47807ca3-e36 Strategic AI/BI Account Executive We are seeking a Strategic AI/BI Account Executive to help enterprise customers transform how business users interact with data. This high-impact role sits within the AI Go-To-Market team and partners closely with Enterprise Account Executives to drive adoption of Databricks AI/BI and Genie in APJ.

You will help organisations move beyond static dashboards to governed, conversational, AI-powered analytics at the centre of the convergence of business intelligence, data platforms, and generative AI. Enterprise analytics is rapidly evolving from dashboards and static reporting to conversational, AI-driven decision platforms. Databricks AI/BI and Genie empower business users to securely interact with governed data using natural language, transforming the data platform into a true decision platform.

Key responsibilities include:

  • Partner with Enterprise AEs to identify, qualify, and close AI/BI opportunities
  • Engage C-level, analytics, and line-of-business leaders to modernise analytics strategies
  • Displace or expand legacy BI platforms with AI-powered, governed analytics solutions
  • Lead conversations around semantic governance, self-service analytics, and natural language data access
  • Drive proof-of-value engagements and scale enterprise-wide adoption
  • Align AI/BI initiatives to measurable business outcomes (productivity, speed to insight, revenue impact)
  • Enable field teams and serve as a subject matter expert on modern analytics architectures

Requirements include:

  • Enterprise sales experience in BI, analytics, data platforms, or AI/ML
  • Strong understanding of modern analytics architectures and data governance
  • Ability to sell to both technical and business stakeholders
  • Executive presence and experience navigating complex buying cycles
  • Passion for AI and the impact of GenAI on enterprise analytics
  • Experience operating in a specialist or overlay sales model
  • Ability to translate technical capabilities into clear business value
  • 7+ years of Enterprise Sales experience, exceeding quotas in larger accounts

Preferred qualifications include:

  • Experience with modern BI platforms such as Tableau, Power BI, Looker, or ThoughtSpot
  • Familiarity with semantic layers, metrics stores, or governed data models
  • Understanding of lakehouse architectures and cloud data platforms
  • Exposure to GenAI, natural language interfaces, or conversational applications
  • Consulting or solution design experience in customer-facing roles

XML job scraping automation by YubHub

]]> full-time executive onsite Enterprise sales experience in BI, analytics, data platforms, or AI/ML, Strong understanding of modern analytics architectures and data governance, Ability to sell to both technical and business stakeholders, Executive presence and experience navigating complex buying cycles, Passion for AI and the impact of GenAI on enterprise analytics, Experience with modern BI platforms such as Tableau, Power BI, Looker, or ThoughtSpot, Familiarity with semantic layers, metrics stores, or governed data models, Understanding of lakehouse architectures and cloud data platforms, Exposure to GenAI, natural language interfaces, or conversational applications, Consulting or solution design experience in customer-facing roles Sales Technology Databricks https://logos.yubhub.co/databricks.com.png Databricks is a data and AI company with over 10,000 organisations worldwide relying on its data intelligence platform. https://databricks.com https://job-boards.greenhouse.io/databricks/jobs/8441884002 Singapore 2026-04-18 8aca0e87-abb Strategic AI/BI Account Executive We are seeking a Strategic AI/BI Account Executive to help enterprise customers transform how business users interact with data. This high-impact role sits within the AI Go-To-Market team and partners closely with Enterprise Account Executives to drive adoption of Databricks AI/BI and Genie.

You will help organizations move beyond static dashboards to governed, conversational, AI-powered analytics at the center of the convergence of business intelligence, data platforms, and generative AI.

Enterprise analytics is rapidly evolving from dashboards and static reporting to conversational, AI-driven decision platforms. Databricks AI/BI and Genie empower business users to securely interact with governed data using natural language, transforming the data platform into a true decision platform.

If you want to be at the forefront of AI-powered analytics transformation at one of the fastest-growing data and AI companies in the world, this is your opportunity.

The impact you will have:

  • Partner with Enterprise AEs to identify, qualify, and close AI/BI opportunities
  • Engage C-level, analytics, and line-of-business leaders to modernize analytics strategies
  • Displace or expand legacy BI platforms with AI-powered, governed analytics solutions
  • Lead conversations around semantic governance, self-service analytics, and natural language data access
  • Drive proof-of-value engagements and scale enterprise-wide adoption
  • Align AI/BI initiatives to measurable business outcomes (productivity, speed to insight, revenue impact)
  • Enable field teams and serve as a subject matter expert on modern analytics architectures

What we look for:

  • Enterprise sales experience in BI, analytics, data platforms, or AI/ML
  • Strong understanding of modern analytics architectures and data governance
  • Ability to sell to both technical and business stakeholders
  • Executive presence and experience navigating complex buying cycles
  • Passion for AI and the impact of GenAI on enterprise analytics
  • Experience operating in a specialist or overlay sales model
  • Ability to translate technical capabilities into clear business value
  • 7+ years of Enterprise Sales experience, exceeding quotas in larger accounts
  • Bachelors Degree or equivalent experience

XML job scraping automation by YubHub

]]> full-time executive onsite Enterprise sales experience in BI, analytics, data platforms, or AI/ML, Strong understanding of modern analytics architectures and data governance, Ability to sell to both technical and business stakeholders, Executive presence and experience navigating complex buying cycles, Passion for AI and the impact of GenAI on enterprise analytics Sales Technology Databricks https://logos.yubhub.co/databricks.com.png Databricks is a data and AI company that provides a unified and democratized data, analytics, and AI platform. It has over 10,000 organizations worldwide as clients. https://databricks.com https://job-boards.greenhouse.io/databricks/jobs/8441888002 London, United Kingdom 2026-04-18 4d67ce9b-156 Senior Product Manager, Data Enablement Omada Health is on a mission to inspire and engage people in lifelong health, one step at a time.\n\nAs the Senior Product Manager for Data Enablement, you will be the enterprise-level owner of analytics capabilities, shared definitions, and enablement tooling that ensures Omada can answer critical business questions faster and more efficiently. This role will work across Product, Clinical, Commercial, Operations, and Finance to create the structures for how analytics are governed, accessed, and used.\n\nThe primary mandate of this role is to own the product strategy and roadmap for Omada’s enterprise analytics including governance, shared definitions, and enablement tooling. You are accountable for ensuring that teams across Product, Clinical, Commercial, Operations, and Finance can ask and answer critical business questions quickly, consistently, and with high trust in the underlying data. This means defining how key concepts are governed, how analytics tools are shaped and prioritized, and how cross-functional stakeholders engage with the data platform.\n\nYou will act as the central product owner for Omada’s analytics ecosystem, setting clear standards and driving adoption across the company. In practice, this includes:\n\n* Owning the roadmap for core data products and analytics tooling that power dashboards, reporting, and self-service analysis.\n* Driving the culture of data across our engineering, product and other business teams at Omada\n* Partnering with data, engineering, analytics, and business leaders to ensure analytics investments are aligned with company strategy and deliver measurable impact.\n* Collaborating with other product managers to incorporate data science concepts into their features & experiences\n\nAbout you:\n\n* 10+ years of relevant product management or data product experience (8+ years with Master's degree, 5+ years with PhD)\n* 7+ years of experience with data technology and data management, including familiarity with:\n * Modern data warehousing technologies (Redshift, Snowflake, BigQuery or similar)\n * Cloud technologies, preferably AWS\n * Business intelligence and analytics tools (Tableau, Amplitude, Looker, or similar)\n * Data governance frameworks and data quality management\n * SQL and ability to write queries and QA datasets\n* Subject matter expertise in enterprise analytics governance, data product management, or analytics enablement\n* Experience establishing governance processes & associated tool implementation for data definitions, metrics, or analytics across multiple business functions\n* Proven ability to partner with Data Teams for technical evaluation of self service tools and/or statistical model training lifecycle\n* Proven ability to influence senior stakeholders and reconcile opposing viewpoints to drive consensus\n* Track record of working on problems that are not clearly defined, using advanced knowledge and conceptual thinking to develop solutions\n* Experience with healthcare data standards and regulatory requirements is strongly preferred\n* Bachelor's degree or equivalent relevant experience (advanced degree preferred)\n\nEssential Competencies:\n\n* Strategic & Analytical:\n * Able to think beyond constraints to imagine new ways to use data to impact members and customers\n * Excellent organizational and analytical skills with strong technical understanding\n * Comfortable analyzing data and leading research/discovery efforts to understand problem spaces, identify opportunities, and propose solutions\n * Proven ability to set clear, achievable objectives and work plans for complex, cross-functional initiatives\n* Communication & Influence:\n * Exceptional written and verbal communication skills\n * Ability to create formal networks with key decision makers and influence stakeholders across multiple functions\n * Skilled at adapting communication style for different audiences, from technical teams to senior executives\n * Experience negotiating matters of significance with senior management and/or major customers\n* Collaboration & Problem Solving:\n * Comfortable with ambiguity and adept at solving problems with limited resources and information\n * Able to drive alignment among diverse stakeholders with competing priorities\n * Great listener who asks insightful questions and doesn't accept "It's how we've always done it" as an answer\n * Proven ability to reconcile various and opposing stakeholder views to drive results\n* Execution & Delivery:\n * History of consistently delivering results against target metrics and commitments\n * Experience managing product backlogs, writing clear product specifications, and driving execution\n * Ability to exercise autonomous decision making with limited input on methods and techniques to obtain results\n\nYour impact:\n\nIn this role, you will directly contribute to transforming how Omada uses data to serve members, customers, and internal stakeholders. Your work will:\n\n* Eliminate fragmentation: Establish single sources of truth for critical business and clinical metrics, reducing confusion and accelerating decision-making\n* Increase trust: Build confidence in analytics across the organization through governed definitions and transparent processes\n* Accelerate insights: Enable analysts and business users to answer questions faster through improved tooling, AI-assisted analytics, and reusable data products\n* Scale effectively: Create governance frameworks and enablement systems that scale as Omada's product portfolio and customer base expand\n* Drive outcomes: Ensure that data and analytics capabilities directly support better health outcomes for members and business results for customers\n\nBenefits:\n\n* Competitive salary with generous annual cash bonus\n* Equity grants\n* Remote first work from home culture\n* Flexible Time Off to help you rest, recharge, and connect with loved ones\n* Generous parental leave\n* Health, dental, and vision insurance (and above market employer contributions)\n* 401k retirement savings plan\n* Lifestyle Spending Account (LSA)\n* Mental Health Support Solutions\n* ...and more!\n\nWe take a village to change healthcare. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada!\n\n* Cultivate Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other.\n* Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road.\n* Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers.\n* Deliver Results. We reward impact above output.

XML job scraping automation by YubHub

]]> full-time senior remote data technology, data management, modern data warehousing technologies, cloud technologies, business intelligence and analytics tools, data governance frameworks, data quality management, SQL, subject matter expertise in enterprise analytics governance, data product management, analytics enablement Engineering Healthcare Omada Health https://logos.yubhub.co/omadahealth.com.png Omada Health is a healthcare technology company that provides virtual-first care for pre-diabetes, diabetes, hypertension, and musculoskeletal conditions. https://www.omadahealth.com/ https://job-boards.greenhouse.io/omadahealth/jobs/7759052 Remote, USA 2026-04-17 c64552fd-841 Associate Product Manager, Data Governance Omada Health is on a mission to inspire and engage people in lifelong health, one step at a time.\n\nAs the Associate Product Manager for Data Governance, you will be the enterprise-level owner of analytics governance, shared definitions, and enablement processes that ensures Omada can answer critical business questions faster and more efficiently. This role will work across Product, Clinical, Commercial, Operations, and Finance to create the structures for how analytics are governed, accessed, and used.\n\nThe primary mandate of this role is to support the product strategy and roadmap for Omada’s enterprise analytics including governance, shared definitions, and enablement tooling. You are accountable for ensuring that teams across Product, Clinical, Commercial, Operations, and Finance can ask and answer critical business questions quickly, consistently, and with high trust in the underlying data. This means defining how key concepts are governed, how new concepts are integrated into the data model, and how cross-functional stakeholders engage with the data platform.\n\nYou will act as the central product owner for Omada’s analytics ecosystem, setting clear standards and driving adoption across the company. In practice, this includes:\n\n* Establishing and maintaining authoritative definitions for core business and clinical concepts, and resolving conflicts between local and enterprise views.\n* Designing and evolving governance processes, SOPs, and engagement models so that analysts and business users can work efficiently within a coherent, well-understood framework.\n* Collaborating with other product managers to incorporate data science concepts into their features & experiences\n\nAbout you:\n\n* 5+ years of relevant experience with a Bachelor’s degree or additional equivalent/relevant years of experience in lieu of a Bachelor’s (or generally 3+ with an advanced degree)\n* Subject matter expertise in enterprise analytics governance, data product management, or analytics enablement\n* Experience establishing governance processes & associated tool implementation for data definitions, metrics, or analytics across multiple business functions\n* Track record of working on problems that are not clearly defined, using advanced knowledge and conceptual thinking to develop solutions\n* Experience with healthcare data standards and regulatory requirements is strongly preferred\n\nEssential Competencies:\n\n* Strategic & Analytical:\n + Able to think beyond constraints to imagine new ways to use data to impact members and customers\n + Excellent organizational and analytical skills with strong technical understanding\n + Comfortable analyzing data and leading research/discovery efforts to understand problem spaces, identify opportunities, and propose solutions\n* Communication & Influence:\n + Exceptional written and verbal communication skills\n + Ability to create formal networks with key decision makers and influence stakeholders across multiple functions\n + Skilled at adapting communication style for different audiences, from technical teams to senior executives\n* Collaboration & Problem Solving:\n + Comfortable with ambiguity and adept at solving problems with limited resources and information\n + Great listener who asks insightful questions and doesn't accept "It's how we've always done it" as an answer\n + Proven ability to reconcile various and opposing stakeholder views to drive results\n* Execution & Delivery:\n + History of consistently delivering results against target metrics and commitments\n + Ability to exercise autonomous decision making with limited input on methods and techniques to obtain results\n\nYour impact:\n\nIn this role, you will directly contribute to transforming how Omada uses data to serve members, customers, and internal stakeholders. Your work will:\n\n* Eliminate fragmentation: Establish single sources of truth for critical business and clinical metrics, reducing confusion and accelerating decision-making\n* Increase trust: Build confidence in analytics across the organization through governed definitions and transparent processes\n* Scale effectively: Create governance frameworks and enablement systems that scale as Omada's product portfolio and customer base expand\n\nYou will immerse yourself in factors influencing how teams across Omada learn, make decisions, and use data to improve member experiences. Your impact will touch Product, Clinical, Commercial, Operations, Finance, and more.\n\nBenefits:\n\n* Competitive salary with generous annual cash bonus\n* Equity grants\n* Remote first work from home culture\n* Flexible Time Off to help you rest, recharge, and connect with loved ones\n* Generous parental leave\n* Health, dental, and vision insurance (and above market employer contributions)\n* 401k retirement savings plan\n* Lifestyle Spending Account (LSA)\n* Mental Health Support Solutions\n* ...and more!\n\nIt takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada!\n\n* Cultivate Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other.\n* Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road.\n* Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers.\n* Deliver Results. We reward impact above output. We set a high bar, we’re not afraid to fail, and we take pride in our work.\n* Succeed Together. We prioritize Omada’s progress above team or individual. We have fun as we get stuff done, and we celebrate together.\n* Remember Why We’re Here. We push through the challenges of changing health care because we know the destination is worth it.\n\n

XML job scraping automation by YubHub

]]> full-time mid remote enterprise analytics governance, data product management, analytics enablement, governance processes, SOPs, engagement models, data science concepts, healthcare data standards, regulatory requirements Engineering Healthcare Omada Health https://logos.yubhub.co/omadahealth.com.png Omada Health is a between-visit healthcare provider that addresses lifestyle and behavior change elements for individuals managing chronic conditions. https://www.omadahealth.com/ https://job-boards.greenhouse.io/omadahealth/jobs/7788457 Remote, USA 2026-04-17 51ccd8e0-691 Data Scientist, Platform and B2B Products Data Scientist, Platform and B2B Products

Location

San Francisco

Employment Type

Full time

Department

Data Science

Compensation

  • $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance related bonus for eligible employees and benefits.

  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick and safe time (1 hour per 30 hours worked)
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend to fuel your professional growth
  • Daily meals in our offices, and meal delivery credits as eligible
  • Relocation support for eligible employees
  • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

OpenAI’s Platform team powers how millions of developers and enterprises build with our models. We provide APIs and agentic solutions used by global startups and fortune 500s. We work closely with product, engineering, design, and go-to-market to build a world-class platform that pushes the frontier of AI capabilities.

About the Role

As a Data Scientist on the Platform team, you will drive a data-driven culture for OpenAI’s API and B2B solutions. You’ll define the metrics that matter for developer success and enterprise value, measure the impact of new models and features, and partner with PMs and engineers to improve model quality, reliability, latency, and cost. Your work will shape how thousands of products adopt agentic AI.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will

  • Embed with the Platform product team as a trusted partner, uncovering ways to improve developer experience, reliability, and usage growth
  • Define north-star metrics across the developer funnel (activation, retention, growth), as well as latency/cost guardrails for new features and models
  • Design and interpret A/B tests and controlled rollouts (e.g., new model versions, pricing/limits, new API features, new B2B products)
  • Build source-of-truth dashboards and self-serve data tools for product, engineering, and go-to-market teams
  • Translate product learnings into actionable feedback for Research (e.g., failure modes, eval gaps, model response quality)

You might thrive in this role if you have

  • 5+ years in a quantitative role in ambiguous, high-growth environments (platforms, APIs, or B2B products a plus)
  • Depth in SQL and Python, with a track record proposing, designing, and running rigorous experiments
  • Experience defining and operationalizing metrics from scratch (including reliability/latency/cost and safety)
  • Strong cross-functional communication with PMs, engineers, and executives
  • Strategic instincts beyond p-values—clear thinking about tradeoffs and business impact

You could be an especially great fit if you have

  • Background in developer platforms, observability, or usage-based pricing/quotas
  • Experience connecting offline evals to online product impact
  • Prior work in NLP/LLMs or agentic systems, or in enterprise analytics for B2B products

About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

XML job scraping automation by YubHub

]]> full-time senior hybrid $230K – $385K • Offers Equity SQL, Python, A/B testing, dashboard building, data analysis, data visualization, machine learning, natural language processing, agentic systems, developer platforms, observability, usage-based pricing/quotas, NLP/LLMs, enterprise analytics Engineering Technology OpenAI https://logos.yubhub.co/openai.com.png OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. https://jobs.ashbyhq.com https://jobs.ashbyhq.com/openai/f1567543-4de1-468e-9054-bc5fd21a55e2 San Francisco 2026-03-06 c66d7006-392 Data Scientist, B2B Data Scientist, B2B

Location

San Francisco; New York City

Employment Type

Full time

Location Type

On-site

Department

Data Science

Compensation

  • $293K – $515K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend to fuel your professional growth
  • Daily meals in our offices, and meal delivery credits as eligible
  • Relocation support for eligible employees
  • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

Our B2B product organisation is building the systems that will accelerate and automate how companies operate using AI coworkers. Our vision is to enable companies to scale to $1B+ with teams of fewer than five people by leveraging AI agents and automation. We are building the infrastructure, products, and analytics that allow organisations to deploy fleets of AI agents, automate workflows, and dramatically increase employee productivity. This team sits at the centre of the future of work: defining how humans collaborate with AI systems across companies, workflows, and knowledge.

About the Role

We are looking for a product-focused Data Scientist to help shape the next generation of AI-powered enterprise products, including ChatGPT Enterprise and agentic automation systems.

This is not a traditional analytics role. You will work directly with product managers, engineers, and researchers to define how AI agents behave, how organisations adopt them, and how we measure their impact on work.

You’ll analyse how users interact with AI systems, inform product strategy, and help build the measurement frameworks that guide the future of enterprise AI.

In this role, you will:

  • Partner closely with product, engineering, and research teams to shape AI-powered enterprise products
  • Define metrics and measurement frameworks for AI agents, automation workflows, and enterprise adoption
  • Analyse how organisations use AI tools and identify opportunities to improve product experience and business impact
  • Drive insights around enterprise adoption, retention, and value realisation
  • Inform product decisions around agent orchestration, enterprise workflows, and AI productivity tools
  • Design experiments and evaluations that improve AI system performance and user outcomes
  • Help define how companies operate with AI coworkers and automated workflows

What We’re Looking For

Must Have:

  • Strong product analytics or data science experience
  • Deep curiosity about AI systems and how they change how work gets done
  • Ability to work closely with product and engineering teams in 0→1 product environments
  • Strong analytical skills (experimentation, behavioural analysis, product metrics)
  • Builder mindset — someone who wants to shape products, not just analyse them

Nice to Have:

  • Experience with B2B SaaS or enterprise analytics
  • Experience with developer platforms, APIs, or technical products
  • Background in AI/ML systems, agent frameworks, or LLM-based products
  • Systems thinking around how complex tools and workflows operate at scale

Who Thrives Here:

  • AI-native — actively experimenting with and building with AI tools
  • Product thinkers who want to shape the future of work
  • Builders who enjoy early-stage ambiguity and 0→1 problems
  • Operators who can work independently and drive large parts of a product area

Impact

You will help define:

  • How organisations deploy and manage AI agents
  • How AI transforms enterprise productivity
  • The measurement systems behind AI-native companies
  • This is an opportunity to help create the “Codex moment” for non-coding work — defining how businesses operate in an AI-first world.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

XML job scraping automation by YubHub

]]> full-time senior onsite $293K – $515K • Offers Equity product analytics, data science, AI systems, agent frameworks, LLM-based products, developer platforms, APIs, technical products, B2B SaaS, enterprise analytics, systems thinking, AI/ML systems, agent orchestration, enterprise workflows, AI productivity tools, experimentation, behavioural analysis, product metrics Engineering Technology OpenAI https://logos.yubhub.co/openai.com.png OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. https://jobs.ashbyhq.com https://jobs.ashbyhq.com/openai/681f9b48-0ebb-451d-ab79-103b4379db27 San Francisco; New York City 2026-03-06