Data Scientist, GTM Growth Products

About the role

We are hiring a Data Scientist to support GTM Growth Products a cross-functional team building the internal systems that turn OpenAIs technology into measurable revenue leverage.

Our mandate is to prove what an AI-native revenue organization can become: one where every signal workflow and customer moment can be understood acted on and improved by agents and humans together. We build systems that help GTM scale faster than headcount by finding opportunity automating low-complexity work routing judgment-heavy work to the right human and learning from every outcome.

The team is focused on live GTM workflows across agentic sales prospecting routing workflows sales policy operations measurement attribution and continuous learning loops.

In this role you will be embedded with Product Engineering and GTM partners to ensure these systems drive measurable business outcomes: ARR pipeline conversion automation and operating efficiency.

What Youll Do

• Define north-star leading and guardrail metrics for agentic revenue systems including agentic ARR incremental pipeline conversion lift automation rate response time hours saved and operating efficiency.

• Design measurement and experimentation frameworks for always-on GTM systems using holdouts staged rollouts quasi-experimental methods and launch-specific decision criteria where traditional A/B testing is not enough.

• Partner with PMs and engineers to instrument evaluate and monitor launches so every meaningful release has observability and a credible read on incremental value.

• Translate messy account person product behavioral and model-driven signals into decisions about what to automate what to route where humans should intervene and what the system should learn next.

• Build repeatable decision loops from pre-launch criteria to post-launch readout to shipped product policy or operational changes.

• Develop dashboards readouts and evaluation systems that help GTM leaders DS PM and engineering teams understand where automation is creating leverage and where quality policy or workflow design needs to improve.

• Work across GTM Growth RevOps Data Sales and partnered Engineering teams to connect product changes to business outcomes.

What Were Looking For

• 10 years in a quantitative role such as Data Science Product Analytics Decision Science or Applied Statistics ideally at a product-led company supporting B2B growth revenue systems sales lifecycle or scaled self-serve motions.

• Deep grounding in experimentation causal inference and applied statistics with experience designing and interpreting tests in real-world always-on environments.

• Strong technical fluency in SQL and Python including working directly with messy incomplete operational and behavioral data to extract signal and quantify impact.

• Proven track record translating analysis into shipped decisions not just readouts: changes to product routing targeting automation policy workflow design or GTM strategy.

• Strong business judgment and a bias toward action. You can scope ambiguous problems define success choose the highest-leverage measurement path and move quickly from insight to decision.

• Systems thinking and technical maturity. You can reason about agents workflows instrumentation data quality human review feedback loops and operational constraints together.

• Excellent communication and cross-functional partnership. You can influence PMs engineers GTM operators DS peers and senior leaders with clear recommendations and practical tradeoffs.

Nice to Have

• Experience with LLMs AI agents agent evaluation or AI-assisted operations platforms.

• Experience with sales prospecting RevOps lifecycle support routing prioritization or operational automation systems.

• Experience building measurement experimentation observability or attribution frameworks from scratch in early-stage or rapidly evolving environments.

• Familiarity with B2B SMB SDR sales-assist or marketplace-style GTM motions.

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 OpenAIs 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 addition job duties require access to secure and protected information technology systems and related data security obligations.

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IC