Frontier AI Research · San Francisco
About the Team
OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals together to advance AI responsibly and ensure its benefits are broadly shared.
OpenAI’s Go-To-Market (GTM) Partnerships team builds and scales a global ecosystem of strategic partners that accelerate AI adoption, expand customer impact, and extend OpenAI’s reach across industries and geographies. As the Partnerships organization rapidly expands, data has become a critical strategic asset. The ability to accurately measure partner influence, attribute customer outcomes, track performance against targets, and administer partner incentives is foundational to how OpenAI scales its ecosystem.
The Partner Business Intelligence team sits at the center of this effort, building the data infrastructure, attribution systems, reporting frameworks, and analytical foundations that power decision-making across the Partnerships organization.
About the Role
We are seeking a highly technical and business-minded leader to build and own the data foundation of OpenAI’s global Partnerships organization.
This role will be responsible for designing, building, and governing the Partnerships data model that serves as the source of truth for partner performance, attribution, pipeline influence, partner-sourced and partner-influenced revenue, incentive programs, forecasting, and executive reporting.
You will own the end-to-end architecture that powers how OpenAI measures partner impact internally and how we communicate performance externally to partners. This includes designing attribution methodologies, defining performance metrics, building scalable data pipelines, establishing reporting frameworks, and creating the infrastructure that supports partner incentive calculations and payouts.
This is a uniquely high-impact role. As OpenAI scales its partner ecosystem, the accuracy and integrity of our attribution framework will directly influence hundreds of millions of dollars in partner incentives and strategic investments. Over the next year, we expect approximately $XXXM in partner incentives, with roughly $XXXM directly dependent on the attribution systems and performance infrastructure owned by this team.
The ideal candidate combines deep expertise in analytics engineering, business intelligence, data modeling, and executive stakeholder management with the ability to translate complex business relationships into scalable and auditable systems.
In This Role, You Will
Design and maintain the canonical Partnerships data model across partners, opportunities, customers, revenue, incentives, competencies, activities, and performance metrics
Establish the authoritative source of truth for partner-sourced, partner-influenced, co-sell, marketplace, and ecosystem-driven business
Define data governance standards, metric definitions, and reporting methodologies across the Partnerships organization
Create scalable frameworks that support evolving partner motions, business models, and incentive structures
Design and continuously evolve OpenAI’s partner attribution methodology across complex multi-party sales motions
Build the systems and logic used to measure partner contribution throughout the customer lifecycle
Create auditable frameworks for determining partner influence, sourcing, acceleration, and value creation
Partner closely with Finance, Revenue Operations, and Partnerships leadership to ensure attribution methodologies are trusted, scalable, and financially defensible
Develop the measurement systems that underpin partner incentive programs and financial payouts
Create scalable processes for incentive calculation, validation, reconciliation, and reporting
Ensure incentive-related metrics are transparent, explainable, and auditable
Support forecasting and planning processes tied to partner investment and incentive budgets
Build dashboards, reporting frameworks, and analytical tools used by executive leadership and field teams
Define and track partner performance targets, KPIs, and organizational scorecards
Develop forecasting models that support strategic planning and investment decisions
Generate insights that drive ecosystem growth, partner productivity, and GTM effectiveness
Design partner-facing reporting experiences and data products
Establish frameworks for sharing performance metrics and business outcomes with strategic partners
Balance internal operational requirements with external partner reporting needs
Create scalable approaches for delivering trusted and actionable data to ecosystem stakeholders
Collaborate closely with Partnerships, Revenue Operations, Finance, Data Engineering, Systems, Product, and Strategic Finance teams
Translate business requirements into scalable technical solutions
Drive alignment around metric definitions, attribution methodologies, and reporting standards
Serve as the primary authority on Partnerships data architecture and performance measurement
You Might Thrive In This Role If You Have
8+ years of experience in business intelligence, analytics engineering, data engineering, revenue operations, or related analytical functions
Extensive experience designing complex data models and scalable reporting architectures
Deep expertise in SQL, data warehousing, business intelligence platforms, and modern analytics stacks
Experience building attribution frameworks for complex enterprise GTM motions
Strong understanding of revenue operations, sales analytics, pipeline management, and performance measurement
Experience designing incentive measurement systems, commission frameworks, or financial attribution models
Ability to translate ambiguous business problems into rigorous analytical frameworks
Strong understanding of data governance, metric standardization, and executive reporting
Experience working with large-scale SaaS, cloud, platform, marketplace, or ecosystem business models
Exceptional stakeholder management skills and ability to influence executive-level decision-making
Experience working with highly cross-functional organizations spanning Finance, Operations, GTM, and Product teams
Strong bias toward building durable systems rather than one-off analyses
What This Role Will Accomplish
Establish a trusted and scalable data foundation for measuring partner performance
Standardize attribution methodologies, metric definitions, and reporting across the organization
Enable consistent and accurate decision-making at every level of the Partnerships business
Create the systems used to administer hundreds of millions of dollars in partner incentives
Ensure incentive calculations are transparent, repeatable, and financially defensible
Reduce operational complexity while increasing confidence in partner payout processes
Provide leadership with visibility into ecosystem performance, investment effectiveness, and growth opportunities
Support increasingly sophisticated partner motions, incentive structures, and GTM strategies
Build infrastructure capable of scaling alongside OpenAI’s rapidly expanding partner ecosystem
Transform partner performance measurement from a collection of reports into a strategic data platform
Deliver insights that improve partner productivity, GTM execution, and ecosystem outcomes
Establish the analytical foundation that informs how OpenAI invests in and scales its partner business
Who This Role Will Work Closely With
Partner Directors and Ecosystem Leaders to define performance frameworks and attribution requirements
GTM Partnerships leadership to establish targets, reporting standards, and strategic KPIs
Revenue Operations teams to align opportunity management, pipeline reporting, and attribution methodologies
Strategic Finance to support forecasting, incentive planning, investment analysis, and executive reporting
Compensation and Incentives teams to ensure accurate payout calculations and governance
Data Engineering teams to build and maintain scalable pipelines and infrastructure
Business Systems teams to integrate CRM, PRM, financial, and operational systems
Analytics and Data Science teams to support advanced measurement and forecasting capabilities
Provide reporting, insights, and recommendations to senior GTM and OpenAI leadership
Support strategic planning and investment decisions with trusted analytical frameworks
Why This Role Matters
Own one of the most strategically important data domains at OpenAI
Build the attribution and measurement systems underpinning hundreds of millions of dollars in partner incentives and investments
Create the foundational data architecture for a rapidly scaling global Partnerships organization
Operate at the intersection of business strategy, data engineering, analytics, finance, and GTM execution
Solve industry-defining attribution and ecosystem measurement challenges in one of the fastest-growing AI businesses in the world
Directly influence how OpenAI measures, scales, and rewards partner-driven growth
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.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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