifying dependencies, facilitating technical decisions and cross-functional team discussions,
• have a good command of Turkish and English,
• have hands-on experience in AWS (as a plus).

• “Tech Talks” with famous and groundbreaking people from the software world, “Dev Talks” where our Software Developers talk about their career steps, and many events where groundbreaking ideas are discussed,
• Hackathons we organize inside that push the boundaries, programming challenges, and coding competitions,
• free access to exclusive services such as Laracast, Egghead, LinkedIn Learning, Blinkist, Masterclass, and Spotify,
• Inclusive Private Health Insurance,
• Smart Work Model side benefits to support food and bill expenses,
• The infamous Team Activities that are bursting with fun,
• No Dress code! This is a fast and innovative startup, you can wear whatever you want.
• Remote Work! Work anywhere you'd like in Turkey.

We provide equal opportunity in a zero-discrimination workplace and not just welcome but also embrace everyone without regard to sex, race, color, nationality, religion, gender identity, sexual orientation, disability status, citizenship, or marital status.

Please follow Insider on LinkedIn, Instagram, Youtube, and Medium!

Who are we?

We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learns to understand the meaning, sentiment, and intent of the words we use in a richness never seen before. 

We've recently raised our Series C, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.

We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, and was previously part of Google Brain. Our entire technical team is world-class. 

We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

Why this role?

As a Solutions Architect at Cohere, you will play a significant role in growing the business and have a great deal of autonomy when it comes to technical pre- and post-sales. Your responsibilities will include developing a deep understanding of customer problems, mapping them to Cohere solutions, and working closely with our partners as the trusted technical advisor who owns the technical relationship with our stakeholders. By leveraging your expertise, you will help to increase the adoption of Cohere products, both internally and externally, and will gather valuable insights and feedback from customers to help shape the future of our products.

In this dynamic role, you will need to be both a strategic thinker and a hands-on doer. You will take a hands-on approach to building customer Proof of Concepts that showcase the business value of our platform. As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products.

Please Note: We have offices in Toronto, Palo Alto and London but embrace being remote-first! We are looking for candidates based in Canada or United States for this role, with a preference for candidates based in New York City.

A typical day at Cohere might include:

• Leading the technical talk track on customer calls
• Deep dives on customer problems and Cohere technology
• Designing novel enterprise solutions with bleeding-edge NLP technology
• Facilitating customer evaluations and PoC
• Developing and documenting processes to enable the solutions architect team to scale effectively within Cohere
• Collaborating with the Product and Engineering teams to ensure our offering match the customers’ desires
• Working closely with our partners to develop a strategy for enabling and accelerating their customers

• 5+ years of customer-facing  technical pre/post sales Solutions Architect experience
• 5+ years working with Sales to drive GTM motions 
• 2+ years architecting or deploying cloud-native solutions
• A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's
• Fundamental knowledge of ML, and basic knowledge of AI, NLP, and Large Language Models (LLM)
• Comfortable working with Python and Jupyter Notebooks
• Comfortable using version control/Git
• Excellent communication skills - you can toggle seamlessly between presenting to CEOs, and getting in the weeds or white boarding with technical audiences
• High tolerance for ambiguity.
• You can identify and implement high-impact processes in unstructured environments.

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Our Perks:

🤝 An open and inclusive culture and work environment 

🧑‍💻 Work closely with a team on the cutting edge of AI research 

🍽 Free daily lunch 

🦷 Full health and dental benefits, including a separate budget to take care of your mental health 

🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend

✈️ 6 weeks of vacation

#LI-Remote

Before jumping in on all the information about the role and what you can bring to the table, let us introduce ourselves real quick.

About us

Hi there! We are Insider, a B2B SaaS company that drives growth for its clients around the world. How are we achieving this? We are connecting data across channels, predicting future behavior with AI, and individualizing experiences from a single platform with the fastest time to value.

We announced that we unlocked our unicorn status after our Series D round. We are backed by top-notch investors including Sequoia Capital, QIA, Riverwood, Endeavor Catalyst and trusted by 1000+ brands from high-growth startups to the most prestigious Fortune 500 companies such as Singapore Airlines, Virgin, Nestle, Nissan, Samsung, Lenovo, Puma, MediaMarkt, IKEA, Allianz, Santander, Dominos, Avon, CNN, and the list goes on.

We are the #1 Leader everywhere! We are recognized as a leader in The Forrester Wave™ for Cross-Channel Campaign Management in Q3, 2021. We are also named a leader in 2021 Gartner® Magic Quadrant™ for Personalization Engines. But wait, there is more. For 21 quarters in a row, we’ve been ranked as a leader in G2 Mobile Marketing, Personalization, Customer Data Platform, and Customer Journey Analytics Grids.

We are also proud to become one of the very few female-led B2B SaaS unicorns in the world.

Behind all these achievements, there is an exceptionally talented and passionate team across 28 countries that moves fast and agile, creates cutting-edge products, and focuses on making an impact. If you want to join us in this journey, just keep reading.

And now? Now we are looking for a Security Engineer - Red Team who wants to take their career one step further. If you think you are one of those people, here you will have the chance to work with the world's leading brands with Artificial Intelligence & Machine Learning technologies. Right now, while you are reading this, we are sending an average of 2.2 billion requests and almost 2 billion instant notifications to more than 450 servers a day. On the Artificial Intelligence and Predictive side, we have more than 100 TB of historical data. We do not wait for jobs or opportunities to come to our feet, we create them. We have now reached 25% of global users. If all these interests you, read on for more!

Our Engineers and Software Developers always think with an innovative perspective, taking advantage of the inexhaustible power of the digital world. They create impressive and intelligent products like a true artist. Our Product and Development teams are located in our Istanbul and Ankara offices, so we produce and develop the technology we export to the world in our own country. As Insider, we believe in cooperation and adapting the innovations brought by technology by acting fast. We work closely with other Departments with agile teams, and we are not afraid of getting our hands dirty. As we said; we do not wait for jobs or opportunities to come to our feet, we create them ourselves. You can check our Tech Stacks here!

We want you to join us while we are taking a step into the future if you:

• have bachelor degree or graduation status in Computer Engineering, Management Information Systems, Electronic and Communication Engineering or similar disciplines,
• understand working logic of the following Security Products WAF, IPS/IDS, SIEM, SOAR, EDR, Antivirus, Sandbox
• have good understanding of security operations concepts: perimeter defense, data loss protection, insider threat, kill chain analysis, risk assessment, and security metrics,
• have basic understanding of IT operations: help desk, end-point management, and server management,
• have an active interest in Internet Security, Incident Detection, Network and Systems Security,
• have a basic knowledge of TCP/IP and general networking principles,
• have a basic level knowledge of the OWASP Top 10 attacks,
• have a knowledge intro level Python or any scripting language,
• focus on growing as an engineer, learning existing tools, resources and processes,
• have high analytical, critical and quantitative thinking skills,
• have good communication skills with ability to interpret and deliver technical information to stakeholders,
• have curious and proactive personality with active interest in researching latest developments in Cyber Security field.

• Working with security events and alerts,
• Performing forensic analysis,
• Performing regular threat hunting,
• Responding to alerts through available tools, services and standard procedures,
• Monitoring and analysis; analyze network traffic, log analysis, prioritize and differentiate between potential intrusion attempts and false alarms,
• Performing detail analysis of events during the incident process, combining analytical skills with advanced knowledge of IT security, system and networking
• Participating in knowledge sharing with other Engineers and writing technical articles (i.e Internal Knowledge Bases),
• Working with the Information Security Team,
• Performing other essential duties as assigned.

• “Tech Talks” with famous and groundbreaking people from the software world, “Dev Talks” where our Software Developers talk about their career steps, and many events where groundbreaking ideas are discussed,
• Hackathons we organize inside that push the boundaries, programming challenges, and coding competitions,
• free access to exclusive services such as Laracasts, Egghead, LinkedIn Learning, Blinkist, Masterclass, and Spotify,
• Inclusive Private Health Insurance,
• Smart Work Model side benefits to support food and bill expenses,
• The infamous Team Activities that are bursting with fun,
• No Dress code! This is a fast and innovative startup, you can wear whatever you want.
• Remote Work! Work anywhere you'd like in Turkey.

We provide equal opportunity in a zero-discrimination workplace and not just welcome but also embrace everyone without regard to sex, race, color, nationality, religion, gender identity, sexual orientation, disability status, citizenship, or marital status.

Please follow Insider on LinkedIn, Instagram, Youtube, and Medium!

Real Vision helps people understand the complex world of finance, business, and the global economy with real in-depth analysis by real experts through the power of its community.

The company is on a mission to democratize the very best financial intelligence for all and become the one place where everyone lives their financial lives.

This enhanced platform will offer members different learning journeys that put them in control of their finances. Members will be able to watch videos, listen to podcasts, monitor market prices, analyze markets and economies, do technical analysis, create watch lists, read and publish research, monitor their portfolios, execute trades across both Tradfi and Crypto, and contribute to a thriving hive mind community.

We are looking for an Experience Designer to help us create products and design services based on the needs, wants, and desires of groups and individuals looking to gain confidence when it comes to their finances. We’re looking for an empathetic generalist at heart who lives to simplify complexity. Someone who constantly seeks ways to improve things gets up in the morning to make stuff and stays ahead of the curve when it comes to all things brand, design, technology, and culture.

While making-the-world-a-better-place is often taken lightly these days, we’re actually trying to live up to its original intent. In order to do this, we need to see the world through the eyes of our members and create experiences to help them achieve their goals. That’s why we need your help. 

Day to Day Responsibilities

Partner with researchers to understand why people are choosing Real Vision to address their needs:

• Participate in workshops that lead to the definition of Jobs To Be Done, journey maps, and other tools to help illustrate current behavior and potential opportunities.
• Help conduct research as needed to gain insights and identify opportunities to alleviate pain points within current experiences.
• Reference these insights and opportunities when making design decisions.

• Immerse yourself in and understand existing products and services before attempting to improve them.
• Know when to re-imagine entire experiences instead of simply improving aspects of them.
• Think about every single touchpoint within the experience - including the operational considerations required to change the status quo and all marketing communication opportunities to entertain, educate, inspire, and convince our target audience to choose Real Vision.
• Roll-up your sleeves and develop service blueprints, ecosystem diagrams, storyboards, sketches, wireframes, low/hi-fi prototypes (physical + digital), and any other deliverables that help communicate the intended experience.
• Partner with our Design Studio to ensure brand identity comes through everything to shape consistent 360-degree experiences.
• Develop and execute test plans alongside researchers to gauge success of your concepts.

• Ensure the desired experience is built and delivered as intended.
• Seek to understand what worked and what didn't work.
• Identify additional opportunities for improvement.

• You are wired to think cross-channel - not just digital, not just physical.
• You live to apply things you've learned from the fields of interaction design, graphic design, industrial design, package design, game design, architectural design, conversational design, and other design disciplines that don't even have a name yet in order to solve problems.
• You are passionate about both the arts and the sciences.
• You are able to use zoom control as you're examining opportunties and solutions to ensure no detail is missed while being able to see the forest from the trees.
• You can shift effortlessly from digital ecosystems to in-person experiences and back.
• You love telling stories that capture the attention of members and non-members alike.
• You love making stuff.
• You love trying different things to see what sticks.
• You always advocate for the needs of humans.

• You are proficient in Figma.
• You enjoy experimenting with other design tech (e.g., MidJourney, Canva AI, Framer, etc.)
• You have also used more "classic" design tools such as Illustrator, Photoshop, Sketch, etc.
• You have working knowledge of other design tools ranging from After Effect to Blender.
• You have used HTML, CSS, JavaScript, Objective-C, and/or Python as needed to hack together websites, mobile apps, chatbots, and IoT applets (e.g., IFTTT).
• You have are very curious about AI, AR, VR, MR, VUI, and a whole bunch of other acronyms.

• You are an extremely detail-oriented, organized multi-tasker
• You have strong verbal and written communication skills
• You listen before you speak
• You love collaborating with other to solve problems
• You are self-driven and have an entrepreneurial spirit
• You are able to adjustment on the fly without getting tripped up
• You are passionate about helping other achieve their goals

• You have at least 4 years of practical, hands-on design experience -- particularly designing digital products
• You graduated with a BA/BS degree in Human Factors, HCI/Computer Science, Industrial Design, Architecture, or a related field that has helped you transition into a design career
• You have a strong portfolio that demonstrates both design thinking and making. Understanding how you've worked on past projects will be a critical part of the initial vetting process, so we're asking all candidates to share any relevant artifacts (e.g., personas, experience maps, service blueprints, wireframes, prototypes, etc.) to give us a better sense of your skills.

• Competitive salary 
• 20 days accrued PTO a year
• US Public Holidays 
• 5 sick days 
• 100% covered health, dental, and vision for the individual employee (with full family coverage at a heavily reduced rate)  
• 4% dollar-for-dollar 401k match after 90 days  
• 100% remote
• Equity grants that vest annually over 3 years. 1/3 vests each year.
• Growth Opportunities 
• Real Vision All Access membership

Please read the IMPORTANT section at the end of this posting.

About Very

Very is a fully distributed IoT technology firm led by expert problem-solvers to create efficient, scalable solutions that move commercial, industrial, and consumer IoT projects from pilot to production in record time. 

We’ve built a collaborative, tight-knit team that thrives, whether we’re hanging out in person at our annual retreat or coordinating work across time zones. The results show that we’re doing something right — as we’ve won numerous workplace awards over the years. Most recently in 2021 we were certified as a Great Place to Work, and in 2022 we were listed again in Parity.org’s list of Best Companies for Women to Advance.

We believe that everything we build — and the people we build it with — has the potential to change the world. Our client list includes numerous well-known brands determined to leverage the power of IoT to drive material outcomes — such as Vizio, Peloton, Clear, iHeart Radio and Fellowes. Our goal, for each and every client we partner with, is to create high-value solutions through a collaborative and user-centered process.

About This Role

As a Generalist Lead Data Scientist at Very, you will work with our Software, Hardware, and Product Design teams to build full-service solutions for our clients. We focus on building end-to-end hardware and software solutions that meet our client's business needs, and reliable machine learning systems are often a part of our offering. An ideal candidate will display technical expertise in machine learning and data science, as well as strong communication skills, and the ability to present ideas and results to audiences ranging in technical depth.  Candidates should also have experience translating business problems into analytical solutions, working in interdisciplinary teams, and building ML models for production systems.

What You’ll Be Working On

At Very, there is a never-ending supply of variety to the types of projects we work on. However, it is critical to note that almost all of these projects are production systems. As such, the only consistent research component of this position will revolve around establishing a pattern of delivery that allows the team to implement full-scale applications leveraging machine learning in a fast, predictable manner. 

You’ll spend 80-90% of your time working on products or platforms for one of our clients, and the other 10-20% of your time will be spent improving Very’s Data Science Practice. This will involve:

- Working with other data scientists to continuously improve our delivery process for data science applications.

- Working with our marketing team to generate high-quality content (blog posts, conference presentations)

- Working with our sales team to close deals and build meaningful, well-scoped proposals for potential clients.

As a lead data scientist, you will be expected to not only understand the following analytical approaches but also be able to guide others in their implementation:

- Predictive modeling and/or anomaly detection on multivariate time series data

- State classification and prediction for geospatial time series data

- Regression and classification using a variety of deep learning and ensemble tree-based methods

- Clustering/segmentation

- Dimensionality reduction or latent space representation

- Classical statistical analysis and signal processing

Our Current Tooling

Our data science contracts typically involve building a greenfield API or greenfield product from the ground up. In the context of the data science and machine learning pipelines, we typically leverage:

- Git, GitHub, CircleCI or GitHub Actions (CI/CD), pytest (TDD)

- The standard SciPy Stack (Numpy, SciPy, Pandas, Scikit-Learn, Matplotlib)

- SQL/Postgres

- Docker

- Jupyter notebooks for prototyping

- Cloud architecture and resources for production systems. eg)

-- AWS: Lambda, ECR/ECS, RDS, API Gateway, Batch, Sagemaker

-- Azure: Functions, Container Registry/Instances, SQL Database [for PostgreSQL/MySQL], API Management, Machine Learning

-- 3rd party: TimescaleDB

- Serverless or Terraform for Infrastructure-as-Code

- MLflow

- PyTorch

On our full-service builds, we often reach for the following tools. Experience with them is not required, but any familiarity with these tools is a plus. Our build teams operate with a very high degree of collaboration, so you will definitely have run-ins with these stacks throughout your time here:

- Python web development frameworks (Django, Flask)

- React & React Native

- Swift & Objective C

- Ruby on Rails

As an IoT technology company our data science pipelines include “Things”. This will require you to build pipelines and deploy analytical models to hardware on the edge in addition to the cloud. This requires a deep collaboration with the design, software and hardware teams in the following environments:

- Elixir, Phoenix, and Nerves

- Embedded C and other lower level languages such as Rust

- CI/CD including hardware and end-to-end testing and verification

- Development Single-Board Computers such as RPi

At Very we have two types of lead positions; a specialist and generalist. Both positions go beyond the mastery of the core Data Science competencies to include a leadership position. The specialist lead focuses in great depth in one or more areas of Data Science and spreads that mastery across Very. The generalist lead takes a more multi-disciplinary approach and leads multi-disciplinary projects from a technical perspective.

Responsibilities

-- Work with stakeholders (clients, sales, engineers & designers) to define Statements Of Work (SOW)

-- Communicate how data science can deliver value to the client

-- Estimate quantity of work required to unlock this value

-- Identify related assumptions, risks and dependencies 

- Take ownership of the data science components and related systems to ensure project success

-- Architect, build and deploy reliable end-to-end data and ML pipelines into production

-- Ensure the highest level of testing across the full data pipeline and operating envelope

-- Execute and document all algorithm verification testing for certification

-- Build and nurture strong relationships with clients, understand their perspective and walk them through the data science value chain

-- Facilitate complex conversations to achieve alignment to drive positive outcomes   

- Continue to expand and evolve the Data Science (DS) practice at Very

-- Provide technical guidance to DS and non-DS team members

-- Pairs with mid team members to develop their skills and deliver on projects 

-- Continually learn, share and refine your DS skills and knowledge

-- Establish and enact DataOps and MLOps best practices 

- Take on the responsibility of Technical Lead on complex multi-disciplinary projects

- - Build reliable product roadmaps with technical implementation strategies

- - Monitor and optimize the technical implementation and coordination of the project

- - Identify and mitigate risks and seek assistance when required

- As a client services organization, travel may be required up to 10% of the time.

Qualifications

Required

- Master’s degree in Data Science related field

- 5+ years of related experience

-- Deployed statistical, ML or other analytical models to production

-- Lead teams with hardware and software engineers

-- Performed real-time signal processing or lead teams that did so

- Strong written and spoken communication skills in English

- Proficient in Agile development

- Mastery in analytical framing

-- Breaking down solutions into “thin vertical slices” of work 

-- Guiding interdisciplinary team to successfully estimate and execute these slices   

- Deep understanding of all four types analytics (Descriptive, Diagnostic, Predictive & Prescriptive)

-- Translating desired client outcomes to the appropriate type

-- Understanding the data requirements and techniques to achieve each type  

- Experience using a cloud computing platform like AWS, GCP, or Azure

- Expert level Python development skills related to Data Science

-- Object-Oriented Programming

-- Automated testing, code coverage, model building & evaluation

-- SciPy Stack, Scikit-learn, Tensorflow or PyTorch

-- GitHub CI/CD best practices 

- Experience developing in, compiling and deploying low level software; C++, Embedded C or Rust preferred

- Proficient developing in Linux including and light administration

Nice-to-have

- 7+ years of related experience including with connected devices

- Proficient in embedded real-time signal processing

- AWS Professional level certification

- Familiarity with Elixir, Phoenix, and Nerves

- Hands on experience with Single-Board Computers such as RPi

Compensation

We believe in a fair compensation structure and use a transparent compensation matrix.

Base Compensation

Between USD $94,000 and $133,880 per year, commiserate with experience.

Variable Compensation

up to 15% in the first year

We also offer world-class perks:

- $1,000 annual Healthcare Stipend (to be used towards Health insurance premium)

- $600/yr towards Home Office Stipend (Limitations apply).

- $100/mo Monthly Communications Stipend (Can be used towards Cell Phone Data Plan, WiFi Plan, VOIP, VPN)

- $2,500/yr continuing education stipend, upon one year of employment

- Udemy license for continuing education

- Personalized ESL coaching and access to an AI-powered adaptive platform to take your English to the next level

- Annual company trip, all expenses paid.

- Loaned MacBook Pro

Why Work for Very

You are more than your job title. At Very, we prioritize talent development and professional growth with a human-first approach that caters to the unique goals each individual brings to the team. 

Our core value, Invest in Our People, looks like collaborating with a cohort of talented people on a mission to get better every single day. It feels like working for a company that invests in you. And it means finding alignment with your career goals to get you where you want to be.

How do we bring our priorities to life? Of course we offer the typical world-class perks you would expect. Additionally, as a remote-first company (since 2011), we provide stipends for home office, telephone, and internet. Professional development funds and generous parental leave are also some of the benefits you can expect.

But a healthy company culture isn't just about perks. It's about creating an environment where our employees can thrive. Our work is fueled by smart, creative people whose lives are enriched by our experiences together. We learn together, we grow together, and we play together. Despite working across more than half a dozen countries, our teams connect regularly for work and for fun - on Slack, Zoom, and during an annual retreat. We’ve been remote-first from the beginning, so we know well what it takes to maintain a strong culture.  #LI-Remote

IMPORTANT: 

1. This job is to work for a US company. An advanced level of English is a must. Please refrain from applying if this is not your case. Resumes must be in English.

2. This job is remote but if you’re not located in the region or country mentioned in the post’s title, do not continue. Your application won’t be reviewed.

If you’re in Brazil, Bahamas, Barbados, Bolivia, Cuba, El Salvador, Haiti, Jamaica, Nicaragua, Panama, Suriname, Trinidad and Tobago, or Venezuela, we can’t accept your application at this time.

3. The region/country on the post's title is not related to the location of the clients we serve. It's a reference to the residence location of the applicant. All of Very's clients are North America-based.

4. Delivery team members may be required to travel up to 10% of the time. As a client services organization, this is expected.

Interviewing for a new company is a serious time commitment for all parties involved. Please take the time to read this and thoughtfully consider if we would be a good fit for one another.  No contractors or agencies. Seriously. #LI-Remote

Please read the IMPORTANT section at the end of this posting.

About Very

Very is a fully distributed IoT technology firm led by expert problem-solvers to create efficient, scalable solutions that move commercial, industrial, and consumer IoT projects from pilot to production in record time. 

We’ve built a collaborative, tight-knit team that thrives, whether we’re hanging out in person at our annual retreat or coordinating work across time zones. The results show that we’re doing something right — as we’ve won numerous workplace awards over the years. Most recently in 2021 we were certified as a Great Place to Work, and in 2022 we were listed again in Parity.org’s list of Best Companies for Women to Advance.

We believe that everything we build — and the people we build it with — has the potential to change the world. Our client list includes numerous well-known brands determined to leverage the power of IoT to drive material outcomes — such as Vizio, Peloton, Clear, iHeart Radio and Fellowes. Our goal, for each and every client we partner with, is to create high-value solutions through a collaborative and user-centered process.

About This Role

As a Generalist Lead Data Scientist at Very, you will work with our Software, Hardware, and Product Design teams to build full-service solutions for our clients. We focus on building end-to-end hardware and software solutions that meet our client's business needs, and reliable machine learning systems are often a part of our offering. An ideal candidate will display technical expertise in machine learning and data science, as well as strong communication skills, and the ability to present ideas and results to audiences ranging in technical depth.  Candidates should also have experience translating business problems into analytical solutions, working in interdisciplinary teams, and building ML models for production systems.

What You’ll Be Working On

At Very, there is a never-ending supply of variety to the types of projects we work on. However, it is critical to note that almost all of these projects are production systems. As such, the only consistent research component of this position will revolve around establishing a pattern of delivery that allows the team to implement full-scale applications leveraging machine learning in a fast, predictable manner. 

You’ll spend 80-90% of your time working on products or platforms for one of our clients, and the other 10-20% of your time will be spent improving Very’s Data Science Practice. This will involve:

- Working with other data scientists to continuously improve our delivery process for data science applications.

- Working with our marketing team to generate high-quality content (blog posts, conference presentations)

- Working with our sales team to close deals and build meaningful, well-scoped proposals for potential clients.

As a lead data scientist, you will be expected to not only understand the following analytical approaches but also be able to guide others in their implementation:

- Predictive modeling and/or anomaly detection on multivariate time series data

- State classification and prediction for geospatial time series data

- Regression and classification using a variety of deep learning and ensemble tree-based methods

- Clustering/segmentation

- Dimensionality reduction or latent space representation

- Classical statistical analysis and signal processing

Our Current Tooling

Our data science contracts typically involve building a greenfield API or greenfield product from the ground up. In the context of the data science and machine learning pipelines, we typically leverage:

- Git, GitHub, CircleCI or GitHub Actions (CI/CD), pytest (TDD)

- The standard SciPy Stack (Numpy, SciPy, Pandas, Scikit-Learn, Matplotlib)

- SQL/Postgres

- Docker

- Jupyter notebooks for prototyping

- Cloud architecture and resources for production systems. eg)

-- AWS: Lambda, ECR/ECS, RDS, API Gateway, Batch, Sagemaker

-- Azure: Functions, Container Registry/Instances, SQL Database [for PostgreSQL/MySQL], API Management, Machine Learning

-- 3rd party: TimescaleDB

- Serverless or Terraform for Infrastructure-as-Code

- MLflow

- PyTorch

On our full-service builds, we often reach for the following tools. Experience with them is not required, but any familiarity with these tools is a plus. Our build teams operate with a very high degree of collaboration, so you will definitely have run-ins with these stacks throughout your time here:

- Python web development frameworks (Django, Flask)

- React & React Native

- Swift & Objective C

- Ruby on Rails

As an IoT technology company our data science pipelines include “Things”. This will require you to build pipelines and deploy analytical models to hardware on the edge in addition to the cloud. This requires a deep collaboration with the design, software and hardware teams in the following environments:

- Elixir, Phoenix, and Nerves

- Embedded C and other lower level languages such as Rust

- CI/CD including hardware and end-to-end testing and verification

- Development Single-Board Computers such as RPi

At Very we have two types of lead positions; a specialist and generalist. Both positions go beyond the mastery of the core Data Science competencies to include a leadership position. The specialist lead focuses in great depth in one or more areas of Data Science and spreads that mastery across Very. The generalist lead takes a more multi-disciplinary approach and leads multi-disciplinary projects from a technical perspective.

Responsibilities

-- Work with stakeholders (clients, sales, engineers & designers) to define Statements Of Work (SOW)

-- Communicate how data science can deliver value to the client

-- Estimate quantity of work required to unlock this value

-- Identify related assumptions, risks and dependencies 

- Take ownership of the data science components and related systems to ensure project success

-- Architect, build and deploy reliable end-to-end data and ML pipelines into production

-- Ensure the highest level of testing across the full data pipeline and operating envelope

-- Execute and document all algorithm verification testing for certification

-- Build and nurture strong relationships with clients, understand their perspective and walk them through the data science value chain

-- Facilitate complex conversations to achieve alignment to drive positive outcomes   

- Continue to expand and evolve the Data Science (DS) practice at Very

-- Provide technical guidance to DS and non-DS team members

-- Pairs with mid team members to develop their skills and deliver on projects 

-- Continually learn, share and refine your DS skills and knowledge

-- Establish and enact DataOps and MLOps best practices 

- Take on the responsibility of Technical Lead on complex multi-disciplinary projects

- - Build reliable product roadmaps with technical implementation strategies

- - Monitor and optimize the technical implementation and coordination of the project

- - Identify and mitigate risks and seek assistance when required

- As a client services organization, travel may be required up to 10% of the time.

Qualifications

Required

- Master’s degree in Data Science related field

- 5+ years of related experience

-- Deployed statistical, ML or other analytical models to production

-- Lead teams with hardware and software engineers

-- Performed real-time signal processing or lead teams that did so

- Strong written and spoken communication skills in English

- Proficient in Agile development

- Mastery in analytical framing

-- Breaking down solutions into “thin vertical slices” of work 

-- Guiding interdisciplinary team to successfully estimate and execute these slices   

- Deep understanding of all four types analytics (Descriptive, Diagnostic, Predictive & Prescriptive)

-- Translating desired client outcomes to the appropriate type

-- Understanding the data requirements and techniques to achieve each type  

- Experience using a cloud computing platform like AWS, GCP, or Azure

- Expert-level Python development skills related to Data Science

-- Object-Oriented Programming

-- Automated testing, code coverage, model building & evaluation

-- SciPy Stack, Scikit-learn, Tensorflow or PyTorch

-- GitHub CI/CD best practices 

- Experience developing in, compiling and deploying low level software; C++, Embedded C or Rust preferred

- Proficient developing in Linux including and light administration

Nice-to-have

- 7+ years of related experience including with connected devices

- Proficient in embedded real-time signal processing

- AWS Professional level certification

- Familiarity with Elixir, Phoenix, and Nerves

- Hands-onSingle experience with Single-Board Computers such as RPi

Compensation

Base Compensation

Between USD $94,000 and $133,880 per year, commiserate with experience.

Variable Compensation

Up to 15% in the first year

We also offer world-class perks:

- $600/yr towards Home Office Stipend (Limitations apply).

- $100/mo Monthly Communications Stipend (Can be used towards Cell Phone Data Plan, WiFi Plan, VOIP, VPN)

- $2,500/yr continuing education stipend, upon one year of employment

- Udemy license for continuing education

- Personalized ESL coaching and access to an AI-powered adaptive platform to take your English to the next level

-  Loaned MacBook Pro

- Annual all-company trip to a fun destination

Why Work for Very

You are more than your job title. At Very, we prioritize talent development and professional growth with a human-first approach that caters to the unique goals each individual brings to the team. 

Our core value, Invest in Our People, looks like collaborating with a cohort of talented people on a mission to get better every single day. It feels like working for a company that invests in you. And it means finding alignment with your career goals to get you where you want to be.

How do we bring our priorities to life? Of course we offer the typical world-class perks you would expect. Additionally, as a remote-first company (since 2011), we provide stipends for home office, telephone, and internet. Professional development funds and generous parental leave are also some of the benefits you can expect.

But a healthy company culture isn't just about perks. It's about creating an environment where our employees can thrive. Our work is fueled by smart, creative people whose lives are enriched by our experiences together. We learn together, we grow together, and we play together. Despite working across more than half a dozen countries, our teams connect regularly for work and for fun - on Slack, Zoom, and during an annual retreat. We’ve been remote-first from the beginning, so we know well what it takes to maintain a strong culture.  #LI-Remote

IMPORTANT: 

1. This job is to work for a US company. An advanced level of English is a must. Please refrain from applying if this is not your case. Resumes must be in English.

2. This job is remote but if you’re not located in the region or country mentioned in the post’s title, do not continue. Your application won’t be reviewed.

If you’re in Brazil, Bahamas, Barbados, Bolivia, Cuba, El Salvador, Haiti, Jamaica, Nicaragua, Panama, Suriname, Trinidad and Tobago, or Venezuela, we can’t accept your application at this time.

3. The region/country on the post's title is not related to the location of the clients we serve. It's a reference to the residence location of the applicant. All of Very's clients are North America-based.

4. Delivery team members may be required to travel up to 10% of the time. As a client services organization, this is expected.

Interviewing for a new company is a serious time commitment for all parties involved. Please take the time to read this and thoughtfully consider if we would be a good fit for one another.  No contractors or agencies. Seriously. #LI-Remote

If you aim for a regular corporate job to get your monthly income, this job position is not for you. Do not apply.

We are one of the fastest-growing fintechs on the planet. We are profitable and don’t rely on external funding. We build and research cutting-edge technologies and put them into production. We hire the best minds to join aboard and change the world with us.

Who we are:

If you are curious to know more about Cloudwalk, here are some interesting links: 

[Portuguese] InfinitePay joins the payment market: https://braziljournal.com/na-guerra-das-maquininhas-a-infinitepay-quer-ser-a-bomba-nuclear/ (Brazil Journal)

[English] Brazil's CloudWalk valued at $2.15 bln: https://www.reuters.com/technology/brazils-cloudwalk-valued-215-bln-after-coatue-led-investment-2021-11-17/ (Reuters)

[Portuguese] Cloudwalk USD 100M ARR and breakeven: https://valor.globo.com/financas/noticia/2023/05/04/cloudwalk-tem-primeiro-resultado-positivo.ghtml (Valor Econômico)

You will be working at the AI lending team.

Our credit models evaluate Cloudwalk’s more than a million users and define if they can or can't get credit. We work with alternative data and state of the art AI algorithms to empower medium, small and very small businesses through credit.

Apart from modeling, our team is responsible for analyzing and monitoring all relevant data regarding our credit operation, coming up with insights, visualizations and useful information for us to base our actions. 

Our loan product has been around for about a year and we’ve lent hundreds of millions.

What You'll Be Doing:

• Unearth insights from customer and loan data
• Create, test and implement ML/Heuristics models
• Engineer features and add them to our feature store
• Formulate real-world experiments and put them to production
• Fortify our model pipelines
• Have clever ideas and change the game

• We don't care about formal education, we care about what you know and what you can do
• Fluency in English
• Deep and practical understanding of machine learning, statistics, SQL, and Python
• Thirst for continuous learning and growth
• Humility to learn from everyone and share your knowledge
• Motivation to drive forward without being micromanaged
• (Extra) Any knowledge of blockchain and finance is a cherry on top

Let's reshape the financial system together.

Diversity and Inclusion

We believe in social inclusion, respect, and appreciation of all people. We promote a welcoming work environment, where each CloudWalker can be authentic, regardless of gender, ethnicity, race, religion, sexuality, mobility, disability, or education.

At Netomi AI, we are on a mission to create artificial intelligence that builds customer love for the world’s largest global brands.

Some of the largest brands are already using Netomi AI’s platform to solve mission-critical problems. This would allow you to work with top-tier clients at the senior level and build your network.

Backed by the world’s leading investors such as Y-Combinator, Index Ventures, Jeffrey Katzenberg (co-founder of DreamWorks) and Greg Brockman (co-founder & President of OpenAI/ChatGPT), you will become a part of an elite group of visionaries who are defining the future of AI for customer experience. We are building a dynamic, fast growing team that values innovation, creativity, and hard work. You will have the chance to significantly impact the company’s success while developing your skills and career in AI.

Want to become a key part of the Generative AI revolution? We should talk.

Netomi is seeking a highly analytical and detail-oriented manager to join the Analytics team. As part of the team, you will work with product, engineering, and customer success teams to drive complex data and trend analyses to propose ways to improve and, thereby contributing to improve the experience. You will also be responsible for benchmarking and measuring the performance of various product operations projects, building and publishing detailed scorecards and reports, identifying and driving new opportunities based on customer and business data.

We are looking for a Manager with a passion for using data to discover and solve real-world problems. You will enjoy working with rich data sets, modern business intelligence technology, and the ability to see your insights drive the feature development for our customers. You will also have the opportunity to contribute to the development of policies, processes, and tools to address product quality challenges in collaboration with teams.

Job Responsibilities:

• Planning, design and execution of SOA backend platforms. Mostly around REST based Web
• Build frameworks using JAVA (Spark,Spring, ORM)
• High level and Low level design of the highly scalable components
• Track defects and works with business owners and users to triage bugs and manage a backlog
• Taking care of Nonfunctional requirements like Scale/ High Availability/Performance/Security
• Build/Deployments/DevOps-related work on AWS
• Works collaboratively in a multi-disciplinary team environment; establishes and maintains professional networks with subject matter experts
• Be the key technical advisor to define the roadmap of project
• Lead teams of talented engineers and coach them to their full potential.
• As you will be managing the analytics team, you are required to manage the dynamics of the requirements, prioritization, and deliveries
• Give growth charter to the team members and conduct 1-1 / feedback/appraisal
• Lead by example in software development best practices, agile development, and cross-team collaboration.
• Bring in and influence engineering optimizations
• Work with Product Managers and partners to define business roadmaps.
• Work with architects and fellow engineers to define technical architectures and execution plans.
• Execute business and technology roadmaps by collaborating with other engineering teams.
• Be accountable for the outcomes, measured by appropriate metrics
• Drive product vision and strategy

• 7+ years’ Experience preferred.B.Tech/M.Tech in Computer Science or related fields.
• 3+ years of people management experience.
• 2+ years of recent Frontend Web and back-end development experience.
• Extensive experience running teams in an agile environment.
• Deep experience with the full software development life cycle.
• AWS, Kafka, AWS Kinesis, and MWAA experience desirable
• Proficient with mainstream backend technologies such as Java, Spring boot, RDBMS, NoSQL
• Strong experience with AWS cloud technologies.
• Strong Analytical skills – can ask the right questions, analyze data, concludes by making appropriate assumptions
• Organization skills – demonstrated ability to work independently to make complex investigations
• Working experience on asynchronous messaging systems like Kafka.
• Strong ability in architectural design and discussion.
• Proven ability to manage multiple, competing for priorities simultaneously.
• Excellent communication skills to convey technical insights to a non-technical audience 

• Proficiency in SQL and Advanced Excel (Array and Statistical formulas)
• Prior data mining, DW / BI experience
• Knowledge of BI & statistical tools such as Power BI, SQL & ETL DW concepts
• Automate the report generation process through the use of BI tools and programming techniques: such as SQL, DW concepts
• Good knowledge of  R, and ML modeling
• Understanding visualization tools such as PowerBI, Tableau, Datazen, and SSRS is a plus
• Experience with modern Data warehousing solutions such as AWS Redshift, Snowflake, GCP BigQuery

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

Who are we?

We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learns to understand the meaning, sentiment, and intent of the words we use in a richness never seen before. 

We've recently raised our Series C, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.

We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, and was previously part of Google Brain. Our entire technical team is world-class. 

We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

Why this role? 

This is an exciting opportunity to step into a brand new role at Cohere and build a team of talented security engineers. The ideal candidate is a hands-on leader with an interest in LLM security research and building automated security controls.

Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.

As an Engineering Manager, Security, you will:

• Build the team responsible for security operation functions – including vulnerability management, detection engineering, and incident response – in CI/CD and cloud-native production environments
• Drive industry collaboration around LLM specific security research
• Work collaboratively and cross-functionally
• Develop security tools and automation workflows to improve cloud security
• Manage the team's workload and priorities, ensuring timely delivery of projects
• Mentor and coach team members, providing guidance on technical and career development

• You have led the security function in more than one organization, ideally in a SaaS company
• You’re a hands-on security leader interested in automating controls
• You take pride in growing your teammates, from their technical skills to their personal development
• You are passionate about building internal tools - you take time to look at the big picture and make things better 
• You have experience in multiple cloud environments; ideally working with Kubernetes-based infrastructure
• [Bonus] You are excited about Large Language Models and follow LLM security research

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Our Perks:

🤝 An open and inclusive culture and work environment 

🧑‍💻 Work closely with a team on the cutting edge of AI research 

🍽 Free daily lunch 

🦷 Full health and dental benefits, including a separate budget to take care of your mental health 

🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend

✈️ 6 weeks of vacation

#LI-Remote

If you’re passionate about Neural Rendering or NeRF research, Luma is the place to be. We are doing groundbreaking research and bringing latest advances in the field directly to users as delightful products.

You will work towards solving real-world challenges inherent in 3D capture, generative modeling, neural rendering and have access to an unprecedented amount of 3D data and compute. Every advancement you make will make 3D accessible to more and more people. You and your work will necessarily help define our technical roadmap, our product definition, and the trajectory of the company.

Competencies

Startup Mindset

• Value velocity and execution.
• Communicate clearly.
• Focus on building what will matter to users and the product.
• Be resourceful at finding creative ways to overcome challenges.

• Academic or industry research experience in NeRF or related fields. 
• Strong first principles understanding of Machine Learning.
• Proficiency in Python and PyTorch. CUDA is a plus, but not required.
• A strong foundation in 3D graphics is a plus, but not required.
• If you have worked on traditional 3D reconstruction (SfM) that's a plus.

• Equity grant to reflect the incredible value you will bring to Luma, with annual refreshes.
• Excellent salary and benefits.
• Full health, dental, and vision coverage.
• Latest and greatest gear.
• Wellness and gym stipends.
• WFH stipends towards internet, house cleaner and phone.
• Unlimited paid time off with 12 days minimum.
• Unlimited sick days.

• In any role here, you will work with people experts in their field, and learn a *lot*
• We build. We ship. Your work will matter to people.
• We are building a very widely usable product, and you’ll get to work on equally wide variety of challenging problems.
• We have fantastic traction from early customers, whom you’ll get to work directly with.
• We have backing of some of the best VCs in Silicon Valley, and Angels from across the industry.

If you’re passionate about advancing the states of the art in ML Graphics research, Luma is the place to be. We are doing groundbreaking research and bringing latest advances in the field directly to users as delightful products.

You'll define the new state-of-the-art in efficient differentiable rendering, computational geometry, volumetric rendering, and work with a team that executes and ships daily. You will have access to an unprecedented amount of 3D data and compute and every advancement you make will make 3D accessible to more and more people. You and your work will necessarily help define our technical roadmap, our product definition, and the trajectory of the company.

Competencies

Startup Mindset

• Value velocity and execution.
• Communicate clearly.
• Focus on building what will matter to users and the product.
• Be resourceful at finding creative ways to overcome challenges.

• Academic or industry research experience in differentiable rendering, realtime graphics and/or related fields.
• Strong first principles understanding of low level graphics primitives, geometry processing, and shading.
• Proficiency in C++, and Python. PyTorch and CUDA are a plus, but not required.
• Experience with extending game engines is a strong plus.

• Equity grant to reflect the incredible value you will bring to Luma, with annual refreshes.
• Excellent salary and benefits.
• Full health, dental, and vision coverage.
• Latest and greatest gear.
• Wellness and gym stipends.
• WFH stipends towards internet, house cleaner and phone.
• Unlimited paid time off with 12 days minimum.
• Unlimited sick days.

• In any role here, you will work with people experts in their field, and learn a *lot*
• We build. We ship. Your work will matter to people.
• We are building a very widely usable product, and you’ll get to work on equally wide variety of challenging problems.
• We have fantastic traction from early customers, whom you’ll get to work directly with.
• We have backing of some of the best VCs in Silicon Valley, and Angels from across the industry.

Who are we?

We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learns to understand the meaning, sentiment, and intent of the words we use in a richness never seen before. 

We've recently raised our Series C, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.

We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, and was previously part of Google Brain. Our entire technical team is world-class. 

We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.

As a Senior Site Reliability Engineer you will:

• Build self-service systems that automate managing, deploying and operating services.
• This includes our custom Kubernetes operators that support language model deployments.
• Automate environment observability and resilience. Enable all developers to troubleshoot and resolve problems.
• Take steps required to ensure we hit defined SLOs, including participation in an on-call rotation.
• Build strong relationships with internal developers and influence the Infrastructure team’s roadmap based on their feedback.
• Develop our team through knowledge sharing and an active review process.

• You have proven production experience with Kubernetes.
• You have hands-on coding experience developing services and automated tests (we use Go).
• You prefer contributing to Open Source solutions rather than building solutions from the ground up.
• You have experience scaling and debugging cloud-based infrastructure (we use GCP).
• You draw motivation from building systems that help others be more productive.
• You see mentorship, knowledge transfer, and review as essential prerequisites for a healthy team.

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Our Perks:

🤝 An open and inclusive culture and work environment 

🧑‍💻 Work closely with a team on the cutting edge of AI research 

🍽 Free daily lunch 

🦷 Full health and dental benefits, including a separate budget to take care of your mental health 

🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend

✈️ 6 weeks of vacation

#LI-Remote

Who are we?

We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learns to understand the meaning, sentiment, and intent of the words we use in a richness never seen before. 

We've recently raised our Series C, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.

We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, and was previously part of Google Brain. Our entire technical team is world-class. 

We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

Why this role?

As part of this role, you will be responsible for designing and building the best experience for developers to interact with the Cohere platform. Our mission is to ensure users come away inspired and excited to build with Cohere, and you will have the opportunity to make that happen.

Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.

As a Product Manager for Code Interfaces, your responsibilities include:

Customer Engagement and Research

• Work with developers to understand their needs and pain points through pair programming sessions, focus groups, customer interviews, conferences, etc.
• Collaborate with a small but ambitious team of designers, software and machine learning engineers
• Develop the vision, strategy, and roadmap for developer products & SDKs
• Research the competitive landscape, and industry trends to find new ideas and inspire the team
• Analyze product data to understand usage and find opportunities for improvement
• Work with leadership to shape and understand company strategy and goals

• Leverage insights from customer engagement to define and prioritize a product roadmap
• Spec and design improvements and features, including defining metrics for success
• Propose new initiatives and features 
• Work with partners and leadership to prioritize short and long-term investments

• Make tradeoffs during unforeseen challenges uncovered in the development process 
• Lead internal product planning, coordinating team resources and informing stakeholders
• Ensure projects are rolled out with clear metrics and hypotheses and define the next steps for success
• Market and celebrate successes and document learnings, internally and externally

• Embrace adjacent roles and responsibilities per team and project needs -- it’s a startup after all!
• Promote a culture of learning and listening

• 3+ years of product management experience with at least 2 years of experience directly coding with Python SDKs for SaaS products
• Experience building a developer-facing product such as an API
• Passion for great developer experience — you care about bringing value to our users
• Hands-on coding experience and previous experience as a software engineer
• A scrappy, startup mentality to move fast, iterate quickly, learn on the go, and take initiative
• Great communication and interpersonal skills working across different teams, personalities, and working styles

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Our Perks:

🤝 An open and inclusive culture and work environment 

🧑‍💻 Work closely with a team on the cutting edge of AI research 

🍽 Free daily lunch 

🦷 Full health and dental benefits, including a separate budget to take care of your mental health 

🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend

✈️ 6 weeks of vacation

#LI-Remote

We are looking for an Engineering Manager, NLP & Deep Learning to join our growing Machine Learning team and will report to the Director of Engineering, Machine Learning. You will lead a team that works on challenging problems to have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research. As an Engineering Manager, NLP and Deep Learning, you will manage planning and prioritization of upcoming work, coordinate multiple engineering teams, and coach team members. You will work closely with tech leads and scientists to evaluate priorities, spot potential problems before they occur, and support the team's technical roadmap with planned engineering investments. Our ideal candidate is flexible, supportive and knows when to step in and work hands-on with their team and when to lean out and direct.

You will:

• Execution: Own and drive execution of product and technical roadmaps. You will maintain and oversee the quality and output for everything your team provides
• Management: Take a leadership role in our hiring and onboarding processes. You will develop your team, guide their growth, and manage performance with fair, inclusive, and equitable practices
• Technical: Work with technical leads and engineers to provide guidance on technical solutions, backup plans, trade-offs, and design. You will ensure your experienced team provides quality, ensuring they feel a culture of risk-taking, and can experiment to find the best solutions. You will work hands on when needed to support your team's delivery goals.
• Processes: Work with Science, Web Apps, and Data Teams to define and improve processes across the company with growth in mind

• 4+ years working as a professional developer
• 2+ years working as an engineering team manager
• Experience hiring and building motivated engineering teams
• Strong experience with Python and programming fundamentals
• Extensive experience working with NLP (including NER) and PyTorch
• Experience with data engineering and machine learning design patterns and best practices
• Experience shipping machine learning into distributed, data-intensive production systems
• Strong to communicate and collaborate cross-functionally
• Worked on projects that have gone from proof-of-concept through multiple maintenance stages

Benefits and Perks: 

An engaging remote-first culture 

A great compensation package that includes BenchSci equity options

15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year

Unlimited flex time for sick days, personal days, religious holidays

Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services

A $2000 CAD* Annual Learning & Development budget

A $1000 CAD*  home office set-up budget

A $2500 CAD*wellness, lifestyle and productivity spending account for employees  

Generous parental leave benefits with a top-up plan or paid time off options

*Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.

About BenchSci:

BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform. 

Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.

Our Culture:

BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning. 

We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement. 

You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible.  Learn more about our culture.

Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey.  Learn more about our DEI initiatives.

Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.

#LI-Remote

Who are we?

We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learns to understand the meaning, sentiment, and intent of the words we use in a richness never seen before. 

We've recently raised our Series C, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.

We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, and was previously part of Google Brain. Our entire technical team is world-class. 

We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

Why this role?

Design and implement novel research ideas. 

Ship state of the art models to production.

Deep connections to academia.

We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational need.

Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.

As a Member of Technical Staff, you will:

• Design, train and improve upon cutting-edge models
• Develop new techniques to train and serve models safer, better, and faster
• Train extremely large scale models on massive datasets
• Engage in research collaborations with our partner organizations and academic affiliations
• Publish your work in top-tier conferences and journals
• Work closely with product teams to develop solutions
• Assist our legal teams with preparation of patents on developed IP
• Join us at a pivotal moment, shape what we build and wear multiple hats!

• Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR
• Experience using large-scale distributed training strategies
• Familiarity with autoregressive sequence models, such as Transformers
• Strong communication and problem-solving skills
• A demonstrated passion for applied NLP models and products
• Bonus: experience writing kernels for GPUs using CUDA
• Bonus: experience training on TPUs
• Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP)

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Our Perks:

🤝 An open and inclusive culture and work environment 

🧑‍💻 Work closely with a team on the cutting edge of AI research 

🍽 Free daily lunch 

🦷 Full health and dental benefits, including a separate budget to take care of your mental health 

🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend

✈️ 6 weeks of vacation

#LI-Remote

We all have important information we need to manage, and protecting it should be easy. Over 100,000 businesses and millions of people log in to 1Password to unlock smart, simple access to everything they care about. Our vision is to create a safer, simpler digital future for everyone, and our culture values simplicity, honesty and a human-centric approach to solving problems. Come help us unlock peace of mind so everyone can stay safer online.

1Password is searching for an Applied Machine Learning (ML) Engineer to join our Data Engineering team, supporting our data reliability function. In this role you will build algorithms that detect issues impacting data quality in our transactional or reporting systems, and improve our ability to isolate the root cause of reporting errors.

As a strategic thinker, you will thrive on tackling complexities and driving meaningful solutions. Your role will involve setting up ML infrastructure and applying ML to solve critical business problems. While ensuring data quality is paramount, you will also have the opportunity to explore and overcome a wide range of additional obstacles.

Come join our team if you can think critically, are passionate about collaborating, and using data to guide decisions. 

This is a Remote opportunity within Canada and the US.

What we're looking for:

• Bachelors or Higher Education in Computer Science, Statistics or related fields.
• Excellent understanding of ML techniques, including classification, regression, outlier detection
• 3+ years of SQL data modeling experience
• 3+ years of experience with Python and its data ecosystem (numpy, pandas, sklearn, etc.)
• Strong understanding of data engineering concepts and challenges
• Experience with AWS data technologies

• Prior experience as a data engineer preferred
• 2+ years of experience with Great Expectations

• Develop supervised unsupervised ML algorithms to detect data quality issues & detecting upstream changes
• Identify critical paths and classify various business edge cases
• Develop supervised ML algorithms to monitor key stages within the data transformation pipeline 
• Define Data Quality Statistics to monitor Key Metrics
• Perform statistical root cause analysis to identify clusters of bad data
• Deploy and monitor ML models in production 
• Perform ad hoc statistical and business analysis to identify where ML can optimize processes

United States-based roles only: The Annual salary for this role is between $143,000USD and $193,000USD, plus immediate participation in 1Password’s benefits program (health, dental, 401k and many others), utilization of our generous paid time off and, where applicable, participation in our incentive programs. All employees are owners of 1Password and receive an equity grant as part of their total package. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.

What we offer:

We believe in working hard, and resting hard. We’re always looking for new ways to support our team members, but here’s a glance at what we currently offer:

Health and wellbeing

> 👶 Maternity and parental leave top up programs

> 👟 Wellness spending account

> 🏝 Generous PTO policy 

> 💖 Company-wide wellness days off scheduled throughout the year 

> 🧠 Complimentary Headspace membership

> 🩺 Comprehensive health coverage

 Growth and future 

> 📈 Employee stock option program for all full time employees 

> 💸 Retirement matching program

> 💡 Training budget, 1Password University access, and learning sessions 

> 🔑 Free 1Password account (and friends and family discount!) 

Flexibility and community

> 🤝 Paid volunteer days 

> 🌎 Employee-led DEI&B programs and ERGs

> 🏠 Fully remote environment

> 🏆 Peer-to-peer recognition through Bonusly

You belong here.

1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.

Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.

Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this your Talent Partner would be happy to address them with you.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are being considered for a role at AgileBits, Inc. (dba 1Password, 1Password, we, us, or our), your information is stored in Lever, in accordance with Lever's Service Privacy Notice. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background.

Candidates may also optionally choose to self-identify their race/ethnicity, gender identity, sexual orientation, age, and disability. These answers will help us evaluate our diversity and belonging efforts. You do not have to answer these questions—your answers will not be linked to your name or job application, will not be visible to the hiring manager reviewing your application, and will in no way affect your job application. If you have any questions about the collection or use of this information, please contact [dpo@1password.com].

When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how we use or process your information, or if you would like to ask to access, correct, or delete your information, please contact our privacy team at [dpo@1password.com] or through 1Password Support.

If you’re passionate about generative modeling research, join us to build the next generation of creative 3D tools. We are doing groundbreaking research and bringing latest advances in the field directly to users as delightful products.

You will work towards solving challenging and fun problems in 3D generative modeling and have access to an unprecedented amount of 3D data and compute. Every advancement you make will give magical new capabilities to more and more people. You and your work will necessarily help define our technical roadmap, our product definition, and the trajectory of the company.

Competencies

Startup Mindset

• Value velocity and execution.
• Communicate clearly.
• Focus on building what will matter to users and the product.
• Be resourceful at finding creative ways to overcome challenges.

• Academic or industry research experience with generative models, especially GANs or diffusion models.
• Experience with large-scale distributed training and/or data collection is a plus.
• Strong first principles understanding of Machine Learning.
• A foundation in 3D graphics is a plus, but not required.
• Proficiency in Python and PyTorch.
• Proficiency in handling and processing large datasets.

• Equity grant to reflect the incredible value you will bring to Luma, with annual refreshes.
• Excellent salary and benefits.
• Full health, dental, and vision coverage.
• Latest and greatest gear.
• Wellness and gym stipends.
• WFH stipends towards internet, house cleaner and phone.
• Unlimited paid time off with 12 days minimum.
• Unlimited sick days.

• In any role here, you will work with people experts in their field, and learn a *lot*
• We build. We ship. Your work will matter to people.
• We are building a very widely usable product, and you’ll get to work on equally wide variety of challenging problems.
• We have fantastic traction from early customers, whom you’ll get to work directly with.
• We have backing of some of the best VCs in Silicon Valley, and Angels from across the industry.

Who are we?

We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learns to understand the meaning, sentiment, and intent of the words we use in a richness never seen before. 

We've recently raised our Series C, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.

We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, and was previously part of Google Brain. Our entire technical team is world-class. 

We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.

As a Senior Product Designer, you will:

• Take ownership of designing an intuitive and uncharted user experience in language AI. You’ll own strategic design decisions to achieve user and business outcomes by pioneering everything from features to entire platforms. 
• Be a strong advocate for our users not just through your visual deliverables but also through the processes in which you make product decisions in cross-functional team collaborations.
• Produce high-quality work and prototypes using Figma and other tools such as Adobe and C4D.
• Work closely with Product, Engineering, GTM, and Modelling to implement new features for both B2C and B2B customers.
• Contribute to design leadership decisions such as roadmaps and the future direction of Cohere’s offerings on a regular cadence.

• You have at least 5+ years of product design experience, and a track record of shipping products from zero to one. Bonus: you’ve worked on technical, creative, or enterprise tools.
• You're a strategist equipped with a versatile design process to get you from any problem to high-fidelity designs (rapid prototyping, stakeholder interviews, a metrics dive—whatever will get you there!)
• You’ve taken full ownership of a suite of features or a full product, leading its scope, research, and designs.
• You're committed to building and facilitating relationships with non-designers to execute your vision of the best user experience.
• You possess a breadth of design skills which makes you proficient in doing both product and visual work in a fast-paced, dynamic environment.
• You have a great instinct for visual design and therefore sweat the small details: from typography, colour, and layout, to animation.
• You're a clear communicator and are not afraid to take sides or challenge the ideas of your teammates (and vice versa).

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Our Perks:

🤝 An open and inclusive culture and work environment 

🧑‍💻 Work closely with a team on the cutting edge of AI research 

🍽 Free daily lunch 

🦷 Full health and dental benefits, including a separate budget to take care of your mental health 

🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend

✈️ 6 weeks of vacation

#LI-Remote

Who are we?

We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learns to understand the meaning, sentiment, and intent of the words we use in a richness never seen before. 

We've recently raised our Series C, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.

We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, and was previously part of Google Brain. Our entire technical team is world-class. 

We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

Why this role?

As a Solutions Architect at Cohere, you will play a significant role in growing the business and have a great deal of autonomy when it comes to technical pre- and post-sales. Your responsibilities will include developing a deep understanding of customer problems, mapping them to Cohere solutions, and working closely with our partners as the trusted technical advisor who owns the technical relationship with our stakeholders. By leveraging your expertise, you will help to increase the adoption of Cohere products, both internally and externally, and will gather valuable insights and feedback from customers to help shape the future of our products.

In this dynamic role, you will need to be both a strategic thinker and a hands-on doer. You will take a hands-on approach to building customer Proof of Concepts that showcase the business value of our platform. As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products.

Please Note: We have offices in Toronto, Palo Alto and London but embrace being remote-first! We are looking for candidates based in Canada or United States for this role, with a preference for candidates based in San Fran/Bay Area.

A typical day at Cohere might include:

• Leading the technical talk track on customer calls
• Deep dives on customer problems and Cohere technology
• Designing novel enterprise solutions with bleeding-edge NLP technology
• Facilitating customer evaluations and PoC
• Developing and documenting processes to enable the solutions architect team to scale effectively within Cohere
• Collaborating with the Product and Engineering teams to ensure our offering match the customers’ desires
• Working closely with our partners to develop a strategy for enabling and accelerating their customers

• 5+ years of customer-facing  technical pre/post sales Solutions Architect experience
• 5+ years working with Sales to drive GTM motions 
• 2+ years architecting or deploying cloud-native solutions
• A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's
• Fundamental knowledge of ML, and basic knowledge of AI, NLP, and Large Language Models (LLM)
• Comfortable working with Python and Jupyter Notebooks
• Comfortable using version control/Git
• Excellent communication skills - you can toggle seamlessly between presenting to CEOs, and getting in the weeds or white boarding with technical audiences
• High tolerance for ambiguity.
• You can identify and implement high-impact processes in unstructured environments.

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Our Perks:

🤝 An open and inclusive culture and work environment 

🧑‍💻 Work closely with a team on the cutting edge of AI research 

🍽 Free daily lunch 

🦷 Full health and dental benefits, including a separate budget to take care of your mental health 

🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend

✈️ 6 weeks of vacation

#LI-Remote

Who are we?

We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learns to understand the meaning, sentiment, and intent of the words we use in a richness never seen before. 

We've recently raised our Series C, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.

We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, and was previously part of Google Brain. Our entire technical team is world-class. 

We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

Why this role?

In this role, you will have ownership of the full sales cycle - from identifying leads to closing deals for high-growth tech companies and large enterprises. We’re looking for an approachable and compelling communicator who loves working with prospects to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them achieve their business goals. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across customer success, sales development, marketing and sales engineering. You’ll be the voice of the field and help our product, and engineering teams prioritize the Cohere roadmap with customer-centric care. It’s a highly self-directed role, so you should be someone who thrives in an unstructured environment and quickly evolving environment. And your opportunity for impact will be astronomical — Cohere has skies-the-limit potential, and you’ll help us reach it.

Please Note: We have offices in Toronto, Palo Alto and London but embrace being remote-first! We are looking for candidates based in Canada or the United States for this role.

As a Strategic Account Executive, you will:

• Focus on net-new logo acquisition via outbound activity and relationship building with key stakeholders
• Work closely with customers and prospects as a trusted advisor who deeply understands their challenges and goals, and will tailor solutions to drive impact for their businesses
• Work in close partnership with channel partners to find opportunities to scale outreach and customer satisfaction in your region
• Collaborate with product and engineering teams on strategic motions to deliver solutions to large enterprise customers
• Collaborate with Sales Development Representatives to drive top of funnel activity
• Own the full sales cycle – from initial outreach through proof-of-concept through deal close

• 8+ years of previous B2B sales experience with large enterprises, negotiating and closing SaaS deals in the 7 figure range, and a track record of high performance and beating your quota
• Previous experience selling technical products, such as developer tools, API products, or AI / NLP solutions, are a plus
• Previous experience working with channel partners to drive sales cycles and hit shared revenue goals
• High tolerance for ambiguity - as an early sales hire, you’ll have to be a doer and a strategist
• Curiosity - you want to go deep on NLP and become an expert on our technology
• Fantastic communication skills - you are a great listener, have a knack for understanding what matters most to others, build strong relationships, can speak to the c-suite, and feel comfortable speaking to both technical and non-technical audiences

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Our Perks:

🤝 An open and inclusive culture and work environment 

🧑‍💻 Work closely with a team on the cutting edge of AI research 

🍽 Free daily lunch 

🦷 Full health and dental benefits, including a separate budget to take care of your mental health 

🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend

✈️ 6 weeks of vacation

#LI-Remote

Who are we?

We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learns to understand the meaning, sentiment, and intent of the words we use in a richness never seen before. 

We've recently raised our Series C, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.

We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, and was previously part of Google Brain. Our entire technical team is world-class. 

We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

Why this role?

Product Managers have the unique opportunity and responsibility to both define product vision and drive results. On this team, you’ll get to work with one of the leading AI and NLP teams in the world and grow the product vision and company culture.

Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.

As a Senior Product Manager, your responsibilities include:

Customer Engagement and Research

• Work with developers and enterprise customers to understand their needs and pain points through feedback, focus groups, customer interviews, conferences, etc.
• Research the competitive landscape, industry trends, and stay up to date on the latest AI and deep learning papers from leading conferences (NeurIPS, ICLR, etc.) to find new ideas and inspire the team
• Analyze product data to understand usage and find opportunities for improvement
• Work with leadership to shape and understand company strategy and goals

• Leverage insights from customer engagement to define and prioritize a product roadmap
• Spec and design improvements and features, including defining metrics for success
• Propose new initiatives and features 
• Work with partners and leadership to prioritize short and long-term investments

• Make tradeoffs during unforeseen challenges uncovered in the development process 
• Lead internal product planning, coordinating team resources and informing stakeholders
• Ensure projects are rolled out with clear metrics and hypotheses and define the next steps for success
• Market and celebrate successes and document learnings, internally and externally

• Embrace adjacent roles and responsibilities per team and project needs -- it’s a startup after all!
• Promote a culture of learning and listening

• 5+ years of product management experience with at least 2 years of experience working with ML
• Direct experience working as part of a team building Large Language Models
• Released multiple features with several iterations
• Bachelor’s degree in Computer Science, a related technical field (math, EE, etc.), or relevant technical experience
• A scrappy, startup mentality to move fast, iterate quickly, learn on the go, and take initiative
• Great communication and interpersonal skills working across different teams, personalities, and working styles
• Experience working on a developer-facing product such as an API
• [Optional] Advanced technical degree (MS or PhD), or a background in machine learning, algorithms, large scale systems, and statistics

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Our Perks:

🤝 An open and inclusive culture and work environment 

🧑‍💻 Work closely with a team on the cutting edge of AI research 

🍽 Free daily lunch 

🦷 Full health and dental benefits, including a separate budget to take care of your mental health 

🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend

✈️ 6 weeks of vacation

#LI-Remote

Please read the IMPORTANT section at the end of this posting.

About Very

Very is a fully distributed IoT technology firm led by expert problem-solvers to create efficient, scalable solutions that move commercial, industrial, and consumer IoT projects from pilot to production in record time. 

We’ve built a collaborative, tight-knit team that thrives, whether we’re hanging out in person at our annual retreat or coordinating work across time zones. The results show that we’re doing something right — as we’ve won numerous workplace awards over the years. Most recently in 2021 we were certified as a Great Place to Work, and in 2022 we were listed again in Parity.org’s list of Best Companies for Women to Advance.

We believe that everything we build — and the people we build it with — has the potential to change the world. Our client list includes numerous well-known brands determined to leverage the power of IoT to drive material outcomes — such as Vizio, Peloton, Clear, iHeart Radio and Fellowes. Our goal, for each and every client we partner with, is to create high-value solutions through a collaborative and user-centered process.

About This Role

As a Generalist Lead Data Scientist at Very, you will work with our Software, Hardware, and Product Design teams to build full-service solutions for our clients. We focus on building end-to-end hardware and software solutions that meet our client's business needs, and reliable machine learning systems are often a part of our offering. An ideal candidate will display technical expertise in machine learning and data science, as well as strong communication skills, and the ability to present ideas and results to audiences ranging in technical depth.  Candidates should also have experience translating business problems into analytical solutions, working in interdisciplinary teams, and building ML models for production systems.

What You’ll Be Working On

At Very, there is a never-ending supply of variety to the types of projects we work on. However, it is critical to note that almost all of these projects are production systems. As such, the only consistent research component of this position will revolve around establishing a pattern of delivery that allows the team to implement full-scale applications leveraging machine learning in a fast, predictable manner. 

You’ll spend 80-90% of your time working on products or platforms for one of our clients, and the other 10-20% of your time will be spent improving Very’s Data Science Practice. This will involve:

- Working with other data scientists to continuously improve our delivery process for data science applications.

- Working with our marketing team to generate high-quality content (blog posts, conference presentations)

- Working with our sales team to close deals and build meaningful, well-scoped proposals for potential clients.

As a lead data scientist, you will be expected to not only understand the following analytical approaches but also be able to guide others in their implementation:

- Predictive modeling and/or anomaly detection on multivariate time series data

- State classification and prediction for geospatial time series data

- Regression and classification using a variety of deep learning and ensemble tree-based methods

- Clustering/segmentation

- Dimensionality reduction or latent space representation

- Classical statistical analysis and signal processing

Our Current Tooling

Our data science contracts typically involve building a greenfield API or greenfield product from the ground up. In the context of the data science and machine learning pipelines, we typically leverage:

- Git, GitHub, CircleCI or GitHub Actions (CI/CD), pytest (TDD)

- The standard SciPy Stack (Numpy, SciPy, Pandas, Scikit-Learn, Matplotlib)

- SQL/Postgres

- Docker

- Jupyter notebooks for prototyping

- Cloud architecture and resources for production systems. eg)

-- AWS: Lambda, ECR/ECS, RDS, API Gateway, Batch, Sagemaker

-- Azure: Functions, Container Registry/Instances, SQL Database [for PostgreSQL/MySQL], API Management, Machine Learning

-- 3rd party: TimescaleDB

- Serverless or Terraform for Infrastructure-as-Code

- MLflow

- PyTorch

On our full-service builds, we often reach for the following tools. Experience with them is not required, but any familiarity with these tools is a plus. Our build teams operate with a very high degree of collaboration, so you will definitely have run-ins with these stacks throughout your time here:

- Python web development frameworks (Django, Flask)

- React & React Native

- Swift & Objective C

- Ruby on Rails

As an IoT technology company our data science pipelines include “Things”. This will require you to build pipelines and deploy analytical models to hardware on the edge in addition to the cloud. This requires a deep collaboration with the design, software and hardware teams in the following environments:

- Elixir, Phoenix, and Nerves

- Embedded C and other lower level languages such as Rust

- CI/CD including hardware and end-to-end testing and verification

- Development Single-Board Computers such as RPi

At Very we have two types of lead positions; a specialist and generalist. Both positions go beyond the mastery of the core Data Science competencies to include a leadership position. The specialist lead focuses in great depth in one or more areas of Data Science and spreads that mastery across Very. The generalist lead takes a more multi-disciplinary approach and leads multi-disciplinary projects from a technical perspective.

Responsibilities

-- Work with stakeholders (clients, sales, engineers & designers) to define Statements Of Work (SOW)

-- Communicate how data science can deliver value to the client

-- Estimate quantity of work required to unlock this value

-- Identify related assumptions, risks and dependencies 

- Take ownership of the data science components and related systems to ensure project success

-- Architect, build and deploy reliable end-to-end data and ML pipelines into production

-- Ensure the highest level of testing across the full data pipeline and operating envelope

-- Execute and document all algorithm verification testing for certification

-- Build and nurture strong relationships with clients, understand their perspective and walk them through the data science value chain

-- Facilitate complex conversations to achieve alignment to drive positive outcomes   

- Continue to expand and evolve the Data Science (DS) practice at Very

-- Provide technical guidance to DS and non-DS team members

-- Pairs with mid team members to develop their skills and deliver on projects 

-- Continually learn, share and refine your DS skills and knowledge

-- Establish and enact DataOps and MLOps best practices 

- Take on the responsibility of Technical Lead on complex multi-disciplinary projects

- - Build reliable product roadmaps with technical implementation strategies

- - Monitor and optimize the technical implementation and coordination of the project

- - Identify and mitigate risks and seek assistance when required

- As a client services organization, travel may be required up to 10% of the time.

Qualifications

Required

- Master’s degree in Data Science related field

- 5+ years of related experience:

-- Deployed statistical, ML or other analytical models to production

-- Led teams with hardware and software engineers-

-- Performed real-time signal processing or led teams that did so

- Strong written and spoken communication skills in English

- Proficient in Agile development

- Mastery in analytical framing:

-- Breaking down solutions into “thin vertical slices” of work 

-- Guiding interdisciplinary team to successfully estimate and execute these slices   

- Deep understanding of all four types analytics (Descriptive, Diagnostic, Predictive & Prescriptive):

-- Translating desired client outcomes to the appropriate type

-- Understanding the data requirements and techniques to achieve each type  

- Experience using a cloud computing platform like AWS, GCP, or Azure

- Expert-level Python development skills related to Data Science:

-- Object-Oriented Programming

-- Automated testing, code coverage, model building & evaluation

-- SciPy Stack, Scikit-learn, Tensorflow or PyTorch

-- GitHub CI/CD best practices 

- Experience developing in, compiling and deploying low level software; C++, Embedded C or Rust preferred

- Proficient developing in Linux including and light administration

Nice-to-have

- 7+ years of related experience including with connected devices

- Proficient in embedded real-time signal processing

- AWS Professional level certification

- Familiarity with Elixir, Phoenix, and Nerves

- Hands-on experience with Single-Board Computers such as RPi

Compensation

Base Compensation

Between CAD $140,625 and $173,400 per year, commiserate with experience.

Variable Compensation

Up to 15% of your base compensation in the first year

We also offer world-class perks:

- Extended Health Care Insurance (Medical, Dental, Vision)

- Paid Parental Leave

- Life Insurance / AD+D

- Registered Retirement Service Plan RRSP = 25%  / Match- $1 CAD for every $4 CAD contributed.

- USD $600/yr Home Office Stipend to use towards your home office/workstation.

- $2,500 yearly stipend for continuous education upon one year of employment.  

- USD $150/mo Monthly Communications Stipend (Can be used towards Cell Phone Data Plan, WiFi Plan, VOIP, VPN)

- Annual company trip, all expenses paid.

- Loaned MacBook Pro (Provided)

Why Work for Very

You are more than your job title. At Very, we prioritize talent development and professional growth with a human-first approach that caters to the unique goals each individual brings to the team. 

Our core value, Invest in Our People, looks like collaborating with a cohort of talented people on a mission to get better every single day. It feels like working for a company that invests in you. And it means finding alignment with your career goals to get you where you want to be.

How do we bring our priorities to life? Of course we offer the typical world-class perks you would expect. Additionally, as a remote-first company (since 2011), we provide stipends for home office, telephone, and internet. Professional development funds and generous parental leave are also some of the benefits you can expect.

But a healthy company culture isn't just about perks. It's about creating an environment where our employees can thrive. Our work is fueled by smart, creative people whose lives are enriched by our experiences together. We learn together, we grow together, and we play together. Despite working across more than half a dozen countries, our teams connect regularly for work and for fun - on Slack, Zoom, and during an annual retreat. We’ve been remote-first from the beginning, so we know well what it takes to maintain a strong culture.  #LI-Remote

IMPORTANT: 

1. This job is to work for a US company. An advanced level of English is a must. Please refrain from applying if this is not your case. 

2. We currently don't offer work visa sponsorship. Do not apply if you require it to stay in Canada.

3. This job is remote but if you’re located in the province of Quebec, we cannot accept your application at this time. This is due to Quebec’s labor laws.

4. The region/country on the post's title is not related to the location of the clients we serve. It's a reference to the residence location of the applicant. All of Very's clients are North America-based.

5. Delivery team members may be required to travel up to 10% of the time. As a client services organization, this is expected.

Interviewing for a new company is a serious time commitment for all parties involved. Please take the time to read this and thoughtfully consider if we would be a good fit for one another.  No contractors or agencies. Seriously. #LI-Remote

At Netomi AI, we are on a mission to create artificial intelligence that builds customer love for the world’s largest global brands.

Some of the largest brands are already using Netomi AI’s platform to solve mission-critical problems. This would allow you to work with top-tier clients at the senior level and build your network.

Backed by the world’s leading investors such as Y-Combinator, Index Ventures, Jeffrey Katzenberg (co-founder of DreamWorks) and Greg Brockman (co-founder & President of OpenAI/ChatGPT), you will become a part of an elite group of visionaries who are defining the future of AI for customer experience. We are building a dynamic, fast growing team that values innovation, creativity, and hard work. You will have the chance to significantly impact the company’s success while developing your skills and career in AI.

Want to become a key part of the Generative AI revolution? We should talk.

Responsibilities

• Serve as a strategic partner for customers throughout the innovation and deployment lifecycle. Lead and Empower customers to connect their goals and challenges with solutions in our platform while increasing usage and adoption.
• Work with Netomi’s marquee logo customers to drive product adoption, renewal and customer satisfaction by bringing value to your customer portfolio.
• Assessing program performance results and trends, benchmarking, and senior leadership (SVP and C-level) presentations that tell the story on impacts and actions in support of the objectives.
• Serve as a Program Manager for initial implementation and ensure the customer is on track for their key milestones and has access to the right resources.
• Act as a trusted advisor, thought leader, and customer subject matter expert. Partner with customers to understand their current and future business goals and challenges and translate that into people, product and process strategies.
• Strategies to secure executive visibility of Netomi’s business results. Work across the customer’s business organisation to communicate these solutions' value and expansion to their team and executives.
• Partner with the internal account team (e.g. sales, product, support, and marketing) to design and execute optimal account plans for each customer.
• Assess the health of accounts based on set variables and manage activities to mitigate/manage risks.
• Prepare long-term account plans to establish strategic relationships, adjust/evolve as their objectives change, track critical strategic requirements etc.
• Hands-on experience with complex product integrations to drive the usage and adoption of our product.
• Evaluating the performance of project teams to ensure that targets and deadlines are met and communicate progress.
• Proactively sense and anticipate changes affecting strategy in the environmental landscape, including organisational improvements, technological advancements, and evolving organisational needs.

• More than 10+ years of experience in a Customer Facing role within a B2B SaaS environment or Management Consulting.
• Confident working in a fast-moving environment, with a willingness to make quick decisions based on continuous prioritisation and evolving customer needs.
• Good sense of curiosity with a genuine desire to learn and think with agility and apply them in new and new situations.
• Stellar written and verbal communication tailored to the persona.
• Proven track record to build strong relationships with VP and C-Suite Leadership in the customer portfolio.
• Ability to independently manage and run enterprise accounts.
• Strong project management, ability to successfully manage multiple tasks at any given point, strong relationship building skills & communication skills.
• Strong sense of technical knowledge, working knowledge of APIs, managing integrations.
• Plus -Familiarity with Customer relationship management software, Support platforms (Salesforce, ServiceNow, Zendesk etc.)

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.