Engineering Manager, Core Experimentation
OpenAI
Engineering Manager, Core Experimentation at OpenAI is a full time role based in Remote · Seattle, Washington, United States (remote). The listing states pay of $510k–$536k. It was published on 10 July 2026 and was open at last check.
| Role | Engineering Manager, Core Experimentation |
|---|---|
| Company | OpenAI |
| Location | Remote · Seattle, Washington, United States (remote) |
| Employment type | Full Time |
| Pay (as listed) | $510k–$536k |
| Published | 10 July 2026 |
| Status | Open at last check |
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.
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.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
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Create your free OnJob profile to apply — we'll take you to OpenAI's application after sign-up. · Posted 10 Jul 2026.
Engineering Manager, Core Experimentation at OpenAI — questions answered
What does the Engineering Manager, Core Experimentation role at OpenAI pay?
The Engineering Manager, Core Experimentation at OpenAI listing states pay of $510k–$536k for the Remote · Seattle, Washington, United States (remote) position. That figure is taken directly from the employer's own posting as published, not estimated or averaged from other roles.
Is the Engineering Manager, Core Experimentation role at OpenAI remote?
Yes — OpenAI advertises this Engineering Manager, Core Experimentation role as remote, tied to Remote · Seattle, Washington, United States, and it is listed as full time work. Remote terms come from the employer's own posting, so confirm the expected working hours, timezone and any on-site days with OpenAI before you apply.
Is the Engineering Manager, Core Experimentation role at OpenAI still open?
The Engineering Manager, Core Experimentation posting at OpenAI was open at OnJob's last check of the employer's careers page, having been published on 10 July 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
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