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Join our team at ASAPP, where we're developing transformative Vertical AI designed to improve customer experience. Recognized by Forbes AI 50, ASAPP designs generative AI solutions that transform the customer engagement practices of Fortune 500 companies. With our automation and simplified work processes, we empower people to reach their full potential and create exceptional experiences for everyone involved. Work with our team of talented researchers, engineers, scientists, and specialists to help solve some of the biggest and most complex problems the world is facing.

As a full-time Security Engineer, you will partner with our Product Engineering, Platform and SRE teams to help us develop secure, scalable, and robust services. You will use your strong skills on both, security and software development to contribute to the implementation and development of existing ASAPP application security capabilities. You should be familiar with secure coding methodologies, code vulnerability detection systems, and live web application protection systems. Last, but not least, you should want to teach (and learn) from everyone on our team! 

This individual will be joining a mature and established Security Engineering team. You will be improving our existing code security pipeline, partnering with cross functional Engineering and Infrastructure teams, and working across ASAPP’s people and technology footprints to design, build, and run secure systems.

What you'll do

• Advocate developer-centric security best practices throughout ASAPP
• Perform technical security assessments, code audits, and design reviews
• Develop and document technical solutions to help mitigate security vulnerabilities
• Conduct research to identify new attack vectors against ASAPP products and services
• Participate in related penetration testing, red teaming, and other offensive security exercises

• Experience contributing with Go/Javascript/Python/Mobile applications in production environments for an industry setting
• Extensive experience identifying potential cybersecurity attack and mitigations across common web and mobile application attack vectors (OWASP Top 10, Mobile Top 10)
• Deep understanding of web and mobile application technologies
• Experience building and running applications in Docker, Kubernetes, and AWS
• Strong interpersonal and communication skills

• B.S. in Computer Science or related field, or equivalent experience
• Involvement in the Security community and industry participation is a plus
• Experience in product-oriented environments
• Experience and familiarity with machine learning development, both from the perspective of an engineer and as an attacker/defender
• Previous experience doing security on agile/fast startup environments 
• Experience with cloud native architecture

ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at careers@asapp.com to obtain assistance. #LI-AG1 #LI-Hybrid

We are looking for a research engineer to research, test, and deploy new trading strategies, as well as to design and build research infrastructure to test trading ideas.

Candidates focusing on strategy development should be strong quantitative problem solvers interested in identifying and monetizing statistical patterns in the financial markets and also adept at implementing their ideas in Python. We are looking for someone who is both intellectually curious and also self-sufficient to help maintain and develop various trading strategies.

Candidates with software implementation skills and comfort in implementing both performant code and designing user-friendly tools will also be strongly considered. We are looking for someone who is effective at building usable software quickly and correctly to extend the scope of our quantitative research and coverage of our trading strategies.

Compensation consists of base salary, discretionary performance bonus, and possible participation in longer-term incentive schemes.

Duties

• Writing Python code to express statistical ideas and relationships between securities
• Coming up with and iterating upon novel ideas and hypotheses about market participants and dynamics
• Collaborating with teammates on new trading ideas
• Extending existing research tools to support novel use cases and needs, as well as designing and implementing new tools to support research and trading needs

• Bachelor’s in computer science, mathematics, physics, or similar field, with strong familiarity with statistics and quantitative problem-solving
• Self-sufficient ability to implement statistical ideas in code
• Strong familiarity with Python and C++ (or equivalent) preferred
• Interest in financial markets or learning more about financial markets
• Previous experience in quantitative finance or trading is a plus, but is not required

• Catered meals and bountiful snacks
• Generous budget for home office equipment
• Health / Dental / Vision / 401k
• Fitness and wellness benefits
• Base compensation: $150,000-200,000 with additional discretionary annual performance bonus

Over the last few decades, technological innovation has relied on democratizing some of its key ingredients: knowledge (open publishing platforms), algorithms (code repositories) and computing (cloud providers). However, the last key component, data, largely remains trapped behind barriers of regulation, privacy, schema standards and competitive risk. Enabling scalable access to data will unlock enormous value for both individual developers and companies. This has only been made possible in the last few years, through advances in manifold learning algorithms and privacy-preserving computing. See our blog for more details.

One of the most valuable kinds of data today is in the financial sector. Financial data plays a key role across many industry verticals. However, it has notoriously been locked behind regulatory barriers and a lack of format standards. Our end product is an API that makes financial transactions accessible to both humans and machine-learning models, in a scalable and privacy-preserving way.

We

- come from various fields - engineering, mathematics, physics and arts.

 - are allergic to over-engineering.

 - are anarchists at heart and like to hack around the status quo.

- love playing board and video games.

 - are radically honest and appreciate challenging one another, rather than giving out “pats on the back”. Yet, we can always rely on each other for support, feedback and results. 

 - are willing to learn and adapt quickly to new situations and requirements. Languages, frameworks, libraries, compilers, etc. are just tools for a job. A new problem might need a new tool. If it doesn’t exist yet, we will build it.

 - have a sense of humor (well, we think we do).

As an early member of our ML engineering team, you will help

 - push the limits of cutting-edge computing and machine learning

 - build the team and drive the direction of the company.

 - shape our product and culture.

 - experience the direct impact of what you build on hundreds of millions of people’s financial lives.

The following is a big plus

 - fluency in Python, Rust and PyTorch

 - experience with training and deploying models in multi-GPU environments

 - recognized open-source contributions

 - participation in competitive programming events (CTFs, Putnam, IOI, IMO, IPHO, Topcoder, Kaggle, etc.)

FAQ

Where is Ntropy located?

We are fully remote, with a virtual base in New York, US.

What time-zones do you work with?

We hire anywhere in GMT-7 to GMT+1.

Do you consider part-time work?

Not at the moment. Full-time roles only.

How are you funded?

We are backed by some of the top fintech investors in the world. Have raised single-digit millions of dollars so far. Can share more details over the call.

Do you already have a product and customers?

Yes. We have been in production since 1st April 2021 and have been rapidly growing since.

Do you plan to sell customer data?

Ntropy is on a mission to enable products without data barriers. We will never sell customer data and will always put privacy and customer benefit ahead of any auxiliary financial gains.

What is the interview process like?

1. Send us problems you have solved before and how. Please include as much detail as possible: code, algorithms, derivations, proofs, etc. We will then do a video call to kick things off and go through it (45 mins).

2. We will give you a take-home project related to whatever we are currently working on (3-4 hours). Alternatively, if you have a relevant project that you worked on previously that demonstrates your skills as an engineer, you are welcome to use that instead.

3. We will then do a deep-dive through the project over a call and discuss the implementation, improvements and bottlenecks.

Above all, we respect your time and commitment and will keep you up to speed on where we are at during the whole process.

What are your hiring plans?

We aim to be 40-50 people by the end of the year. Mostly engineering roles.

What is your current stack?

back-end - Python + Rust (where performance matters)

compute - AWS, GCP

ML - PyTorch, ONNX, Triton

Work / life balance?

We are a startup which requires you to put in a lot more work and soul than a regular job. We believe, however, that nothing easy is worth doing. We will expect a lot from you, and you should expect a lot from us.

What is the compensation?

$130k (adjusted for location) • 0.09%

About Kontakt.io 

Kontakt.io is the industry leader in indoor environmental, location and occupancy services using Bluetooth Low Energy (BLE ®). Our mission is to deliver human-building interfaces that provide people with delightful, useful, and safe indoor experiences to help make buildings work for people. We are out to define a new building DNA that is human-centric. We build technologies that help transform buildings into indoor spaces that are useful for people in their daily journey to accomplish their goals, working or being cared for in a safe & sustainable indoor environment.

We started in 2013 when Kontakt.io built the first enterprise-graded BLE beacon solution for building-mobile interfaces. Since then, we have provided BLE solutions to over 30,000 end users, delivered via +1,100 partners using +3 million IoT devices in the field. Today our solutions cover approximately one billion sq ft. We continue to be a pioneer in the field, with a focus on Smart Buildings in Healthcare and Corporate Real Estate Spaces.

In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities, in Kontakt.io we are building the AI Team to accelerate our initiatives by providing a novel system to estimate individual proximity via a joint model of BLE signals with other on-device sensors.

We are looking for a Data Scientist to turn complex data sets into useful information and solve global challenges.

We are looking for someone who works best in a fast-paced environment, desires growth, take risks on bold ideas, and is open to learning from other world-class engineers. We are looking for someone who is continuously looking forward to using their knowledge to solve complex business problems, has an unstoppable thirst for knowledge, and is comfortable with ongoing skills development, whether it comes to learning completely new technology or mastering relevant ML algorithms.

Your daily work will include:

• Modeling RSSI-BLE Signals for digital asset tracking and contact tracing
• Interpreting the sensor data stream (time series, histogram, etc.) and using several statistical and deep learning methods to learn representations for sensing proximity
• Analyzing the differential impact of the various input signals
• Experimenting with level metadata (such as device models, power, signal strength, etc.)
• Using machine learning and cloud technologies to enable data science capabilities at scale
• Working closely with product leadership and subject matter experts to identify and develop analytics solutions, enhance product offerings and solve business problems.

• University degree in Computer Science, Mathematics, Statistics, Informatics, Artificial Intelligence, Physics or a similar field
• Proven experience in applying data-driven approaches to various business scenarios, including creating and using advanced analytics / Machine Learning algorithms
• Experience in coding in Python
• Understanding various Data Science and Machine Learning concepts and algorithms such as clustering, regression, classification, forecasting, neural networks, hyperparameters optimisation etc.
• Modelling stochastic real-time data series
• Outlier and anomaly detection
• Data-driven storytelling and visualisation skills (with tools like Apache Superset, Tableau, QuickSight, etc.)
• Customer and result-oriented personality, convincing with creative approaches
• Start-up mindset
• Ability to work autonomously to deliver complex projects

Kontakt.io Virtues and Culture

Lead customer-centric - customer leadership is the key. If a customer has a problem we don’t wait. We understand what customer needs and we tailor our services, products around the customer. It doesn’t mean that we let the customer lead us. It means that we think about the customer first

Have a growth mindset - we commit to results and growth. We are responsible for results, not for the activity or time spent. If we believe we can’t achieve a result or a job, it’s our duty to raise the voice, push back, explain what we suggest instead. We don’t see results as something static - ever. This means that our results and expectations are becoming more ambitious, quarter over quarter. We constantly evolve

Challenge, inspire, respect - we are the challenger in the marketplace. When working with each other - or with customers - we enjoy and desire to challenge each other. We listen, reflect, and respond. We aim to understand the point of view of the other party and if there is customer merit in the argument. When we challenge, we articulate our hypothesis clearly and provide data and evidence in our argumentation. We respect the time of our colleagues. We have a zero-tolerance towards discrimination of any kind. We respect the environment

Execute systematically - We recognize that the start-up journey will only be successful if we learn twice as much as others in half the time. For us, innovation also means continuous improvement in all fields. We think in systems when driving results, growth, and learnings

Act with urgency - We have a sense of urgency in everything we do - at all times. It’s deeply rooted in the belief that as an up-start, as a challenger, we need to drive value for our customers faster and better than anybody else in the marketplace. We do things outside of the personal comfort zone.

Over the last few decades, technological innovation has relied on democratizing some of its key ingredients: knowledge (open publishing platforms), algorithms (code repositories) and computing (cloud providers). However, the last key component, data, largely remains trapped behind barriers of regulation, privacy, schema standards and competitive risk. Enabling scalable access to data will unlock enormous value for both individual developers and companies. This has only been made possible in the last few years, through advances in manifold learning algorithms and privacy-preserving computing. See our blog for more details.

One of the most valuable kinds of data today is in the financial sector. Financial data plays a key role across many industry verticals. However, it has notoriously been locked behind regulatory barriers and a lack of format standards. Our end product is an API that makes financial transactions accessible to both humans and machine-learning models, in a scalable and privacy-preserving way.

We

- come from various fields - engineering, mathematics, physics and arts.

 - are allergic to over-engineering.

 - are anarchists at heart and like to hack around the status quo.

- love playing board and video games.

 - are radically honest and appreciate challenging one another, rather than giving out “pats on the back”. Yet, we can always rely on each other for support, feedback and results. 

 - are willing to learn and adapt quickly to new situations and requirements. Languages, frameworks, libraries, compilers, etc. are just tools for a job. A new problem might need a new tool. If it doesn’t exist yet, we will build it.

 - have a sense of humor (well, we think we do).

As an early member of our data science team, you will help

 - push the limits of what can be done with data.

 - build the team and drive the direction of the company.

 - shape our product and culture.

 - experience the direct impact of what you build on hundreds of millions of people’s financial lives.

The following are required

 - the tools: Python, Pandas / Polars, Matplotlib, sklearn, etc.

- SQL and fundamental database operations.

 - recognized open-source contributions and/or top performance in data competitions (Kaggle, Numerai, etc.).

- fluency in statistics and probability.

FAQ

Where is Ntropy located?

We are fully remote, with a virtual base in New York, US.

What time-zones do you work with?

We hire anywhere in GMT-7 to GMT+1.

Do you consider part-time work?

Not at the moment. Full-time roles only.

How are you funded?

We are backed by some of the top fintech investors in the world. Have raised single-digit millions of dollars so far. Can share more details over the call.

Do you already have a product and customers?

Yes. We have been in production since 1st April 2021 and have been rapidly growing since.

Do you plan to sell customer data?

Ntropy is on a mission to enable products without data barriers. We will never sell customer data and will always put privacy and customer benefit ahead of any auxiliary financial gains.

What is the interview process like?

1. Send us problems you have solved before and how. Please include as much detail as possible: code, algorithms, derivations, proofs, etc. We will then do a video call to kick things off and go through it (45 mins).

2. We will give you a take-home project related to whatever we are currently working on (3-4 hours). Alternatively, if you have a relevant project that you worked on previously that demonstrates your skills as an engineer, you are welcome to use that instead.

3. We will then do a deep-dive through the project over a call and discuss the implementation, improvements and bottlenecks.

Above all, we respect your time and commitment and will keep you up to speed on where we are at during the whole process.

What are your hiring plans?

We aim to be 30-40 people by the end of the year. Mostly engineering roles.

What is your current stack?

back-end - Python + Rust (where performance matters)

compute - AWS, GCP

ML - PyTorch, ONNX, Triton

Work / life balance?

We are a startup which requires you to put in a lot more work and soul than a regular job. We believe, however, that nothing easy is worth doing. We will expect a lot from you, and you should expect a lot from us.

What is the compensation?

$130k (adjusted for location) • 0.09%

A market leader in credit intelligence, Reorg brings together journalists, financial analysts, legal analysts, technologists, and data scientists to collect and synthesize highly complex information into actionable intelligence. Since 2013, tens of thousands of professionals across hedge funds, investment banks, management consulting, and law firm verticals have come to rely on Reorg to make better, faster, and more confident decisions in pace with the fast-moving credit markets. For more information, visit: www.reorg.com

Working at Reorg

Consistent with our growth, Reorg hires innovators and trailblazers across the globe to drive our business and our incredible corporate culture alike. Our core values – Action Oriented, Customer First Mindset, Effective Team Players, and Driven to Excel – define an organizational ethos that’s as high-performing as it is human. Among other perks, Reorg employees enjoy competitive health benefits, matched 401k and pension plans, Paid time off, generous parental leave, gym subsidies, educational reimbursements for career development, recognition programs, pet-friendly offices, and much more. 

The Role

As a Senior Data Scientist at Reorg, you will be working on complex problems at the intersection of two dynamic industries - finance and technology. You will work closely with data scientists and data engineers and collaborate with product developers and software developers within the organization to contribute to Reorg's advanced data and product development efforts. You will experience great hands-on learning in a dynamic, fast-paced, and collaborative environment with plenty of opportunities to grow and accelerate your career. You will play a key role in strengthening the technical and scientific foundations of our cutting-edge financial intelligence platform. 

Responsibilities

• Propose, implement, and execute on given frameworks to build data science models to improve current business and create new business avenues.
• Utilize NLP frameworks to effectively parse and process text data from different formats and convert unstructured text data to structured data.  
• Leverage NLP frameworks that provide comprehensive functionality for text analysis. Utilize these frameworks to conduct exploratory data analysis, feature engineering, and gain a deeper understanding of the data to build robust data science models.
• Develop advanced supervised models leveraging NLP, ML, Deep Learning, and LLMs for classification and prediction problems. 
• Build unsupervised models on unstructured text data using LLMs, NLP, and other techniques for Information Extraction, Information Retrieval, and Text Generation tasks.
• Experiment and investigate various data science approaches and techniques to determine the optimal solution to incorporate into the models.
• Overseeing the collection and annotation of datasets for supervised and unsupervised problems, communicating data requirements to support modeling efforts.
• Initiate and maintain ownership and responsibility for both newly developed models as well as assigned existing models and processes to ensure their continuous improvement and success.
• Comprehensively document findings, analysis, and model-development steps, while preserving the documentation and codebase of the models.
• Ensure timely completion of deliverables, maintain clear communication regarding project status, and prioritize tasks effectively.
• Communicate complex technical concepts to a non-technical audience and effectively present insights and results to business stakeholders when required.
• Demonstrate attention to detail and exhibit a strong interest in gaining an understanding of financial concepts.

• Advanced degree (M.S. or Ph.D.) in a quantitative field.
• At least 3+ years of professional experience as a data scientist with experience in leading and managing data science projects.
• Proficiency/strong programming skills in R and Python with proven experience and a strong background in implementing supervised ML techniques and unsupervised modeling techniques in the area of NLP.
• Hands-on experience working with LLMs (Large Language Models) including prompt engineering which involves designing and optimizing prompts to generate high-quality output from LLMs. 
• In-depth understanding and experience in building and utilizing transformer models such as BERT, GPT, etc., and neural network architectures such as LSTM.
• Experience working with deep learning frameworks (such as Keras / TensorFlow / Deepnet / PyTorch/ Huggingface Transformers etc) with a proven track record of training and deploying models using these frameworks.
• Proficiency in working with unstructured text data and performing information extraction and information retrieval tasks.
• The ability to carry out robust statistical and exploratory data analysis to gain insights from the data.
• Familiarity with SQL, and NoSQL databases.
• Ability to interpret and implement research ideas and algorithms, while actively participating in the research and development initiatives of the data science team. Be familiar with the latest techniques and frameworks in the field of NLP.
• Effective communication skills and team player mentality.\
• Strong problem-solving skills, an inclination towards continuous learning, openness to feedback and the ability to make necessary adjustments, a solutions-oriented mindset, and a clear sense of accountability and project ownership are necessary qualifications for this role.

• Professional experience working in the finance industry. 
• Background in handling information extraction and retrieval tasks (IE/IR) specifically from financial industry-related documents like SEC Filings, Transcripts, Press Releases, etc. that come in various formats like XML, PDFs, etc.

At Reorg, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth.

The salary range estimate for this position is $130,000-$150,000. 

The actual compensation will be at Reorg’s sole discretion and will be determined by the aforementioned and other relevant factors. This position is eligible for an annual discretionary bonus.

Reorg provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Reorg complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

This role is open to be based from: New York, NY; San Francisco, CA

Edelman is looking for a talented and experienced individual to join as AI Comms Lead within our new AI dedicated team. In this role, you will be responsible for developing and executing strategic communication initiatives, fostering effective knowledge management practices, and driving marketing efforts to promote our AI-focused services. You will collaborate closely with cross-functional teams, clients, and industry experts to create impactful and compelling messaging that positions our agency as a leader in AI-driven marketing and communications.

If you are a strategic thinker, a creative storyteller, and passionate about AI and its impact on marketing and communications, we invite you to apply for the role of AI Comms Lead. Join our team and be at the forefront of shaping the narrative and driving AI-focused marketing and communications initiatives.

Responsibilities:

• Develop and implement comprehensive communication strategies to promote our agency's AI-focused services, targeting key stakeholders, clients, and industry professionals.
• Drive thought leadership initiatives by researching industry trends, conducting market analysis, and producing insightful content such as white papers, articles, blog posts, and case studies.
• Collaborate with subject matter experts, data scientists, and technical teams to translate complex AI concepts into engaging and accessible content for both technical and non-technical audiences.
• Create and manage marketing campaigns for clients raising awareness of our AI capabilities, leveraging various channels such as digital advertising, social media, email marketing, events, and webinars.
• Develop and maintain relationships with key industry influencers, media outlets, and industry associations to increase brand visibility and secure speaking engagements and media coverage.
• Monitor and analyze industry trends, competitor activities, and client feedback to identify new opportunities and adjust communication strategies accordingly.
• Collaborate with cross-functional teams, including designers, copywriters, and developers, to create visually appealing and compelling marketing collateral, including presentations, brochures, and website content.
• Serve as the primary owner and facilitator of knowledge management for all internal AI communications, including points of view (POVs), training sessions, case studies, and more.
• Act as the central point of contact within the Edelman network, addressing inquiries and requests related to AI, and providing guidance and information as needed.

• At least 6+ years of experience at a digital agency, integrated marketing, or communications firm and/or related fields.
• Bachelor's degree in Marketing, Communications, Journalism, or a related field. Advanced degrees are a plus.

• Deep understanding of AI concepts, technologies, and their applications in marketing and communications.
• Demonstrated experience in creating and executing effective internal communication strategies, including crafting compelling messages, developing communication channels, and engaging diverse stakeholders within the organization.
• Strong written and verbal communication skills, with the ability to craft compelling narratives and messages for diverse audiences.
• Proven track record in implementing knowledge management activities, such as organizing information repositories, establishing best practices for knowledge sharing, and facilitating collaborative learning within an organization.
• Excellent project management skills, with the ability to manage multiple projects and stakeholders simultaneously, while meeting deadlines and maintaining attention to detail.
• Demonstrated experience in thought leadership development, including creating research-based content, white papers, and presenting at industry conferences.
• Proficiency in digital marketing channels and tools, including social media platforms, email marketing, content management systems, and analytics platforms.
• Familiarity with marketing automation and CRM systems is a plus.
• Proactive and self-motivated with a growth mindset, staying up-to-date with industry trends and best practices.
• Strong relationship-building and networking skills, with the ability to collaborate effectively with internal teams, clients, and external partners.
• Previous experience in AI-focused marketing and communications roles.
• Familiarity with AI technologies, such as machine learning, natural language processing, and computer vision.
• Experience in managing client relationships and delivering exceptional customer service.
• Knowledge of design principles and ability to collaborate with creative teams on visual assets.
• Familiarity with SEO best practices and content optimization.

#LI-KW1

Edelman is a global communications firm that partners with businesses and organizations to evolve, promote and protect their brands and reputations. Our 6,000 people in more than 60 offices deliver communications strategies that give our clients the confidence to lead and act with certainty, earning the trust of their stakeholders. Our honors include the Cannes Lions Grand Prix for PR; Advertising Age’s 2019 A-List; the Holmes Report’s 2018 Global Digital Agency of the Year; and, five times, Glassdoor’s Best Places to Work. Since our founding in 1952, we have remained an independent, family-run business. Edelman owns specialty companies Edelman Data & Intelligence (DxI) and United Entertainment Group (entertainment, sports, lifestyle).

For more information please visit: www.edelman.com

Click here to view a short video about life at Edelman.

Employees must be fully vaccinated against COVID-19 (i.e., at least 2 weeks after last dose) and, if hired, present proof of vaccination before start date. Candidates may request an accommodation due to disability, sincerely held religious belief or exception required under applicable law. 

Edelman is committed to diversity, equity and inclusion and proud to be an equal opportunity employer. We welcome and encourage racially and ethnically diverse people, members of the LGBTQ community, veterans, parents, individuals with disabilities and members of any and all protected classes to apply. 

This role is open to be based from: New York, NY; San Francisco, CA

Edelman is seeking a highly organized and detail-oriented individual to join our team as an AI Platform Evaluation and Offering Development Lead for our AI department. As the AI Platform Evaluation and Offering Development Lead, you will play a crucial role in evaluating AI platform options and using that knowledge to drive the development of Edelman offerings and solutions. You will collaborate with cross-functional teams, track progress, ensure deliverables are met, and contribute to the successful implementation of AI-driven products. This is an exciting opportunity to be part of a dynamic team at the forefront of AI innovation.

If you are a detail-oriented and proactive professional with a passion for AI platforms and related offering development, we encourage you to apply for the role of AI Platform Evaluation and Offering Development Lead. Join our team and contribute to the successful implementation of AI-driven products that have a real impact on our organization and the industry.

Responsibilities:

• Develop and implement a consistent evaluation and rating system of AI tools and platforms for the Edelman network.
• Collaborate with product managers, engineers, data scientists, and other stakeholders to define and plan product workstreams aligned with our AI roadmap and business objectives.
• Act as a key driver in how AI technology is integrated into Edelman products and solutions to drive maximum client benefit.
• Research and evaluate emerging AI platforms, tools, and technologies to assess their capabilities, strengths, and weaknesses.
• Provide regular perspectives on the impact of various platforms and AI solutions to our business for senior leadership to evaluate for possible investment, IP development, Thought Leadership, etc.
• Develop comprehensive reports and recommendations on the suitability of AI platforms for specific use cases and business or client objectives.
• Identify gaps or areas of improvement in existing AI offerings and contribute to the development of new solutions based on platform evaluations.

• At least 8+ years of experience at a digital agency, integrated marketing, or communications firm and/or related fields.
• A bachelor’s degree in Computer Science, Engineering, Business, or a related field. Additional certifications or training in project management are a plus.

• Strong understanding of the AI space – the platforms, key players, and trends impacting the space.
• Proven experience developing offerings or products and bringing them to market
• Familiarity with AI concepts, technologies, and processes is highly desirable.
• Strong organizational and time management skills, with the ability to handle multiple workstreams simultaneously and prioritize tasks effectively.
• Excellent communication and interpersonal skills, with the ability to collaborate and influence stakeholders at all levels of the organization.
• Detail-oriented mindset, ensuring accuracy and completeness in workstream coordination and documentation.
• Analytical mindset with the ability to identify dependencies, risks, and opportunities within workstreams.
• Self-motivated and proactive, with the ability to work independently and as part of a team.
• Experience working on AI-related projects or in a technology-driven environment.
• Knowledge of AI development frameworks and tools.
• Previous experience coordinating cross-functional teams and managing project timelines.
• Strong problem-solving skills and the ability to adapt to changing priorities.

#LI-KW1

Edelman is a global communications firm that partners with businesses and organizations to evolve, promote and protect their brands and reputations. Our 6,000 people in more than 60 offices deliver communications strategies that give our clients the confidence to lead and act with certainty, earning the trust of their stakeholders. Our honors include the Cannes Lions Grand Prix for PR; Advertising Age’s 2019 A-List; the Holmes Report’s 2018 Global Digital Agency of the Year; and, five times, Glassdoor’s Best Places to Work. Since our founding in 1952, we have remained an independent, family-run business. Edelman owns specialty companies Edelman Data & Intelligence (DxI) and United Entertainment Group (entertainment, sports, lifestyle).

For more information please visit: www.edelman.com

Click here to view a short video about life at Edelman.

Employees must be fully vaccinated against COVID-19 (i.e., at least 2 weeks after last dose) and, if hired, present proof of vaccination before start date. Candidates may request an accommodation due to disability, sincerely held religious belief or exception required under applicable law. 

Edelman is committed to diversity, equity and inclusion and proud to be an equal opportunity employer. We welcome and encourage racially and ethnically diverse people, members of the LGBTQ community, veterans, parents, individuals with disabilities and members of any and all protected classes to apply. 

This role is open to be based from: New York, NY; San Francisco, CA

Edelman is looking for an experienced and dynamic individual as the SVP, Head of AI & Business Transformation to join our organization supporting the global agency efforts across this emerging field. As the leader in this role, you will be responsible for driving the integration and utilization of artificial intelligence (AI) technologies to transform our business processes, enhance operational efficiency, and unlock new opportunities for growth and innovation. You will play a pivotal role in shaping our strategic direction, implementing AI-driven solutions, and driving organizational change.

You will be responsible for building relationships, helping architect novel AI solutions and capabilities to generate client impact, as well as planning and penetrating target technology areas, and supporting AI integration.

If you are a strategic thinker, a visionary leader, and passionate about leveraging AI to drive business transformation, we invite you to apply for this role of SVP, Head of AI & Business Transformation. Join our team and be a catalyst for change in a rapidly evolving technological landscape.

Responsibilities:

• Establish and develop the AI practice within the company, including defining the vision, strategy, and roadmap for AI adoption, and building a high-performing team to support the growth and success of the AI practice.
• Develop and execute a comprehensive AI strategy to align with the company's overall business objectives and drive digital transformation initiatives.
• Identify and evaluate AI technologies, tools, and platforms to enhance business processes, improve decision-making, and enable predictive analytics.
• Lead cross-functional teams in the design, development, and implementation of AI-based solutions across various business units.
• Collaborate with stakeholders to identify opportunities for automation, optimization, and process improvement through the application of AI techniques.
• Manage and oversee AI projects, ensuring successful delivery within scope, timeline, and budget.
• Drive organizational change by fostering a culture of innovation, data-driven decision-making, and continuous improvement.
• Stay up-to-date with the latest advancements in AI technologies, industry trends, and best practices, and apply this knowledge to drive business growth.

• At least 10+ years of experience at a digital agency, integrated marketing, or communications firm and/or related fields.
• A bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.

• Proven track record of driving digital transformation and leading those initiatives in a complex organizational environment.
• Strong understanding of AI technologies, including machine learning, deep learning, natural language processing, and computer vision.
• Experience in developing and implementing AI solutions, including data acquisition, preprocessing, model development, and deployment.
• Strong strategic thinking and business acumen, with the ability to align AI initiatives with organizational goals and drive tangible business outcomes.
• Excellent leadership and communication skills, with the ability to influence and inspire cross-functional teams and stakeholders at all levels.
• Strong project management skills, including the ability to prioritize tasks, manage resources, and deliver results in a fast-paced environment.
• Advanced studies in AI, Machine Learning, or a related field.
• Experience in leading large-scale AI projects and managing multidisciplinary teams.
• Familiarity with industry-specific challenges and opportunities related to AI and business transformation.
• Knowledge of regulatory and ethical considerations in AI development and deployment.
• Experience in change management and driving cultural transformation within an organization.

#LI-KW1

Edelman is a global communications firm that partners with businesses and organizations to evolve, promote and protect their brands and reputations. Our 6,000 people in more than 60 offices deliver communications strategies that give our clients the confidence to lead and act with certainty, earning the trust of their stakeholders. Our honors include the Cannes Lions Grand Prix for PR; Advertising Age’s 2019 A-List; the Holmes Report’s 2018 Global Digital Agency of the Year; and, five times, Glassdoor’s Best Places to Work. Since our founding in 1952, we have remained an independent, family-run business. Edelman owns specialty companies Edelman Data & Intelligence (DxI) and United Entertainment Group (entertainment, sports, lifestyle).

For more information please visit: www.edelman.com

Click here to view a short video about life at Edelman.

Employees must be fully vaccinated against COVID-19 (i.e., at least 2 weeks after last dose) and, if hired, present proof of vaccination before start date. Candidates may request an accommodation due to disability, sincerely held religious belief or exception required under applicable law. 

Edelman is committed to diversity, equity and inclusion and proud to be an equal opportunity employer. We welcome and encourage racially and ethnically diverse people, members of the LGBTQ community, veterans, parents, individuals with disabilities and members of any and all protected classes to apply. 

A market leader in credit intelligence, Reorg brings together journalists, financial analysts, legal analysts, technologists, and data scientists to collect and synthesize highly complex information into actionable intelligence. Since 2013, tens of thousands of professionals across hedge funds, investment banks, management consulting, and law firm verticals have come to rely on Reorg to make better, faster, and more confident decisions in pace with the fast-moving credit markets. For more information, visit: www.reorg.com

Working at Reorg

Consistent with our growth, Reorg hires innovators and trailblazers across the globe to drive our business and our incredible corporate culture alike. Our core values – Action Oriented, Customer First Mindset, Effective Team Players, and Driven to Excel – define an organizational ethos that’s as high-performing as it is human. Among other perks, Reorg employees enjoy competitive health benefits, matched 401k and pension plans, Paid time off, generous parental leave, gym subsidies, educational reimbursements for career development, recognition programs, pet-friendly offices, and much more. 

The Role

At Reorg, we are seeking candidates to handle product managers, analyze the market and competitive conditions, and provide strategic guidance for product management. The individual for this role will provide tactical and strategic guidance required by the business. This individual will also offer tactical and strategic support vital for meeting the organization's needs.

Essential Job Functions

• Identifying areas where Gen AI could be applied to solve problems: Working with business and product teams to determine high-impact opportunities to implement AI technology. Analyzing business processes and data to uncover predictive modeling, automation, optimization, and personalization use cases.
• Developing AI product concepts: Collaborating with stakeholders to envision and design innovative AI-powered products, services, and features that meet customer needs and business goals. Defining the data, models, and architecture required.
• Testing and evaluating AI products: Conducting experiments to measure the performance, usability, and impact of AI products over time. Analyzing results and user feedback to make improvements to data, models, and product designs in an iterative fashion.
• Deploying AI in production environments: Implementing AI models and applications in live production systems where they can operate at scale with minimal manual intervention.
• Managing AI projects: Planning, prioritizing, budgeting, and leading AI research and product development projects. Recruiting and leading cross-functional teams of data scientists, engineers, and product managers. Providing progress updates and roadmaps to executives and stakeholders.
• Staying up to date with changes: Continuously learning about advancements in AI, ML/NLP/LLM tools and technologies as well as new product designs, methodologies, and industry use cases. Adapting knowledge and skills to keep AI projects innovative.
• Promoting AI product adoption: Creating materials to educate internal and external users on how AI products and features can be accessed and applied to derive value. Championing AI products across the organization to drive engagement, feedback and improvement opportunities.
• Ensuring responsible AI development: Building fairness, transparency, privacy, and security into AI product design. Developing processes to identify and mitigate risks from AI like bias, job disruption, and data misuse. Complying with laws and ethics around AI and data use.

• Bachelor’s Degree and additional certificates such as PMP
• Master’s strongly preferred
• Proven experience in product management, research, or a related role, preferably within the data science or AI industry.

• 5 years

Reorg provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Reorg complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Head of Distribution

Company: Koop Technologies

Position: Head of Distribution

Type: Full-Time

Location: New York, NY (in-person or hybrid)

Who We Are:

Koop Technologies is a company behind the world’s smartest insurance designed for the era of emerging risks.  Our team built a powerful toolset that seamlessly encompasses insurance, compliance, and security for small-to-mid-sized enterprises (SMEs) in a variety of industries, from manufacturing and professional services to robotics and artificial intelligence.  Finance, operations, legal, compliance, and insurance teams rely on us on a daily basis to protect their customers, assets, technology, and people.  Our value proposition is to enable businesses with powerful risk management features to proactively prevent accidents before they happen and decrease the cost of risk for a wide range of emerging products and technologies.

This decade will mark a technological makeover of the world.  We believe every company will become a technology company in the near future.  With that, businesses will face novel risks such as poor information technology security, complex product liability issues, inadequate human-machine interactions, business interruptions due to technical failures, and a lot more.  Those risks are interconnected and must be addressed with sophisticated yet easy-to-use risk control tools.  Our vision is to protect the world from a new generation of risks and become a category-defining company that will power millions of enterprises around the world with a risk management tool for a secure future. 

We are post-product-market-fit, post-traction, with a clear execution roadmap and strong support from our growing customer base.  Koop is backed by leading investors, including Ubiquity Ventures and Bee Partners.  Currently, we are growing our product, engineering, and distribution teams to reach product development and production milestones over the next 24 months.  We value a strong work ethic, meritocracy, the ability to think from the first principles, creative problem-solving, excellent communication skills, and technical mindsets.

More about Koop Technologies: website, press, LinkedIn, Twitter.

Job Description:

We are looking for a Head of Distribution who will have a rare opportunity to scale the insurance sales and business development functions over the next 24 months and well beyond.  Working side-by-side with the founding team, this person will be a key contributor to turning Koop into a go-to brand for millions of enterprise insurance customers.

Specifically, the candidate will:

• Deeply understand the insurance needs of technology SMEs across a variety of industries
• Develop and execute insurance distribution strategy across direct and brokerage channels
• Meet premium production KPIs by systematically growing the client base and engaging brokers
• Bring in new brokerage relationships to the platform and grow the existing broker appointments to reach required premium production milestones
• Curate high-quality databases of insurance leads for multiple business lines
• Launch compelling product marketing campaigns to drive conversion of customers and broker partners to the platform
• Solve customers’ insurance challenges and help them reduce their risk using the platform features
• Collect customer and broker partner feedback and provide valuable inputs to Product, Engineering, and Operations functions
• Create trust with customers and broker partners by providing excellent customer service
• Find creative ways to promote the company’s brand and build customer loyalty
• Help structure innovative insurance products for a wide range of emerging risks
• Navigate complex regulatory environments of the compliance and insurance industries
• Work with cross-functional teams in Distribution, Insurance, Engineering, Operations, and Research
• Report to and work closely with the C-Suite of the company
• Be a subject matter expert and thought leader in the GRC (Governance, Risk Management, and Compliance), security, and insurance areas
• Represent Koop Technologies and own the emerging risks narratives

• Active insurance producer license or an ability to obtain one
• Strong understanding of the insurance brokerage and MGA markets
• Experience in successfully scaling insurance products across various distribution channels
• Experience in building large-scale brokerage partnerships across multiple lines of business
• Demonstrated ability to be a self-starter and produce new business independently
• Demonstrated ability to serve complex customer and broker partner problems and requests
• Ability to stay ahead of the market and research the latest trends
• Ability to learn technical concepts and terms quickly and use them in customer engagements
• Ability to keep a sharp focus on the priority deliverables
• Founder mindset, tremendous work ethic, and excellent written/verbal skills

• At least 5 years of experience at an insurance technology company, brokerage, or MGA in a mid-to-senior-level distribution role with a history of successfully building books of business
• Bachelor’s/Master’s degree in Arts, Science, or related academic fields
• Excellent organization, time management, and project management skills
• Excellent sales and product marketing skills
• Excellent communication and written skills

• Existing retail or wholesale brokerage relationships
• Familiarity with Errors & Omissions and Cyber insurance coverages

• We are building a category-defining product that will uniquely protect the world of emerging technology companies and enterprises
• Rare opportunity to join an early-stage company that is building for the exponential growth
• Work with an energetic team coming from diverse professional backgrounds in product development, software engineering, quantitative modeling, insurance, and sales
• Join a fast-paced, rewarding work environment that will bring the best out of you and experience tremendous professional growth in a short period of time
• Join the mission to help protect the world from a new generation of risks

• In-person or hybrid job setting
• Competitive salary, performance incentives (commissions), and generous equity
• Health, dental, and vision package
• Flexible time off and paid holidays
• Paid professional development (e.g. courses, materials, events, etc.)
• Tremendous growth opportunity (professionally, personally, and financially)

You will join a team of product builders, software engineers, quantitative modelers, insurance professionals, and emerging risks visionaries, all bound together by an incredible drive to define, build, and scale the world’s smartest insurance platform.

How to Apply:

Please apply on our website or on LinkedIn.  For additional information, please feel free to contact talent@koop.ai.

Equal Opportunity:

Koop Technologies is an equal opportunity employer, inclusive of people from all walks of life who are willing and able to commit themselves to the required job in full.

Join our team at ASAPP, where we're developing transformative Vertical AI designed to improve customer experience. Recognized by Forbes AI 50, ASAPP designs generative AI solutions that transform the customer engagement practices of Fortune 500 companies. With our automation and simplified work processes, we empower people to reach their full potential and create exceptional experiences for everyone involved. Work with our team of talented researchers, engineers, scientists, and specialists to help solve some of the biggest and most complex problems the world is facing.

The Data Infrastructure team at ASAPP designs, builds, and maintains our mission-critical core data infrastructure and analytics platform. Accurate, easy-to-access, and secure data is critical to our natural language processing (NLP) customer interaction platform which interacts with tens of millions of end-users in real-time. 

We’re looking to hire a Manager or Senior Manager, Data Infrastructure with the knack for building out data infrastructure systems that can handle our ever-growing volumes of data and the demands we want to make of it. Automation is a key part of our workflow, so you’ll help design and build highly-available data processing pipelines that self-monitor and report anomalies. As part of our fast-growing data engineering team, this role will also play an integral role in shaping the future of data infrastructure as it applies to improving our existing metric-driven development and machine learning capabilities.

This role is onsite or hybrid flexible. We have offices in New York City, Northern California, and Bozeman.

What you'll do

• Manage, mentor, and grow a team of software engineers. Foster a healthy and collaborative culture, and a high-output team 
• Team management and technical management (35%), working cross functionally with other engineering managers/architects (35%), architecture and individual contribution (30%)
• Drive technical and cross-functional projects and provide leadership in an innovative and fast-paced environment
• Design and deploy improvements to our mission-critical production data pipeline, data warehouses, data systems
• Expand our logging and monitoring processes to discover and resolve anomalies and issues before they become problems
• Develop state-of-the-art automation and data solutions in Python, Spark and Flink
• Maintain, Manage, Monitor our infrastructure related including Kafka, Kubernetes, Spark, Flink, Jenkins, general OLAP and RDBMS databases, S3 objects buckets, permissions
• Increase the efficiency, accuracy, and repeatability of our ETL processes
• Know how to make the tradeoffs required to ship without compromising quality

• 12+ years of experience in general software development and/or dev-ops, sre roles
• 5+ years experience in building and supporting data infrastructure 
• The ideal candidate will have at least 3+ years of people management experience and enjoys being a technical hands-on manager
• Demonstrated ability to develop sizing & capacity planning for large scale cloud big data platforms and optimizing performance and platform throughput
• Confidence operating in a devops-like capacity working with AWS, Kubernetes, Jenkins, Terraform, etc. thinking about automation, alerting, monitoring, and security and other declarative infrastructure
• Expertise in at least one flavor of SQL, e.g. Redshift, Postgres, MySQL, Presto, Spark SQL, Hive
• Proficiency in a high-level programming language. We use Python, Scala, Java, Kotlin, and GoExperience with CI/CD (continuous integration and deployment)
• Experience with workflow management systems such as Airflow, Oozie, Luigi, and Azkaban
• Experience implementing data governance, i.e. access management policies, data retention, IAM, etc.
• Confidence operating in a devops-like capacity working with AWS, Kubernetes, Jenkins, Terraform, etc. thinking about automation, alerting, monitoring, and security and other declarative infrastructure
• Strong experience leading and growing successful infrastructure teams that consist of multiple software engineers and managers
• Experience managing expectations and relationships with multiple collaborators and project teams across various functional areas

• Bachelor’s Degree in a field of science, technology, engineering, or math, or equivalent hands-on experience
• Experience in maintaining and managing kafka (not just using)
• Experience in maintaining and managing OLAP/HA database systems (not just using)
• Familiarity handling Kubernetes clusters for various jobs, apps, and high throughput
• Technical knowledge of data exchange and serialization formats such as Protobuf, Avro, or Thrift
• Experience in either deploying and creating Spark Scala and/or Flink applications

• Competitive compensation with stock options
• Comprehensive medical, vision, and dental insurance
• 401k matching
• Fitness and wellness stipend
• Mobile phone reimbursement
• Mental well-being benefits
• Professional learning and development stipend
• Parental leave, including adoptive and foster parents
• 3 weeks paid time off (increases with tenure) and unlimited sick leave

ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at careers@asapp.com to obtain assistance. #LI-AG1 #LI-Hybrid