Engineering Manager, Core Experimentation

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 chan