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This listing was closed on Aug 19, 2026.
Browse Open JobsSoftware Engineer, Product - Core Experimentation
Summary by AIEngineer.careers
Software Engineer, Product - Core Experimentation is a Software Engineer role (full-time). with OpenAI. in SEATTLE, US. Compensation shown: $293K–$324K. Imported listing (source: jobs-radar.com). Apply on the employer's site (jobs-radar.com).
Imported listing (source: jobs-radar.com) · Apply on jobs-radar.com
SEATTLE · US
$293K–$324K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobs-radar.com
OpenAI seeks a product engineer for the Statsig team to build experimentation, feature rollout, and analytics systems that help ship products with speed and safety. The role involves working across frontend, backend, SDK, data, and infrastructure to make complex workflows simple for product teams.
Responsibilities
- Build product experiences and platform capabilities for experimentation, feature flags, dynamic configuration, rollout safety, and analytics.
- Partner with product teams to understand launch workflows and measurement needs, turning insights into durable platform features.
- Improve SDK and server-side systems for fast, reliable, and safe experimentation and configuration.
- Design workflows that simplify creating experiments, interpreting results, monitoring rollouts, and adjusting launches.
Requirements
- Strong full-stack engineering judgment and experience building product surfaces on serious platform and infrastructure constraints.
- Deep care for developer experience and ability to make complex concepts intuitive.
- Experience with systems where performance, reliability, and product quality matter simultaneously.
- Ability to move between customer conversations, product design, backend architecture, SDK behavior, and data-informed decisions.
OpenAI
San Francisco · US · 7850+ employees
OpenAI is an AI research and deployment company that develops large-scale artificial intelligence models and safety systems. It focuses on advancing artificial general intelligence through research, product development, and collaborative partnerships.
