Level

OpenAI

Engineering Manager, Core Experimentation

OpenAI is hiring an Engineering Manager, Core Experimentation for a remote role open to applicants in United States. It pays $510k-$536k a year and Level rates it ; you can apply on OpenAI.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include AI research, engineering management and experimentation.
  • Level classifies it as a lead role.
  • Level lists 792 other open roles at OpenAI.

AI in this role

Lead the product engineering organization for experimentation, feature flags, and analytics systems at OpenAI.

ai-researchengineering-managementexperimentationfeature-flagsanalyticsplatform-infrastructure

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.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

How we rate this

Engineering Manager, Core Experimentation at OpenAI rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI ResearchEngineering ManagementExperimentationFeature FlagsAnalyticsPlatform Infrastructure

Questions you could be asked

  1. Tell me about a research question you investigated. What did you find?
  2. Tell me about a project where engineering management was part of your work. What did you do?
  3. Tell me about a project where experimentation was part of your work. What did you do?
  4. Tell me about a project where feature flags was part of your work. What did you do?
  5. Tell me about a project where analytics was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Research, Engineering Management, Experimentation, Feature Flags, and Analytics. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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