Engineering Manager, Core Experimentation
Lead the product engineering organization for Statsig at OpenAI, defining strategy for experimentation, feature rollout, configuration, and analytics platforms. Build and scale leadership teams while partnering with product, research, and infrastructure groups to turn launch and measurement needs into reliable company-wide capabilities.
About the job
Responsibilities
- 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.
Requirements
- Substantial engineering leadership experience, including leading managers or multiple engineering teams.
- Experience building or scaling product, experimentation, analytics, developer tools, growth platform, or internal platform organizations.
- Strong product sense and ability to turn ambiguous customer workflows into durable platform strategy.
- Track record of building strong leadership teams, hiring senior talent, and developing managers.
- Ability to operate credibly with senior product, engineering, research, data, and infrastructure leaders.
- Experience balancing product quality, developer experience, reliability, performance, and adoption.
- Comfort leading through high ambiguity, organizational change, and post-acquisition integration.
Nice-to-Haves
- Experience with experimentation, feature flags, dynamic configuration, rollout safety, or analytics platforms.
Skills
Experimentation Platforms, Feature Flags, Dynamic Configuration, Analytics Systems, Frontend Engineering, Backend Engineering, Sdk Development, Data Infrastructure, Platform Strategy, Technical Leadership, Organizational Design, Developer Experience
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