Software Engineer, Product - Core Experimentation
Why This Job is Featured on The SaaS Jobs
This role sits at the intersection of SaaS product delivery and platform engineering: building the experimentation, feature rollout, and configuration layer that other teams depend on to ship changes safely. In modern SaaS, that internal platform often becomes the control plane for releasing, measuring, and governing product behavior across many surfaces, and the listing signals work that is central to how decisions get made at scale.
For a SaaS career, the durable value here is learning how high-leverage developer platforms are designed and operated when reliability and measurement are non-negotiable. The remit spans product workflows, SDK and server-side performance, and analytics-informed iteration, which maps closely to the skills needed in companies that run continuous delivery, subscription growth loops, and multi-product portfolios. Experience translating many teams’ launch needs into reusable primitives also travels well across B2B and consumer SaaS environments.
The fit is strongest for engineers who like building “for other builders” and can move between user-facing product design and deep systems constraints without losing clarity. It suits someone comfortable with ambiguous requirements, frequent cross-team collaboration, and owning platform capabilities that influence how others ship. The in-office Bellevue setup also signals a preference for hands-on, synchronous problem solving with close stakeholders.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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 Statsig joined OpenAI, the team began the next chapter: bringing that deep product expertise, customer intuition, and mature platform infrastructure into OpenAI as the experimentation and rollout platform for every product we ship.
Today, we support teams across ChatGPT, Codex, model measurement, consumer experiences including ads, business subscriptions, developer products, and the shared infrastructure that connects them. These teams rely on Statsig to safely introduce new capabilities, compare product and model behavior, measure impact, and roll changes forward or back with confidence.
We are at a defining moment in the platform journey. OpenAI has the data, product surface area, and pace of innovation to learn faster than almost any organization in the world, but that potential only becomes real if teams can experiment responsibly, measure clearly, and roll out changes safely. Adoption of the platform is accelerating rapidly across the company, and recent SDK and server-side infrastructure work has already produced measurable wins in latency, reliability, memory usage, and compute efficiency for important services.
Based out of OpenAI’s Bellevue office, we are a close-knit team that values in-person collaboration, urgency, craft, and impact. We build for other builders, and the best version of this team is one where every OpenAI product team can move faster because the experimentation and rollout layer is dependable, fast, and easy to use.
About the Role
We are looking for a product engineer to help build the systems that make experimentation and rollout a first-class capability across OpenAI. You will work across frontend, backend, SDK, data, and infrastructure surfaces, with a focus on making complex workflows feel simple for the teams shipping OpenAI’s most important products.
This role is not only about adding features to a platform. It is about shaping the operating system OpenAI uses to decide what to launch, how to learn from it, and how to protect users and products as we scale. OpenAI’s next phase depends on our ability to move quickly without losing rigor, and Statsig is one of the places where that balance becomes real.
You will collaborate closely with teams building ChatGPT, Codex, model measurement workflows, consumer monetization and ads, business subscription experiences, developer products, and shared infrastructure. You will translate their launch and measurement needs into platform capabilities that can support the full company, not just one-off use cases.
In This Role, You Will
Build product experiences and platform capabilities for experimentation, feature flags, dynamic configuration, rollout safety, and analytics.
Partner with product teams to understand launch workflows, measurement needs, and decision points, then turn those insights into durable platform features.
Improve SDK and server-side systems so experimentation and configuration are fast, reliable, and safe for high-scale OpenAI services.
Help teams across ChatGPT, Codex, model measurement, ads, business subscriptions, developer products, and infrastructure use Statsig effectively.
Design workflows that make it easier to create experiments, interpret results, monitor rollouts, and act quickly when a launch needs adjustment.
Contribute to the technical direction of a platform that must support rapid adoption, high availability, and increasingly sophisticated product and model evaluation needs.
Work from the Bellevue office with a team that values ownership, clear communication, and high-trust collaboration.
You Might Thrive In This Role If You
Have strong full-stack engineering judgment and enjoy building product surfaces that sit on top of serious platform and infrastructure constraints.
Care deeply about developer experience and can make powerful experimentation concepts feel intuitive to busy product teams.
Are excited by the post-acquisition chapter of a high-performing team: preserving what made Statsig strong while integrating deeply into OpenAI’s product development system.
Like working on systems where performance, reliability, and product quality all matter at the same time.
Can move between customer conversations, product design, backend architecture, SDK behavior, and data-informed decision making.
Want your work to influence how OpenAI ships across ChatGPT, Codex, model measurement, consumer monetization, business products, and future product surfaces.
Value in-person collaboration and want to help shape a growing Bellevue-based team.
Location and Workplace
This role is based in Bellevue, Washington. The team works in person and uses that time to move quickly, solve ambiguous problems together, and stay close to the product teams we support.
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.
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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.
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