Product Manager, Statsig

San Francisco, US
Hybrid
Posted 4 weeks ago

About this role

About the Team

The [REDACTED] team is responsible for the experimentation, feature rollout, dynamic configuration, and analytics systems that help [REDACTED] ship products with speed, safety, and evidence. Teams across ChatGPT, Codex, model measurement, monetization, business subscriptions, developer products, and shared infrastructure rely on [REDACTED] to introduce capabilities safely, measure their impact, and make high-confidence product decisions.

About the Role

As a Product Lead on the [REDACTED] team, you will define how experimentation, rollout, configuration, and analytics become a simple, reliable, and trusted part of how every [REDACTED] product team ships. You will set strategy across multiple product and platform workstreams, translate company-wide needs into durable capabilities, and help [REDACTED] become a core part of [REDACTED]’s product development system.

We’re looking for a product leader who combines strong product judgment, technical fluency, and deep analytical thinking. You should be comfortable navigating ambiguous customer needs, influencing teams across the company, and balancing rapid adoption with reliability, usability, and measurement quality.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Travel requirements should be confirmed with the recruiter before publishing.

In this role, you will:

  • Define the product vision, strategy, and roadmap for experimentation, feature management, dynamic configuration, rollout safety, and analytics.
  • Partner with product, engineering, research, data, design, and infrastructure leaders to turn recurring launch and measurement needs into reusable platform capabilities.
  • Develop a deep understanding of workflows across ChatGPT, Codex, model measurement, monetization, subscriptions, and developer products, then establish clear priorities across competing needs.
  • Drive adoption by making sophisticated experimentation and analytics capabilities intuitive, trustworthy, and easy to integrate into product development.
  • Establish goals, success metrics, planning mechanisms, and operating cadences that help the team execute effectively.
  • Balance speed and product quality with reliability, correctness, developer experience, performance, and safety.

You might thrive in this role if you:

  • Have led product strategy for technical, data-intensive, or platform products serving many internal or external customers.
  • Bring strong product sense and can translate ambiguous workflows into a clear strategy, roadmap, and set of durable product investments.
  • Are technically fluent across experimentation, analytics, data platforms, APIs, developer tools, or adjacent infrastructure.
  • Have a track record of influencing senior product, engineering, research, data, and infrastructure partners without relying on direct authority.
  • Can use qualitative customer insight and quantitative evidence to set priorities and evaluate product impact.
  • Are comfortable operating through high ambiguity, rapid growth, organizational change, and evolving customer needs.
  • Have experience with experimentation platforms, feature flagging, product analytics, growth systems, or data products. This is helpful but not a must have.

About [REDACTED]

[REDACTED] 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 [REDACTED]’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 [REDACTED] 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.

[REDACTED] Global Applicant Privacy Policy

At [REDACTED], 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.

Benefits & Perks

Hybrid work
Relocation assistance

Recommended Skills for this Position

Feature Prioritization
Cross-Functional Collaboration
Stakeholder Communication and Influence
UX Strategy
Data-Driven Design
Design Metrics and KPIs
Qualitative Research Methods
Quantitative Research Methods
User Research
Systems Thinking
Human-Centered Design

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