Engineering Manager, Core Experimentation

Role details

ABOUT THE TEAM The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams learn from real-world usage and make high-confidence decisions. Statsig began as an independent company focused on helping builders move faster through trustworthy experimentation and feature management. After joining OpenAI, the team began its next chapter: bringing deep product expertise, customer intuition, and mature platform infrastructure into the product development system used by every OpenAI team. Today, teams across ChatGPT, Codex, model measurement, consumer monetization, business subscriptions, developer products, and shared infrastructure rely on Statsig to safely introduce new capabilities, measure impact, and roll changes forward or back with confidence. We are at a defining moment as adoption accelerates and the platform becomes a company-wide standard. ABOUT THE ROLE We are looking for an Engineering Manager, Statsig Product to lead the product engineering organization responsible for Statsig’s post-acquisition journey at OpenAI. You will define how experimentation, rollout, configuration, and analytics become a simple, reliable, and trusted part of how every OpenAI product team ships. You will set strategy across multiple product and platform workstreams, build the organization and leadership structure needed for the next phase, and establish the operating model for a platform that serves teams across the company. The right leader can operate across product strategy, technical architecture, organizational design, developer experience, reliability, and executive alignment. You will help preserve what made Statsig strong while integrating it deeply into how OpenAI launches, measures, learns, and makes product decisions. IN THIS ROLE, YOU WILL: - Build, lead, and scale a high-performing product engineering organization, including managers, senior technical leaders, and product-platform engineers. - Define the multi-year product engineering strategy for experimentation, feature flags, dynamic configuration, rollout safety, and analytics. - Establish clear ownership, operating mechanisms, planning processes, and execution standards across Statsig product workstreams. - Partner with leaders across ChatGPT, Codex, model measurement, ads, subscriptions, developer products, research, data, and infrastructure. - Translate recurring launch, measurement, and experimentation needs into durable platform capabilities that serve the broader company. - Guide technical direction across frontend, backend, SDK, data, analytics, and infrastructure surfaces. - Balance rapid adoption with reliability, performance, correctness, usability, and safety. - Serve as a senior escalation point for complex product-platform tradeoffs, integration decisions, and cross-company prioritization. - Build a strong leadership bench and create an organization that can scale as Statsig becomes core infrastructure for OpenAI product development. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have substantial engineering leadership experience, including leading managers or multiple engineering teams. - Have built or scaled product, experimentation, analytics, developer tools, growth platform, or internal platform organizations. - Bring strong product sense and can turn ambiguous customer workflows into durable platform strategy. - Can set direction across multiple workstreams while giving teams clear ownership and autonomy. - Have a track record of building strong leadership teams, hiring senior talent, and developing managers. - Can operate credibly with senior product, engineering, research, data, and infrastructure leaders. - Understand how to balance product quality, developer experience, reliability, performance, and adoption. - Are comfortable leading through high ambiguity, organizational change, and post-acquisition integration. - Want to shape one of the highest-leverage product platforms inside OpenAI. SUCCESS IN THIS ROLE LOOKS LIKE: - A strong Statsig Product Engineering organization is built with clear leadership, ownership, priorities, and execution mechanisms. - Statsig has a coherent product and engineering strategy that serves teams across OpenAI. - Product teams can launch progressively, measure clearly, and make faster, higher-confidence decisions. - The platform becomes more reliable, easier to use, and more valuable as adoption scales. - Senior cross-functional partners trust the organization to turn company-wide needs into reusable platform capabilities. - Statsig becomes a core part of how OpenAI ships safely, learns quickly, and improves products at scale. 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 https://cdn.openai.com/policies/eeo-policy-statement.pdf. 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, inclu