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Primary Venture Partners is looking for an Operator-In-Residence (OIR) to join its Incubation program with a focus on SMB Tech. Primary is an early-stage venture capital firm with close to $1B AUM, investing in pre-seed and seed-stage startups based in New York City. The firm’s Incubation arm launched in 2019 to support the ideation, research and launch of new startups. Primary’s first three incubated companies will return its first fund many times over, and Primary is now primed for substantial growth in its Incubation efforts in 2023.

OIRs at Primary engage in generating and vetting new ideas in targeted industry verticals, conducting extensive diligence on those ideas, and preparing a business case for pre-seed investment from the firm. OIRs also have the opportunity to double down with a specific business into the launch phase as a member of the founding team, recruiting key executives and getting the business up and running from 0 to 1, or returning to the Incubation program to do it all over again. To learn more about the OIR opportunity, watch this video and read this blog post.

The ideal OIR candidate is a versatile strategist, startup enthusiast, and exceptional, hands-on doer who has experience as an engineer or data scientist but has also gotten business experience in finance, consulting, or startups. You should have technical skills and a desire to deeply understand business models, the startup landscape, and emerging trends across SMB tech. You should excel when analyzing markets, conducting customer discovery interviews, researching competitors, building financial models, and translating findings into compelling presentations and narratives on markets and business opportunities. Most of all, you are passionate about entrepreneurship, the startup and VC landscape, and building networks. If you are in an MBA program, we are open to a part-time arrangement until you graduate, at which point you would begin full-time.

What You'll Do:

• Support Primary’s idea generation and vetting process
• Conduct intensive market analysis, competitive landscaping and customer research
• Develop business models, product roadmaps, and go-to-market strategies for the most promising startup ideas
• Create pitch decks and other investor materials
• Join the company in its launch phase as a founding team member responsible for gaining initial traction, building out the rest of the team, and supporting business operations or go back to the drawing board with the Incubation program all over again

• Self-starter: you have an entrepreneur’s intrinsic motivation, capable of independently running with business ideas with substantial ambiguity
• Network-builder: you’re comfortable developing relationships with industry leaders from the ground up; having your own personal network in SMB tech is a plus
• Entrepreneurial: you are eager to engage in the venture and startup ecosystem and have your finger on the pulse when it comes to new deals and emerging business models in the SMB tech landscape
• Storyteller: you’re able to learn rapidly, develop a strong point of view, and communicate compelling narratives
• Commercially-minded: you are comfortable with financial models and concepts and can quickly assess the feasibility and scalability of a new venture idea
• 6+ years of experience in consulting, investing, or startups with a vertical SaaS focus
• MBA not required but a plus

Compensation

Compensation is market-competitive with a yearly cash base of $140,000 - $180,000 and will include equity in the startup you help to build.

If interested, please apply below. We look forward to meeting you.

Primary Venture Partners is looking for an Operator-In-Residence (OIR) to join its Incubation program with a focus on GTM SaaS. Primary is an early-stage venture capital firm with close to $1B AUM, investing in pre-seed and seed-stage startups based in New York City. The firm’s Incubation arm launched in 2019 to support the ideation, research and launch of new startups. Primary’s first three incubated companies will return its first fund many times over, and Primary is now primed for substantial growth in its Incubation efforts in 2023.

OIRs at Primary engage in generating and vetting new ideas in targeted industry verticals, conducting extensive diligence on those ideas, and preparing a business case for pre-seed investment from the firm. OIRs also have the opportunity to double down with a specific business into the launch phase as a member of the founding team, recruiting key executives and getting the business up and running from 0 to 1, or returning to the Incubation program to do it all over again. To learn more about the OIR opportunity, watch this video and read this blog post.

The ideal OIR candidate is a versatile strategist, startup enthusiast, and exceptional, hands-on doer who has experience as an engineer or data scientist but has also gotten business experience in finance, consulting, or startups. You should have technical skills and a desire to deeply understand business models, the startup landscape, and emerging trends across GTM SaaS. You should excel when analyzing markets, conducting customer discovery interviews, researching competitors, building financial models, and translating findings into compelling presentations and narratives on markets and business opportunities. Most of all, you are passionate about entrepreneurship, the startup and VC landscape, and building networks. If you are in an MBA program, we are open to a part-time arrangement until you graduate, at which point you would begin full-time.

What You'll Do:

• Support Primary’s idea generation and vetting process
• Conduct intensive market analysis, competitive landscaping and customer research
• Develop business models, product roadmaps, and go-to-market strategies for the most promising startup ideas
• Create pitch decks and other investor materials
• Join the company in its launch phase as a founding team member responsible for gaining initial traction, building out the rest of the team, and supporting business operations or go back to the drawing board with the Incubation program all over again

• Self-starter: you have an entrepreneur’s intrinsic motivation, capable of independently running with business ideas with substantial ambiguity
• Network-builder: you’re comfortable developing relationships with industry leaders from the ground up; having your own personal network in the GTM SaaS space is a plus
• Entrepreneurial: you are eager to engage in the venture and startup ecosystem and have your finger on the pulse when it comes to new deals and emerging business models in the GTM SaaS landscape
• Storyteller: you’re able to learn rapidly, develop a strong point of view, and communicate compelling narratives
• Commercially-minded: you are comfortable with financial models and concepts and can quickly assess the feasibility and scalability of a new venture idea
• 6+ years of experience in consulting, investing, or startups with a GTM SaaS focus
• MBA not required but a plus

Compensation

Compensation is market-competitive with a yearly cash base of $140,000 - $180,000 and will include equity in the startup you help to build.

If interested, please apply below. We look forward to meeting you.

StubHub is seeking a Photo Editor team member who will create the engaging content that makes StubHub’s website truly stand out. You will be responsible for searching for, editing, uploading, and managing all performer and venue imagery on both the StubHub and Viagogo platforms. This role will focus particularly on the enhancement and maintenance of our catalogue of global live event imagery. It requires strong attention to detail as you will be primarily responsible for the quality control of these images, as well as familiarity with industry best practices when it comes to cloud-based imagery storage and copyright rules. This person will work within the Catalogue Team and work cross-functionally with product, supply, business operations, and event data management to drive a world-class ticket buying experience. 

LOCATION: 

The Photo Editor/Digital Asset Manager (Metadata Operations) role will be based in New York, NY and will report into our catalogue metadata leader. This is a hybrid position.

What you'll do:

• Enhance StubHub’s event catalog by adding imagery directly onto the frontend website and maintaining the quality of our images
• Use photoshop to improve images that you find to meet our quality guidelines and to make users genuinely excited about upcoming events
• Be the subject matter expert when it comes to the storage of StubHub’s imagery in the cloud, including how to upload, move, and edit all images programmatically
• Validate the imagery that is sourced by our internal catalogue teammates, as well as outsourced teams throughout the world
• Enrich the catalog through research about venue and event information to make the catalog more attractive
• Handle requests for imagery changes in addition to updating the imagery when necessary – fix and troubleshoot issues that arise
• Work with product teams on enhancing tools to improve speed and efficiency that drive revenue
• Look for opportunities to improve internal processes that support both buyers and sellers
• Support other functions where necessary to deliver a great ticket buying and selling experience

• BS/BA degree or equivalent
• 4+ years of photo editing experience
• Excellent working knowledge of Adobe Photoshop
• Knowledge of AI-based image creation services such as Midjourney a plus
• Experience using DAM (Digital Asset Management System) and strong attention to detail for metadata accompanying images in the DAM
• Proven ability to work under tight deadline pressure with strong organizational skills
• A strong interest in photo research and a keen eye for photographs, graphics and interactive technologies
• Experience negotiating and working with photo agencies who events companies with rights managed and royalty free imagery
• A passionate fan of all things live entertainment (concerts, festivals, musicals, plays, performing arts, sports)
• Flexibility, especially in a fast-changing environment
• Strong written and oral communication skills
• Team player who is comfortable working with various departments
• Quick learner who is able to work independently

The anticipated gross salary range for this role is $75,000-$100,000 per year. Actual compensation will vary depending on factors such as a candidate’s qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub’s total compensation and competitive benefits package, 401(k), paid time off, paid parental leave, and comprehensive health benefits. 

About us:

StubHub is on a mission to give the world the freedom to connect to powerful live experiences no matter where they are, whenever they want. Whether it's Harry Styles, the Yankees, Billie Eilish or Real Madrid, we're here to give fans the access to the live entertainment they love. That means we must power the destination for every type of live event fan to unlock the transformative live experience that’s right for them. We are their ticket to unforgettable memories – the crack of the bat, the first guitar chord or drum tap, the roar of the crowd at the championship winning goal, the joke that makes their belly ache from laughter. To do this, we must have the most premiere industry partnerships that deliver more seamless integrated solutions and aggregate the widest event catalogue, know our customers to design more personalized discovery of that very catalogue and get that fan into the event of their dreams so they keep coming back. Daily innovation is at the crux of how we do this and a passionate team that rigorously prioritizes the most results-oriented work they can deliver is what gets it done and keeps us leading the industry.

We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Vevo is the world's leading music video network, connecting an ever-growing global audience to high quality music video content for more than a decade. Founded by Universal Music Group and Sony Music Entertainment in 2009, Vevo offers fans worldwide a vast array of premium content to choose from, showcasing official music videos alongside a constantly developing lineup of live performances and innovative original programming. From top superstars to rising new talents, Vevo brings incomparable cross-promotional support to artists across the musical spectrum, at every stage of their careers.

Vevo has consistently evolved over the past decade to lead within today's ever-changing media landscape, embracing partnerships with a number of leading distribution platforms to deliver extraordinary content within ad-supported environments. With more than 25B views across television, desktop and mobile devices each month, Vevo brings music videos to the world – when, where, and how fans want them.  

We are seeking a Head of Data to join our team of talented Data professionals. This role reports

into the EVP of Revenue, Distribution, and Data Operations. This role is responsible for

managing the Data Analytics and Data Science teams. As the Head of Data, you will play a vital

role in the Data Operations Organization leading our data strategy and driving data-driven

decision-making. You will be responsible for overseeing analysis, and interpretation to derive

valuable insights and guide our business growth. Additionally, you will collaborate with cross-

functional teams to identify opportunities for data utilization and develop innovative solutions.

Your expertise in data management, machine learning, and statistical analysis will be invaluable

in shaping our data-driven culture.

As a leader on our team, you will:

• Develop and implement data operations strategies aligned with the organization's goals and objectives.
• Work collaboratively with Data Engineering leaders to set Data Operations priorities. 
• Work with business stakeholders across the organization to address their data needs. 
• Help drive Vevo into becoming a more data driven company at all levels of the organization. 
• Own the organization and management of data for the organization.
• Recommend and drive best data practices and systems for the organization to use. 
• Participate in the data governance body at the organization. 
• Establish and enforce data governance policies and procedures to ensure data accuracy, integrity, and security.
• Define and implement processes to maintain high data quality standards, including data cleansing, validation, and enrichment.
• Work collaboratively with Data engineering on Vevo’s Data Infrastructure Management. 
• Collaborate with stakeholders to identify and deliver actionable insights through data analysis and reporting, enabling informed decision-making.
• Develop metrics and KPIs to measure and monitor data operations performance, ensuring efficiency and effectiveness.
• Work closely with cross-functional teams such as P&E, finance, Content & Programming, Sales, and operations, to understand their data requirements and provide support.
• Ensure data operations comply with relevant data protection regulations (e.g., GDPR) and implement security measures to protect sensitive data.
• Stay updated with emerging technologies and industry best practices, driving innovation and continuous improvement within data operations.

• Strong knowledge and hands-on experience in data management, data governance, data quality, and data integration. Familiarity with various data technologies and platforms is important.
• Proven leadership abilities with a track record of managing, building, and leading high-performing data teams.
• Experience in setting data strategies, defining objectives, and driving results.
• Ability to develop and execute a data strategy aligned with business goals. Proficiency in data analytics, including statistical analysis, data modeling, and data visualization.
• Strong technical background in data-related technologies, such as databases (SQL and NoSQL), data warehouses, ETL (Extract, Transform, Load) processes, business intelligence tools, and programming languages like Python.
• Excellent communication skills to effectively communicate with stakeholders, cross-functional teams, and senior management. Ability to present complex data concepts in a clear and concise manner.
• Demonstrated passion for staying up-to-date with the latest advancements in data technologies, industry trends, and best practices. Willingness to learn and adapt to evolving data landscapes.

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Business Analytics, or a related field.
• 10+ years of executive leadership experience overseeing data strategy and analytics, Strong understanding of data management principles, data warehousing, and data governance.
• Hands-on expertise with data analytics, CRM, and visualization tools and platforms such as Python, R, SQL, Tableau, Power BI, HubSpot, Google Data Studio, and Google Analytics.
• Understanding of and experience working with big data technologies and cloud-based data platforms (e.g., AWS, Google Cloud Platform, Azure).
• Familiarity with machine learning and AI techniques, including supervised and unsupervised learning, natural language processing, and predictive modeling.
• Strong business acumen and the ability to translate data insights into actionable strategies and recommendations.

• We're a fun, energetic, and tight-knit team.  
• We really enjoy music and technology.
• We have competitive compensation and benefits packages.  
• We have premier access to music content and new releases of original media content.

The pay range for this position is: $300k-$325k per year. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Transparency Law.

This is a full-time position based on-site/in our New York office. Vevo currently operates in a hybrid work model and requires all employees, who have not been designated as "remote" to be in the office/studio a minimum of 3 days a week.

Vevo considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, age, disability, genetic information, veteran status, or any other legally protected status under local, state, or federal law. 

Axion Ray’s mission is to improve the quality and safety of engineered products - airplanes, electric vehicles, and medical devices, by creating the world’s best proactive management platform, powered by the latest advances in artificial intelligence. We're revolutionizing the way next-gen vehicles are made and are partnering with forward-looking engineering leaders to create and deploy AI models that will accelerate our speed to an electric and supersonic future. Axion leverages bleeding-edge tech & AI stack - including Generative AI and NLP/LLMs - to solve real-world problems.

Our team includes experts in Enterprise AI from Palantir, McKinsey & QuantumBlack, and other top tech companies.

Since our founding at the onset of 2021, we’ve deployed across some of the largest Automotive and Aerospace companies in the world. If you want the chance to help build the future of engineering, join us!

This position requires NYC/SF location. This is not an internship or new grad position as we are seeking experienced individuals.

What You'll Do

• Work on both data exploration and building data pipeline
• Help the engineering leaders we work with understand their data and problems which can be solved using the platform
• Play an active role in team meetings and workshops with clients
• Rotate between client project work and internal product development in alignment with your personal development plan

• Comfortable working in an unstructured environment
• Cares about writing clean, well-documented code in Python and/or Scala (and Spark)
• Has build data pipelines ensuring required data accuracy using unit/integration tests
• Is proficient in distributed computing frameworks like Apache Beam, Spark
• Has worked with orchestration and scheduling tools like airflow, kubeflow, luigi, dagster
• Is able to use SQL to derive quick insights from databases
• Is comfortable in deploying data/code to the cloud (GCP/AWS)
• 3+ years of industry experience building data pipelines

• Experience with hosting databases to power web based SaaS products
• Experience with ad-hoc data analysis tools / libraries like jupyter notebooks / pandas
• Experience with a growing company
• Experience working with aerospace or automotive companies
• Experience with MongoDB
• Experience with GraphQL

• The base salary range for New York is $130k - $160k

Axion Ray is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws.

Axion Ray’s mission is to improve the quality and safety of engineered products - airplanes, electric vehicles, and medical devices, by creating the world’s best proactive management platform, powered by the latest advances in artificial intelligence. We're revolutionizing the way next-gen vehicles are made and are partnering with forward-looking engineering leaders to create and deploy AI models that will accelerate our speed to an electric and supersonic future. Axion leverages bleeding-edge tech & AI stack - including Generative AI and NLP/LLMs - to solve real-world problems.

Our team includes experts in Enterprise AI from Palantir, McKinsey & QuantumBlack, and other top tech companies.

Since our founding at the onset of 2021, we’ve deployed across some of the largest Automotive and Aerospace companies in the world. If you want the chance to help build the future of engineering, join us!

What you'll do

• Contribute to the data visualization aspect of Axion’s core platform
• Play an active role in planning and team meetings
• Work with the leadership to set the standards for frontend engineering practices

• Has 3+ years of experience building web based dashboards
• Is proficient in front-end technologies like React (preferable), Vue.JS or Angular
• Is proficient in using javascript based data visualization libraries like like D3.js
• Is fluent in one or more of the following programming Languages/Runtimes: JavaScript, Typescript, nodeJs
• Well versed in modern Cloud Technologies and Hyperscaler environments (GCP/AWS) and container environments (Kubernetes/Docker)
• Understand agile software development methodologies
• Has passion to develop UX focused web apps
• Is sharp-minded Web Developers with a clear way of expressing things

• Experience in working on enterprise SaaS products
• Experience building web APIs, preferably in nodeJS or DotNet
• Experience with creating dynamic data visualization dashboards
• Experience with a growing company
• Experience working with aerospace or automotive companies

• The base salary range for New York is $120k - $150k

• Highly competitive compensation
• Meaningful equity
• Career development and leadership opportunities
• A great team
• We bring a unique combination of technical and business skills, with company leaders from top tech companies like Spotify, business leadership from McKinsey, and automotive leadership from GM and Ford.
• We’re an interdisciplinary team that prizes collaboration & diversity of thinking

Axion Ray is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws.

Axion Ray’s mission is to improve the quality and safety of engineered products - airplanes, electric vehicles, and medical devices, by creating the world’s best proactive management platform, powered by the latest advances in artificial intelligence. We're revolutionizing the way next-gen vehicles are made and are partnering with forward-looking engineering leaders to create and deploy AI models that will accelerate our speed to an electric and supersonic future. Axion leverages bleeding-edge tech & AI stack - including Generative AI and NLP/LLMs - to solve real-world problems.

Our team includes experts in Enterprise AI from Palantir, McKinsey & QuantumBlack, and other top tech companies.

Since our founding at the onset of 2021, we’ve deployed across some of the largest Automotive and Aerospace companies in the world. If you want the chance to help build the future of engineering, join us!

What you'll do

• Hire and scale up a team of data scientists & machine learning engineers
• Work end-to-end from data exploration, creating data pipeline, generating insights/features, building ML models to deploying them
• Help on consulting style pilot projects where we enable clients to understand their data and problems which can be solved using the platform
• Work closely with data scientists and data engineers to build and deploy machine learning models
• Play an active role in leading team meetings and workshops with clients
• Work with the leadership to set the standards for software engineering practices within the machine learning engineering team and support across other disciplines
• Rotate between client project work and internal product development in alignment with your personal development plan

• Enjoys deriving insights from ML models, building explainable ML models and not just black box algorithms
• Cares about writing clean, well-documented code in Python and/or Scala (and Spark)
• Is excited about data exploration (in BigQuery/Jupyter notebooks/SQL) as well as building models and setting up data/ML pipelines
• Is comfortable working in an environment where priorities evolve
• Is able to use SQL to derive quick insights from databases
• Is comfortable in deploying data/code to the cloud (GCP/AWS)
• Understands the best practices of collaborative coding using tools like Git, CI/CD
• 3+ years of industry experience in data science/ML

• Experience with NLP
• Experience with a startup
• Experience working with aerospace or automotive companies

• Highly competitive compensation
• Meaningful equity
• Career development and leadership opportunities
• A great team
• We bring a unique combination of technical and business skills, with company leaders from top tech companies like Spotify, business leadership from McKinsey, and automotive leadership from GM and Ford.
• We’re an interdisciplinary team that prizes collaboration & diversity of thinking

Axion Ray is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws.

Our mission is to power the future of fan engagement. 

Simplebet is a B2B sports technology company that uses machine learning and real-time solutions to make every moment of every sporting event a betting opportunity. We’re reimagining how people enjoy sports with products that are simple, intuitive, and entertaining.  Our technology powers micro-betting capabilities of the leading operators around the globe.

Simplebet is looking for a Machine Learning Engineer to build and support the machine learning models and infrastructure that power our micro betting experiences. As we grow our business to cover new sports, new betting markets, and new sportsbook partners, you will be integral in ensuring that we are providing our partners with best-in-class sports betting models.

We’ll Trust You To:

• Build machine learning models to predict sports outcomes and power sports betting markets
• Contribute to systems that support the full machine learning lifecycle, including research, iteration, model deployment, low-latency prediction, and model observability
• Design and implement mathematical solutions that enable accurately pricing novel sports betting markets

• 4+ years of experience as a Machine Learning Engineer, Data Scientist, or Software Engineer
• Advanced understanding of Python and the machine learning ecosystem in Python (Numpy, Pandas, Scikit-learn, LightGBM, PyTorch, SHAP)
• Strong software engineering skills and experience implementing scalable machine learning solutions in production
• A passion for sports (e.g. NFL, MLB, NBA)
• Strong understanding of statistics and machine learning

• Experience working across data and product teams
• Experience with machine learning observability and explainability
• Experience with Databricks
• Projects involving creative analysis of sports data
• Experience in sports betting

• Competitive salary, vacation, and equity commensurate to experience
• Health, dental, and vision insurance
• 401k match
• Starting base salary is $150,000, but may vary depending on experience.

Simplebet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

We are committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Please let us know if you require reasonable accommodation for the interview process, and we will make every effort to provide it.

Axion Ray’s mission is to improve the quality and safety of engineered products - airplanes, electric vehicles, and medical devices, by creating the world’s best proactive management platform, powered by the latest advances in artificial intelligence. We're revolutionizing the way next-gen vehicles are made and are partnering with forward-looking engineering leaders to create and deploy AI models that will accelerate our speed to an electric and supersonic future. Axion leverages bleeding-edge tech & AI stack - including Generative AI and NLP/LLMs - to solve real-world problems.

Our team includes experts in Enterprise AI from Palantir, McKinsey & QuantumBlack, and other top tech companies.

Since our founding at the onset of 2021, we’ve deployed across some of the largest Automotive and Aerospace companies in the world. If you want the chance to help build the future of engineering, join us!

What you'll do

• Work end-to-end from data exploration, creating data pipeline, generating insights/features, building ML models to deploying them
• Help on consulting style pilot projects where we enable clients to understand their data and problems which can be solved using the platform
• Work closely with data scientists and data engineers to build and deploy machine learning models
• Play an active role in leading team meetings and workshops with clients
• Work with the leadership to set the standards for software engineering practices within the machine learning engineering team and support across other disciplines
• Rotate between client project work and internal product development in alignment with your personal development plan

• Enjoys deriving insights from ML models, building explainable ML models and not just black box algorithms
• Cares about writing clean, well-documented code in Python and/or Scala (and Spark)
• Is excited about data exploration (in BigQuery/Jupyter notebooks/SQL) as well as building models and setting up data/ML pipelines
• Is comfortable working in an environment where priorities evolve
• Is able to use SQL to derive quick insights from databases
• Is comfortable in deploying data/code to the cloud (GCP/AWS)
• Understands the best practices of collaborative coding using tools like Git, CI/CD
• 3+ years of industry experience in data science/ML

• Experience with NLP
• Experience with a startup
• Experience working with aerospace or automotive companies

• Highly competitive compensation
• Meaningful equity
• Career development and leadership opportunities
• A great team
• We bring a unique combination of technical and business skills, with company leaders from top tech companies like Spotify, business leadership from McKinsey, and automotive leadership from GM and Ford.
• We’re an interdisciplinary team that prizes collaboration & diversity of thinking

Axion Ray is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws.

At Spotify Advertising, our mission is to build the next generation advertising platform for audio which can scale the freemium experience for hundreds of millions of fans and tens of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities to define the product for our business.

The Strategic Economics Research Solutions team is looking for an experienced insights manager for data science in Spotify Advertising. We use the science of Economics and Data Science to shape strategy and products. We deliver foundational strategic research and build scalable sales tools.

In this role, you will manage a team that builds tools and insights for our pre and post sales processes in advertising. You will join a centralized research team of data scientists and PhD economists to build novel tools and research. If this sounds exciting, please apply!

What You'll Do

• Lead sales tooling and insights team in Spotify Advertising
• Deliver on challenging large-scale problems with complexity and ambiguity
• Write code (Python, R, SQL, etc.) to obtain, manipulate, and analyze large data
• Work closely cross-functionally with sales, data engineers, economists, and engineers
• Build, scale, and maintain metrics, dashboards, and sales tools across many users and functions
• Communicate and support data-driven decision making to key partners at the Director, VP, and Executive levels

• 5+ years of experience in an analytics and/or data science role, with either direct people manager or extensive mentorship experience
• Strong analytical skills, including analysis and modeling of big data using SQL, Python and/or R, statistics, A/B testing, and experimental design required
• Experience building data visualizations and dashboards (e.g., Tableau or similar BI solution)
• Effective at building strong, influential relationships with colleagues and partners, with demonstrated success in delivering impactful insights to executives

• We are a distributed workforce enabling our band members to find a work mode that is best for them!
• Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours.
• Working hours? We operate within the Eastern Time time zone for collaboration.
• Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.

The United States base range for this position is $134,235 - $191,765 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, 23 paid days off, 13 paid flexible holidays

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

At Hearth, our mission is to radically expand our capacity to make sense of our networks. To empower teams to identify more mutuality and matched opportunities, we are building a network co-pilot that combines natural language interfaces with an elegant UI. Founded in 2022, Hearth envisions a new category of relationship-management led by AI that fundamentally augments our ability to focus on connection.

About Hearth

• Hearth's vision is AI that radically expands our capacity to act on our networks by making sense of the branching complexities of our relationships
• As an AI Chief of Staff, Hearth interacts with teams through a natural language interface and supports different network workflows
• We raised our seed from top Silicon Valley VCs
• Founded by Ashe Magalhaes (ML engineer in philanthropy, politics, tech)

• Work directly with founders to drive implementation of long-term ML infrastructure
• Tackle unsolved AI research problems in relationship management
• Develop novel solutions for centralizing disparate network data, contact enrichment, and workflow recommendations
• Lead an engineering culture that is authentic, dynamic, and warm - as we grow, you'll have autonomy to stay an individual contributor or manage

• Have meaningfully contributed to large-scale machine learning infrastructure projects
• Have experience in backend development and modeling integrations (ideally you are experienced in SQL/relational databases and NodeJS)
• Be a detail-oriented and opinionated engineer excited by rapid development cycles and building clean and documented applications

We're a small team of builders and artists based in New York City, united by a love of people, disciplined focus, fast execution, and the creative invitation to craft with skillful care. We believe talent is the ability to let ideas manifest themselves through you. We welcome the not knowing, the challenging tasks, the cyclic confrontation of ideas with real-world feedback. We're here to create.

Swayable and parent company Worldview Incorporated is looking for an exceptional hands-on AI / LLM / deep learning hacker to be its first Director of AI.

About Swayable

Swayable is a rapidly-growing cloud analytics product that measures public opinion and the impact of messages on it. Its 35-person team is backed by top technology and social impact investors, including Y Combinator as well as the founders of G-Mail, Buzzfeed and product leadership of Airbnb. Founded in 2018 by two physics PhDs, it is led by the former Executive Director for Digital Strategy at the New York Times. Clients include major consumer-facing brands (Square, Paramount Pictures, Amazon), researchers (MIT, Yale, Stanford), and mission-aligned advocacy campaigns (including multiple Democratic Presidential candidates).

Joining Swayable means being on a team whose work changes the course of history. The technology we develop is at the leading edge of transforming some of the world’s most important campaign organizations and enterprises: combatting disinformation, protecting democracy, and supporting the sustainable growth of consumer-facing brands. Check our our values & culture deck to learn more: https://tinyurl.com/4zjchwzs

About the Role

The Director of AI will be a builder, researcher, developer and thought-partner to the Swayable CEO and CTO. Their job will be to discover, prototype and prove out the highest-value applications of cutting-edge AI across business operations, product and fundamental research.

This is a unique opportunity to take advantage of unique resources to advance the leading edge of applied AI. Those resources include the world’s largest dataset of RCT survey experiment results, an established team of top software engineers and scientists, academic partnerships, and a direct line into existing enterprise customers so that prototypes can be quickly ramped up into in-market products.

About You

You have a very up-to-date background in AI including active development, deployment and/or fine-tuning of large language models. Credentials are less important than direct evidence of extraordinary ability, and being tapped into the latest development in the field, up to the minute.

To apply, please send evidence of extraordinary ability.

Company at a Glance

OpenX is focused on unleashing the full economic potential of digital media companies. We do this by making digital advertising markets and technologies that are designed to deliver optimal value to publishers and advertisers on every ad served across all screens.

At OpenX, we have built a team that is uniquely experienced in designing and operating high-scale ad marketplaces, and we are constantly on the lookout for thoughtful, creative executors who are as fascinated as we are about finding new ways to apply a blend of market design, technical innovation, operational excellence, and empathetic partner service to the frontiers of digital advertising.

OpenX is looking for talented and highly motivated software engineers to help us innovate and improve our products. You will work closely with the OpenX Data Science team to find areas where machine learning and other techniques can be applied to directly improve profitability and efficiency. You will work with huge data sets, design experiments, and write the code to implement optimizations based on the results.

Key Responsibilities

• Develop high-performance, low-latency backend components.
• Work with analysts and scientists to design, implement, and analyze experiments aimed at increasing yield for publishers and improving efficiency for our advertising partners.
• Architect, implement and deliver new features and functionality.
• Work with Engineering and Product teams distributed across multiple locations to drive requirements, and own the projects end-to-end.

• 2-3 years of engineering experience with backend languages like Java, Golang, or Erlang
• Excellent communication in written and spoken English
• Experience writing SQL queries
• Experience with GCP, Docker, Kubernetes, and Cloudbuild
• Excellent communication in written and spoken English
• B.S./M.S. in Computer Science or an equivalent discipline

OpenX VALUES

Our five company values form a solid bedrock serving to define us as a group and guide the company. Our values remind us that how we do things often matters as much as what we do.

WE ARE ONE

We are one team. There are no exceptions. We are a group of strong and diverse individuals unified by a shared mission. We embrace challenges and win together as a team. We respect and care about our colleagues and cultivate an inclusive culture

WE ARE CUSTOMER CENTRIC

We innovate on behalf of our customers. We understand, respect, and listen carefully to our customers. We build great products to solve our customers’ problems. We manage our customers’ expectations clearly and honestly. We are a trusted partner to all of our customers - we act with integrity at all times. We care.

OPENX IS OURS

We innovate on behalf of our customers. We understand, respect, and listen carefully to our customers. We build great products to solve our customers’ problems. We manage our customers’ expectations clearly and honestly. We are a trusted partner to all of our customers - we act with integrity at all times. We care.

WE ARE AN OPEN BOOK

We understand and respect what each of us does. We are eager to teach and share what we know with others, both internally and externally. We are eager to learn from others and we ask questions internally and externally. 

WE EVOLVE FAST

We take responsible risks and own and learn from our mistakes. We recognize and repeat success. We actively seek out and provide constructive feedback. We adapt quickly and embrace change. We tackle growth and learning with real urgency. We are endlessly curious.

OpenX is committed to equal employment opportunities.

It is a fundamental principle at OpenX not to discriminate against employees or applicants for employment on any legally-recognized basis including, but not limited to: age, race, creed, color, religion, national origin, sexual orientation, sex, disability, predisposing genetic characteristics, genetic information, military or veteran status, marital status, gender identity/transgender status, pregnancy, childbirth or related medical condition, and other protected characteristic as established by law.

OpenX Applicant Privacy Policy

Applicants can review our Applicant Privacy Policy at any time by visiting the following link: https://www.openx.com/privacy-center/applicant-privacy-policy/.

Effective Date: March 1, 2022

Spotify is looking for a rockstar candidate to join the Marketing and Consumer Insights (MCI) team! 

You will support Spotify’s Marketing organization goal of building a globally loved brand and bringing the next generation of fans to Spotify. The primary duties of this role will be to lead the Marketing Analytics team in providing analytical support for our global Brand Marketing team. This means owning measurement of marketing’s ability to drive brand health and making recommendations to improve the effectiveness of marketing investments. 

You will be a trusted partner to our Brand Marketers, ensure the Marketing Analytics team focuses their efforts on the most impactful initiatives, and manage the technical and professional development of 3 direct reports.

You will also lead analytics engineering projects that help the rest of the MCI team get the data they need to deliver their work

What you'll do

• Partner with Marketing leadership in strategy development, goal setting and budget planning
• Perform analyses on large sets of data to extract actionable insights that will drive decisions around our global marketing investments
• Provide end-to-end campaign support, from goal setting and measurement plan development, to in-campaign performance insights and optimization recommendations, and post-campaign evaluation and recommendations
• Define experimentation roadmap to identify new growth opportunities for our marketing investments
• Communicate data-driven insights and recommendations to non-technical audiences, through clear visualizations and presentations
• Lead a small team of Data Scientists and Analytics Engineers in MCI’s pursuit of becoming a world leading insights team for our marketing partners
• Partner with the other MCI leads and their teams on projects supporting Spotify’s broader marketing organization
• Lead cross-functional groups of insights professionals (think market researchers, analysts, product insights) to triangulate information across various sources

• Intellectually curious, open-minded, and enjoy working in a fast changing environment
• A natural communicator, who focuses just as much on the delivery and the “so what” of your insights, as you do on the technical craft of extracting them
• Effective at building strong, influential relationships with colleagues and partners, with demonstrated success in delivering impactful insights to executives
• 10+ years of experience in an analytics and/or data science role, with 2+ years as a direct people manager 
• Strong analytical skills, including analysis and modeling of big data using SQL, Python and/or R, statistics, A/B testing, and experimental design required
• Experience building data visualizations and dashboards (e.g., Tableau or similar BI solution)
• Comfortable working on a globally distributed team

• This role is located in the New York Tri-state area or east coast of the United States

The United States base range for this position is $134,326 - $191,765 plus equity (plus bonus or commission. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, 23 paid days off, 13 paid flexible holidays, paid sick leave.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

We are looking for a passionate marketing data science leader to join the Creator Marketing team - Spotify’s division dedicated to helping artists thrive by providing the most valuable tools to create music, build an audience, monetize their fans and ultimately live off their work.

Spotify for Artists is used by more than a million artists monthly to get insights, reach new listeners and deepen their connection with their audience. We are looking to invest in Marketing Data Science as part of the Creator Marketing organization and are seeking a strong leader to build out this capability.

We are looking for an experienced marketing data scientist who can generate useful insights and help shape the organization’s strategy by working with the Global Head of Creator Marketing and the leadership team. You will also power some of Spotify’s most impactful creator-facing marketing campaigns: these include global franchises like Spotify Artist Wrapped or Fan Study. Lastly, you’ll be responsible for the measurement of marketing impact, attribution, and incrementally testing while at the same time setting up the data infrastructure to support our long-term marketing vision.

In this role, you’ll report to the Head of Creator Marketing. You will also be a part of a wider community of 40+ data scientists and researchers building creator-facing products. This is a crucial role for our organization. The ideal candidate will have impeccable data skills, the ability to work with both marketing managers and engineers and ideally a passion for music. 

What you'll do:

• Work closely with cross-functional teams of marketing managers, data scientists and the wider R&D organization who are passionate about helping artists thrive
• Deliver data stories to power Spotify for Artists’s most impactful data storytelling campaigns such as Artist Wrapped and Fan Study
• Use data insights to advise Spotify’s global creator marketing strategy in close partnership with the Creator Marketing leadership team
• Develop metrics & marketing attribution models to improve our understanding of the impact and enable us to iterate
• Develop data-driven case studies to showcase the impact of our products and services that can be used across marketing touchpoints to activate customers
• Build out and maintain dashboards to support data-driven decision-making across the wider Creator Marketing organization.

• 8+ years of experience working with data to drive marketing initiatives
• Experience crafting success metrics, running power analyses, determining statistical significance, and presenting actionable insights with clear recommendations or implications. You have experience with marketing attribution models, causal inference, or marketing mix modeling.
• Experience with data modeling & engineering, including creating robust pipelines pulling data from 3rd party and internal APIs and large-scale datasets.
• You have a good understanding of marketing: you are familiar with marketing channels, SEM, social measurement, the difference between paid and unpaid channels etc
• You are capable of solving loosely defined problems and translating complex thinking into practical applications for diverse audiences.
• You’re a compelling storyteller who can communicate in succinct and inspiring ways to audiences with varied data science experience to influence real-world product or feature decisions

• We are a distributed workforce enabling our band members to find a work mode best for them!
• Where in the world? For this role, it can be within the Americas region in which we have a work location
• Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
• Working hours? We operate within the Eastern Standard time zone for collaboration

The United States base range for this position is $134,236-$191,765, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Why be with company?

We all know what a great neighborhood feels like. The sad reality is that every day, our neighborhoods are losing their character, authenticity, and sense of community. From Main Streets to Manhattan, our beloved local businesses are being pushed out at unprecedented rates, replaced with corporate brands or empty storefronts. America is losing its small business backbone—its diversity, energy, and competitive edge.

withco empowers small businesses to become property owners so that they obtain the control, wealth, and permanence only afforded through ownership. We've raised $30M+ from the world's best investors, including Founders Fund, Canaan Partners, Initialized Capital, NFX, and celebrities like Venus Williams and Kevin Durant. Join our mission to make it exciting to be a small business owner in America again!

How you'll help us succeed:

As our first data leader, you’ll lay both the technical and strategic data foundations for the company. You’ll have full stack ownership of our data function, which will include architecting and setting up our core data systems, tools, and processes.

Reporting to our Head of Product, you’ll be a key player and leader for the company. You’ll connect the dots and organize data across the company to drive visibility into performance and strategy across Product, Engineering, Growth, and Investments.

What you'll do:

• Design, build, and maintain mission-critical data and distributed systems that provide real time and reliable data for investors, customers, and internal teams 
• Data Architecture and Engineering: design and build our core data systems from the ground up
• Data Analytics: help the business make data-driven decisions and partner with different departments on how to best leverage our data
• Data Science: more complex modeling work e.g. partnering with our Investments team to build data models using internal and external data sources
• Work cross-functionally with Product, Engineering, Growth, and Investments teams on data needs and making data-related decisions 

• 6+ of years experience in data science, data architecture, data engineering, and/or analytics, ideally at high-growth startups
• Proven experience building out a data function from scratch
• Deep understanding and expertise engineering data-driven systems and relational database schema design
• Real estate experience and/or knowledge a plus
• Experience building AVM models a plus 
• Self-driven with strong critical thinking and problem solving skills 
• Ability to effectively communicate, collaborate, and drive results across functions in a fast-paced environment
• Mission-driven and passionate about creating more small business success stories in America

Salary Transparency:

The estimated base salary range for this position is $180,000-200,000.

It’s important to us that you are an owner. We strive to be highly competitive with our compensation package, which includes base salary, generous early-stage equity, and exceptional benefits. Using industry benchmarking and market best practices, we ensure we are externally competitive and internally fair. The salary range posted may vary based on your knowledge, skills, qualifications, and level of experience as it relates to the job.

Our Values

- Start Small, Dream Big: We invent, build, and execute to meaningfully improve the lives of our small business partners. We constantly improve and drive towards hitting ambitious goals. We operate from a place of humility and upcycle mistakes into feedback and learnings.

- Really Own It: We are relentlessly resourceful, "do what we say we'll do", and care about the details. When we see a problem, we roll up our sleeves because it's our responsibility to take care of it. We focus on outcomes, look for opportunity, and celebrate a growth-mindset.

- Act Fast, Learn Fast: We utilize first principles and diverse perspectives to prioritize the right problems and solutions. We have a bias for action to rapidly and rigorously test hypotheses, show evidence of progress with data, and then double down on what works.

- Hustle to Honesty: We seek to quickly and courageously get to the truth, especially if it's scary or inconvenient. We assume positive intent and are open, honest, and direct about problems.

Are you with company?

We believe in building a company that puts employees first and helps them live and see our mission in action. To further support your growth and wellbeing at withco, we also offer you:

- Competitive equity in an early-stage, high-growth company

- Company paid medical, dental, and vision insurance for employees and their dependents

- Unlimited PTO and Work From Anywhere August

- Paid parental leave

- 401k retirement savings plan

- Commuter and FSA/HSA benefits

- A flexible work-life policy and company lunch once a week (we’re in the office Tuesday to Thursday!)

- A curriculum of retreats, workshops, and dinners to learn from small business entrepreneurs across America who have perfected their crafts over generations

withco is proud to be an equal opportunity employer. We care about building a uniquely diverse, energetic, inclusive, and service-oriented team—one that understands, cares about, and represents the different communities we aim to serve. We especially encourage women, people of color, LGBTQ, and others who are underrepresented in the technology and real estate industries to apply. You’ll be a mission-critical team member. Are you with company?

#LI-

We are looking for an outstanding Data Scientist to join our Business Intelligence team. This role will provide data analysis and reporting support to Spotify’s FP&A organization. This role will report into the Business Intelligence Lead within the Finance Data team, and provide broad exposure to Spotify wide opportunities, challenges and other key decision-making across multiple lines of business.  The Business Intelligence function develops and maintains financial datasets and dashboards, while leveraging skills in working with data programmatically to improve efficiency and accuracy of FP&A outputs.

The ideal candidate should have experience working with big data and BI tools, excellent attention to detail, and be able to prioritize effectively in a fast-paced, high growth environment. There will be heavy emphasis on financial, user, and consumption metrics with automation of analysis and reporting. Accompanying this broad set of responsibilities is exposure to multiple areas of the business, as well as multiple tiers of senior management throughout the company.

At Spotify, we are passionate about what we do and deliver high-impact projects with both quality and pace through tight-knit, cross-functional teamwork. By turning insights into strategies and models into plans, you will craft the process in which leaders and decision-makers across Spotify understand and evaluate our business’s financial health and trajectory.  Above all, your work will impact the way the world experiences music.

What You'll Do

• Serve as the first line of support for FP&A data needs
• Create and maintain tools for analysis and dashboarding
• Manage data pipelines and consult on technical best practices 
• Measure performance of business initiatives using big data tools
• Create and support financial models using programmatic data analysis
• Evaluate BI processes and propose methods for improvement

• 
  
• You have a minimum of 5 years work experience with an emphasis on programmatic data analysis, and visualization/ dashboarding
• You have expert level SQL and intermediate level Python skills
• You have experience using multiple visualization tools (Tableau/ Looker) 
• Preferred, but not required, a strong understanding of financial data (GL, Income Statement)
• You are able to work in a fast paced, highly collaborative, and international environment
• You are a self-starter who is intellectually curious and seeks projects independently
• You are passionate about both technology and music

• This is a New York based role
• Working hours? We operate within the local (EST) timezone for collaboration 

The United States base range for this position is $101,240.00- 144,628.00, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Principal Data Scientist, Search and Personalization - United States (Remote) 

Duration: Permanent

Location: United States (Remote) 

Start: ASAP

Due to the current conditions of COVID-19, this key position will initially work from home, until such a time when we return to our office.

Who You Are:

• We are looking for a Principal Data Scientist to lead the development of our search, personalization, and recommendations. Using your deep machine learning expertise while considering the broader business context, you will lead, and guide our data scientists, and analysts team to develop industry-leading recommendations in visual search. This position will have a direct impact on the search and browse paths for millions of customers and drive key conversion metrics!

• Build industry-leading algorithms using our images, metadata, and/or customer interactions to significantly improve our customers’ image/video search and discovery experiences
• Lead, guide, and mentor data scientists and data analysts in formulating, and implementing our strategy
• Develop our technical ranking roadmap alongside product, team members, and leadership. Distilling customer requirements into problem definitions and identifying measures of success
• Develop and implement online and offline testing and validation methodologies
• Partner with data engineers, machine learning engineers, and search engineers to implement and deploy new ranking algorithms in the production process

• Proven expertise building and validating search, personalization, recommendation, and/or newsfeed algorithms for customer-facing products
• A minimum of 5 years validated experience
• Proven expertise as a technical lead providing mentorship and guidance to team members.
• A strong understanding of the real-world advantages and drawbacks of various algorithms and the ability to measure success
• Ability to handle ambiguity, priorities, and competing objectives. Experience solving highly technical problems
• Hands-on experience with accessing data, Python, machine learning libraries, and deep learning libraries (ex: scikit-learn, numpy, pandas, scipy, TensorFlow, SQL, hive, spark, etc.)
• Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models
• An ability to consider biases that exist in the data and develop solutions to mitigate biases appropriately
• Outstanding interpersonal skills. Ability to communicate at all levels, including explaining sophisticated technical solutions to non-experts
• Open listener, ability to be open to many diverse voices and perspectives
• You are clear, credible, and forward-thinking!
• A Ph.D. or MS in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any equivalent field is helpful

• A quiet location with reliable high-speed internet connectivity, environment suitable for professional work (desk, chair, external monitor, etc.)
• Frequent communication with others to exchange information
• Frequent sedentary work that primarily involves sitting/standing; Time of each will vary
• Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc
• Constant assessment of accuracy and thoroughness of the work assignment

Benefits at Getty Images

Health Insurance

We provide Medical, Vision, and Dental insurance for you and your family. We partner with Meritain (An Aetna Company), and CVS Caremark to provide you with two options for medical coverage - a POS plan and an HSA-qualified (Health Savings Account) Plan. The POS plan comes with a $200 per year Getty Images contribution to an FSA account. If you enroll in the HSA plan, Getty Images will give you $1400-$2400 per year to spend on any qualified health expenses. Dental insurance is available through Delta Dental. Vision Insurance is available through VSP. All full-time employees working at least 25 hours per week will become eligible for health benefits the 1st of the month following their date of hire. Contributions to health care accounts are prorated based on the date of hire.  For more information on these benefits, you may request an electronic copy of our Benefits Guide.

Time off Work/life balance is important to us

We provide flexible time off and 10 sick days each calendar year. Additionally, we pay 4 weeks of fully-paid Parental Leave for new parents, with primary caregivers eligible for an additional 8 weeks of fully-paid leave.  

Company Paid Holidays

Employees enjoy company-paid holidays for each of our global locations.

Disability and Life Insurance

We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance. 

Employee Assistance Program

Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.  

401(k)

Start saving for retirement! Getty Images matches up to 4% of your deferred compensation, with immediate vesting – that means all of Getty Images employer match money is automatically yours – with no waiting period! 

Learning & growth

We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more.

__________________________

Covid-19 Company Statement:

Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing may be mandated by the relevant local laws with which Getty Images will comply. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).  

US Specific:

Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing has been mandated by the Biden administration and that mandate applies to our US workforce. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).

Who We Are:

Getty Images is a preeminent global visual content creator and marketplace. Through Getty Images, iStock, and Unsplash, we offer a full range of content solutions to meet the needs of any customer—no matter their size—around the globe.

Getty Images encompasses the largest and best path to market for visual creators through their premier brands including its core, Getty Images; iStock, a value offering of creative stills and videos providing a significant volume of exclusive content to small and medium-sized businesses; and Unsplash, a free offering of creative stills servicing the fast-growing and broad-based creator economy. 

Help us move the world with images! Bringing award-winning imagery to everyone, Getty Images has customers in almost every country in the world, with websites in 23 languages, bringing the world’s best content to media outlets, advertising agencies and corporations, small businesses and increasingly, direct to consumers.

Getty Images works with over 516,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport, and entertainment events around the globe. With over 520 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.

Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allow our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation.

Leadership Principles

As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally.

We are trustworthy, transparent, and honest

We love character, authenticity, and integrity.

We always raise the bar

Excellence is our norm; we get better through endeavor, curiosity, and speed.

We collectively bring solutions

We love debate but collaborating to solve problems for ourselves and our customers is everyone’s responsibility.

We care, are kind, courteous, and respectful

We will not tolerate rudeness.

We reject biased behavior and discrimination

We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible.

We are inclusive of different voices, perspectives, and experiences

Diversity and inclusion are never done, but we are passionate in their pursuit.

We are one Getty Images with no silos

We share goals and accountability; we and actively seek information and expertise; we make time for our peers.

We deliver on our commitments, and commercial goals

With one voice and shared accountability.

We put the customer at the heart of everything we do

We listen to, anticipate, and exceed customer needs, adapting as they evolve.

We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people, and people with disabilities are encouraged to apply. 

Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or submitting an online application, please email RecruitingAccommodations@gettyimages.com.

Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique ​​role of still and moving imagery in communication and business, and enabling creative ideas to come to life. 

For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.

Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery. 

Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment that celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs. 

Swayable is a fast-growing cloud analytics product that measures public opinion and the impact of messages and advertising content on it. Its 35-person team is backed by top technology and social impact investors, including Y Combinator. Founded in 2018 by two physics PhDs, it is led by the former Executive Director for Digital Strategy at the New York Times. Clients include major consumer-facing brands (Square, Paramount Pictures, Amazon), researchers (MIT, Yale, Stanford), and mission-aligned advocacy campaigns (including multiple Democratic Presidential candidates and winning Midterm campaigns).

Joining Swayable means being on a team whose work changes the course of history. The technology we develop is at the leading edge of transforming some of the world’s most important campaign organizations and enterprises: combatting disinformation, protecting democracy, and supporting the sustainable growth of consumer-facing brands.

This is a uniquely exciting opportunity to tackle critical unsolved problems in public opinion research and causal modeling. As a Research Data Scientist (reporting to the Director of Data Science), you’ll have the infrastructure and talent around you to turn results into new discoveries, prototypes and features that deliver insights to the world's most important organizations. 

Responsibilities (what you will be doing)

• Conduct data science research to push our experimental methodologies to the bleeding edge of social science
• Develop robust tools to uncover insights in experimental data 
• Prototype data science improvements to core platform features
• Communicate the results of data science investigations to both internal and external stakeholders

• PhD in data science, computer science, statistics, or natural science
• Demonstrated ability to communicate clearly and draw implications from data
• Fluency in the python data science stack
• Expertise in statistical, analytical, and data science methods
• Excellent communication and data visualization skills
• Ability to work independently, prioritizing multiple important tasks/deadlines
• A keen eye for the 20% of effort that delivers 80% of the results
• Being a flexible team player whose values align with ours

• Experience writing and reviewing production-quality python code
• Experience working in a fast-moving startup environment
• Experience interacting with MongoDB databases
• Some industry/startup experience preferred

Our team is centered in NYC and SF, with flexible work arrangements for remote work.

We offer a benefits package that is well above-market. Swayable covers 100% of the health, dental, and vision insurance premiums for full-time employees. We also offer generous PTO, parental leave, equity, 401k, FSA, and an ongoing professional development stipend.

We are an equal opportunity employer. We strive to promote an organizational environment that values diversity and fosters growth. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other basis prohibited by law. The team especially encourages applicants from underrepresented backgrounds.

Company at a Glance

OpenX is focused on unleashing the full economic potential of digital media companies. We do this by making digital advertising markets and technologies that are designed to deliver optimal value to publishers and advertisers on every ad served across all screens.

At OpenX, we have built a team that is uniquely experienced in designing and operating high-scale ad marketplaces, and we are constantly on the lookout for thoughtful, creative executors who are as fascinated as we are about finding new ways to apply a blend of market design, technical innovation, operational excellence, and empathetic partner service to the frontiers of digital advertising.

OpenX Technologies, Inc. is looking for a Data Scientist or Machine Learning Engineer to join our team in the Data Science Org.

Our exchange processes hundreds of billions of ad requests daily, resulting in petabytes of new data daily. This data volume demands cutting-edge applications of sophisticated models, deep learning, and novel platforms to function efficiently and provide the best value for our customers. We’re looking for data scientists who are experienced with systems that blend deep learning, optimization, and statistical insights to achieve the best possible business outcomes and provide nuanced control over complex processes. The ideal candidate has a creative mind which they put to use by constructing models tailored for prediction with high dimensionality data sets — we are looking for those who can translate requests from business and product into Data Science / ML problems. They should also be capable of leading and executing on those projects with state-of-the-art advances from the literature while incorporating them into production systems.

The role, while remote, is schedule-centered in the US Eastern timezone.

If you’re:

Proactive - always seeking a satisfying solution to unexplored questions

Persistent - exhibit the skills and attitude to lead a project to success as well as how to extract yourself from common pitfalls

Creative - researching and developing a solution to challenging problems with large datasets

We want to talk to you.

Key Responsibilities

• Extract data from terabyte-scale datasets and transform it to compact representations which are amenable to use by a wide variety of models
• Developing and managing ML pipelines to predict and model key components and phenomena in our ad exchange, leveraging these to answer questions and improve performance
• Tune existing models and their products to enhance functionality and drive new developmental features
• Guiding and developing DS / ML projects from inception to production-level deployment while reporting to stakeholders on progress and challenges
• Coordinate with other members of the team to deploy, manage, and synchronize the function of all ML models in production and development

• Ph.D. in Computer Science, Physics, Mathematics, Operations Research or related technical field with 4+ years of relevant experience, or MS with 7+ years of relevant experience
• Fluency in SQL and programming experience in Python
• Extensive experience with deep learning and other ML techniques beyond common regression, particularly in the context of tensorflow and its related applications / environment
• Strong track record of nurturing DS / ML projects to maturity with maximal business impact as well as supporting and improving those projects beyond deployment
• Mastery of probability and statistics, especially techniques that scale to massive datasets
• Strong communication and presentation skills — proficient in analysis and summarization of the key points of a data set or experiment result

• Experience working with a cloud platform like GCP / AWS / Azure, with emphasis on GCP and the Tensorflow / TFX platform
• Familiarity with other programming languages such as Java and golang
• Experience providing mentorship and guidance to more junior employees

OpenX VALUES

Our five company values form a solid bedrock serving to define us as a group and guide the company. Our values remind us that how we do things often matters as much as what we do.

WE ARE ONE

We are one team. There are no exceptions. We are a group of strong and diverse individuals unified by a shared mission. We embrace challenges and win together as a team. We respect and care about our colleagues and cultivate an inclusive culture

WE ARE CUSTOMER CENTRIC

We innovate on behalf of our customers. We understand, respect, and listen carefully to our customers. We build great products to solve our customers’ problems. We manage our customers’ expectations clearly and honestly. We are a trusted partner to all of our customers - we act with integrity at all times. We care.

OPENX IS OURS

We innovate on behalf of our customers. We understand, respect, and listen carefully to our customers. We build great products to solve our customers’ problems. We manage our customers’ expectations clearly and honestly. We are a trusted partner to all of our customers - we act with integrity at all times. We care.

WE ARE AN OPEN BOOK

We understand and respect what each of us does. We are eager to teach and share what we know with others, both internally and externally. We are eager to learn from others and we ask questions internally and externally. 

WE EVOLVE FAST

We take responsible risks and own and learn from our mistakes. We recognize and repeat success. We actively seek out and provide constructive feedback. We adapt quickly and embrace change. We tackle growth and learning with real urgency. We are endlessly curious.

OpenX is committed to equal employment opportunities.

It is a fundamental principle at OpenX not to discriminate against employees or applicants for employment on any legally-recognized basis including, but not limited to: age, race, creed, color, religion, national origin, sexual orientation, sex, disability, predisposing genetic characteristics, genetic information, military or veteran status, marital status, gender identity/transgender status, pregnancy, childbirth or related medical condition, and other protected characteristic as established by law.

OpenX Applicant Privacy Policy

Applicants can review our Applicant Privacy Policy at any time by visiting the following link: https://www.openx.com/privacy-center/applicant-privacy-policy/.

Effective Date: March 1, 2022

Are you a Data Scientist that is interested in working with one of world's leading Quantitative Hedge Funds? Are you a Data Scientist that would enjoy working with a cutting-edge financial and engineering teams and to expand their data science and machine learning capabilities?

This New York City based leading Quantitative Hedge Fund seeks a talented Data Scientist that will work closely with the finance, operations, as well as other investment teams across the firm.

As the Data Scientist, you will:

• Manage large amounts of complex data in R or Python and running quantitative queries.

• Identify timely and unique data sets, diving deep into a diverse set of data domains as well as visualizing and exploring underlying data drivers

• Build statistical analysis and financial modeling techniques to large data sets.

What you need:

• Master's or PhD degree from a competitive university in a quantitative field such as statistics, mathematics, operational research, computer science, finance or economics.
• Quantitative and Developer experience (Python and/or object oriented programming)
• Prior experience working or Internship at a Financial firm or leading technology (Google, Facebook, Amazon, etc...) firm is helpful
• Proficiency with statistical and data analysis and programming tools such as R, SAS, Stata, SQL or Matlab.

What you get:

• Work with one of the leading Quantitative Hedge Funds

• Work in not your typical hedge fund. Very collaborative and casual work environment as compared to most Wall St. Firms

• Incredible work perks (too many to name!)

At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future. 

Nielsen Global Media collects billions of data points on what consumers watch and buy. We study consumers in more than 100 countries, and help our clients globally identify unmet needs, develop new products and deliver them in an engaging way.  We are constantly evolving, not only in terms of where we measure, or who we measure, but in how our insights can help drive profitable growth.

DESCRIPTION

Member of the research and Development (R&D) team that uses advanced coding, modeling and analytics to develop future solutions and scale existing product offerings around media campaign outcomes. Contribute to the standardization and scalability of existing client solutions in the area of media, while taking accountability for key decisions. Processing (client) data, and applying advanced analytical solutions. Communicate and collaborate effectively with others to discuss complex data-driven and code-related matters. Develop new solutions for existing or future media clients. Use and fit different mathematical and econometric models for explanatory purposes that deliver better decisions, and create high-quality data visualizations for internal and external purposes. Analysis and evaluation of large and complex sets of consumer data (using data from millions of households). Perform research and development based on multiple studies and analyze data on customer demographics, preferences. Tools Python and packages for data analysis (NumPy/ SciPy/ scikit-learn/ pandas / matplotlib, AWS, Docker, Airflow, Git.

QUALIFICATIONS

Minimum Requirements:Master’s Degree in mathematics, marketing, or a data-driven science related field with at least 3 years of experience in market research and data analysis (Would also accept Bachelor’s degree plus 5 years of experience). Must include: Three (3) years of experience with: Statistical analysis; Survey writing; Experimental design; Media data, survey data, and survey research methodologies; Adapting analytical methodologies to cover new data sets and new use cases. Two (2) years of experience with: Data analysis, using python packages such as NumPy, SciPy, scikit-learn, pandas, matplotlib; Python programming; Version control tools such as git. Salary:  $153,525. M-F, 40 hours/week.

About Nielsen:

Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.

#LI-DNI

#IND-DNS

As the arbiter of truth, Nielsen Global Media fuels the media industry with unbiased, reliable data about what people watch and listen to. To discover what’s true, we measure across all channels and platforms⁠—from podcasts to streaming TV to social media. And when companies and advertisers are armed with the truth, they have a deeper understanding of their audiences and can accelerate growth. 

Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!

Kafene is a fast-growing cutting-edge fintech firm dedicated to empowering flexible ownership solutions for underserved customers nationwide. We differentiate ourselves from the pack with our incredible loss improvement and healthy growth while a significant loss increase was observed in the industry.  Kafene has made it on the Built In "22 Start Ups to Watch in 2022" list. Kafene was also chosen as Lendit Industry award finalist and is included in Forbes' "Best Startup Employers" of 2023.

Kafene believes in empowering people and offering opportunities for development, as well as professional growth. We value strong, positive relationships in all areas: with each other and our customers. Want to be a part of a team of diverse collaborators in an authentically fun culture? If so, we want to talk to you - and hear what you can bring to our growing company and team!  

The ideal candidate for this role is a data scientist to design and deploy projects in direct support of our Risk and Sales organizations. This is a fantastic opportunity for someone quantitative to make a transition from trading, hedge funds, investment banking, or engineering into fintech and specifically, consumer credit. The role is to drive top level revenue performance from our lease and loan assets by designing the optimal mix of pricing, approval rates/amounts, asset selection, and geographical targeting. Key responsibilities include, but are not limited to:

What You will Do

· Develop and implement quantitative analyses and frameworks, deep dive customer insights, predictive models to enable performance measurement, decision-making and identify business actions and customer outcomes.

· Partner with C-suite, corporate strategy, finance, marketing, merchandising, research, product, data science and analytics organizations to drive outcomes.

· Measure business performance by conducting analytical research, interpreting results of experiments, and building dashboards.

· Lead the application and validation of statistical and other mathematical methods to collect, organize, interpret, and summarize economic data to assist in decision-making and support the development of business strategy.

Requirements

· 4-7+ years of experience working as an analyst in Corporate Strategy, Risk Analysis in the Investment Banking, Management Consulting, and/or Venture Capital/Private Equity.

· Bachelor's degree in a quantitative field (e.g., Statistics, Math, Finance, Engineering, Sciences.)

· Superior quantitative analysis skills, creativity in problem-solving, and a keen business sense.

· Established history with leading analysis-driven projects across definition, execution and presentation, driving and influencing strategy, product and marketing roadmaps.

· Excellent interpersonal, written, and oral communication skills.

· Experience with R, Python, Tableau, Looker, and Google Analytics (or similar analytical packages) is a plus.

· Demonstrated ability to collect and organize data and work effectively with complex relational databases (Snowflake, Hadoop)

·  Analytical mindset – ability to perform root cause analysis, recognize patterns, and observe details.

Kafene is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. If you are applying for a job in the U.S. and need a reasonable accommodation for any part of the employment process, please send an e-mail to jobs@kafene.com and let us know the nature of your request and contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address.

The Role

The Machine Learning Engineer will work closely with the CTO to build the core data platform at the heart of the company’s drug discovery engine. You will analyze massive multimodal datasets to drive new biological insights on disease mechanisms and discover small molecules to create a new category of therapies. You will build proprietary databases by integrating complex and multimodal large datasets and apply data mining and machine learning techniques to drive insights and discover new therapies. You will work with clinical team members to design bioinformatics and data processing strategies for clinical trials and develop an automated bioinformatics infrastructure to store and manage data from thousands of samples.

Who We’re Looking For

• You have a Masters or PhD in Data Science, Machine Learning, Applied Statistics, Bioinformatics, Computational Biology, Computer Science, Physics or closely related disciplines.
• You have over three years of practical experience in data science, machine learning, or software development, and are skilled in Python, its data science ecosystem, and SQL. You also have experience with version control systems like Git.
• You are experienced in both emerging and foundational machine learning methods, including supervised and unsupervised methods for regression, classification, and dimensionality reduction, as well as deep learning methods such as CNNs, RNNs, GCN, and transformers, and related techniques like generative AI and reinforcement learning.
• You have strong understanding of different types of data (image data, text data, numerical data, etc.) and the appropriate machine learning models for each type and have experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• You possess a strong sense of statistical intuition and are comfortable creating and testing hypotheses with data. You can identify weak spots in analysis and propose improvements.
• You have experience working and scaling a cloud computing environment and are familiar with cloud environments such as AWS and containerization technologies (e.g., Docker).
• You take pride in delivering high-quality code that is clean, efficient, and maintainable, and you have a keen eye for appropriate design patterns and software architectures.
• You exhibit a proactive approach to problem-solving, thinking beyond the specific task at hand, taking ownership of challenges and pride in solving them.
• You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity. At the same time, you can make decisions in the face of uncertainty.
• You are a clear and concise communicator, conveying information effectively in written and verbal communication. You enjoy collaborating with and guiding colleagues in a multidisciplinary team.
• You are motivated by making a real impact, and are committed to tackling problems of significant consequence with determination and creativity.

• You have previous experience in the application of machine learning to drug discovery.

Why Join Output Biosciences

By joining Output Biosciences, you’ll help shape the creation of a new category — preventative therapeutics — that will fundamentally change the way people live. You’ll be part of the early team pioneering a new era of drug development with unprecedented safety and speed to market. If you’re impatient to see how your work improves people’s lives and impacts the treatment and prevention of chronic disease, this is the place for you.

Our Values

❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions.

🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards.

🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of our patients and the broader community.

📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner.

🎮 Fun: We believe that life is too short to not have fun. That's why we're committed to creating an engaging and enjoyable work environment. Our goal is to create a workplace that is fun, rewarding and fulfilling.

What We Offer

- We encourage new and different ideas, creativity and contrarian thinking. We are looking forward to further shaping our culture with early team members. You'll have a chance to make your mark!

- You own your day-to-day management. We don't care when or where you work, we care if we all hit our milestones.

- Competitive salary and equity in a growing, well-funded startup

- Excellent medical, dental, and vision coverage

- Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you

Why you should join Output Biosciences

Output Biosciences is creating a new category of therapies that extend human healthspan by combating chronic diseases. We are pioneering a new era of therapeutics development with unprecedented safety and speed to market.

The company was founded by Mirella Mashiach, a former executive in big pharma who invested in and partnered with early-stage biotech startups, and Adi Mashiach, MD, a physician, computational biologist, and repeat founder with one successful acquisition and one NASDAQ IPO. We are proud to have the backing of world-class investors, including Y Combinator, First Round Capital, and Lerer Hippeau.

We are expanding our core team and seeking talented individuals who share our passion and commitment to making a tangible impact on people's lives.