Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Hiring @ 6
Leadership @ 3
Prioritization @ 3
Experimentation @ 3
ChatGPT @ 3
Codex @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
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.
Location and workplace
- Seattle
- Workplace type: Hybrid
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 / What will help you thrive
- 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 the ability to turn ambiguous customer workflows into durable platform strategy.
- Ability to set direction across multiple workstreams while giving teams clear ownership and autonomy.
- 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.
- Understanding of how to balance product quality, developer experience, reliability, performance, and adoption.
- Comfort leading through high ambiguity, organizational change, and post-acquisition integration.
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 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.
Background checks for applicants will be administered in accordance with applicable law. We are committed to providing reasonable accommodations to applicants with disabilities.
Benefits
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts.
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit).
- 401(k) retirement plan with employer match.
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks).
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees.
- 13+ paid company holidays and multiple paid coordinated company office closures, plus paid sick or safe time.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily meals in offices, and meal delivery credits as eligible.
- Relocation support for eligible employees.
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends.