Member of Technical Staff - Full-Stack

About the Role This is a full-stack individual contributor role at a fast-moving AI/ML startup (~20 people) building a multi-agent simulation engine that predicts how real users respond to digital products — before anything ships. Think of it as replacing guesswork in product decisions with behavioral simulation at scale. As a Member of Technical Staff (Full-Stack), you'll own the bridge between complex backend systems — multi-agent simulations, evaluation pipelines — and the frontend experiences customers use to decide what to build next. You'll ship on a bi-weekly cadence and help define engineering best practices as the team scales. What You'll Do Core platform: Build and evolve the Python-based platform where customers design experiments, run simulations, explore behavioral outputs, and make product decisions. Agent-to-product translation: Turn raw agent behavior into product functionality — bridging "what the system did" and "what the user should do next." Observability tooling: Build tooling that makes the simulation system understandable, debuggable, and trustworthy for end users. UX definition: Help define how users interact with simulations and surface insights to drive decisions. End-to-end ownership: Own features from backend through frontend to user impact; ship iterations bi-weekly and help establish engineering standards as the team grows. What We're Looking For Required 8+ years of experience building production systems end-to-end across the full stack (backend and frontend) Strong proficiency in Python; comfortable building platform-level features for data-intensive, simulation-driven products Hands-on experience with agentic or LLM-powered systems, or AI-driven product features Demonstrated ability to own features end-to-end and ship on short, iterative cycles Product engineering mindset — you build for user outcomes, not just technical correctness Humility, coachability, and low ego; you take and give feedback openly and thrive in collaborative, cross-functional environments Individual contributor focus — no people-management responsibilities at this stage Must be eligible to work in the United States without visa sponsorship Nice to Have Experience building internal tooling or complex product workflows Background in highly regulated or data-sensitive environments Non-traditional or self-taught engineering background — diverse paths are welcome Compensation & Benefits Salary: $180,000 – $200,000 USD annually Equity participation Competitive benefits package Location This role is based in San Francisco, CA (hybrid on-site schedule at SF HQ). Candidates must be located in or willing to relocate to the San Francisco Bay Area. Visa sponsorship is not available.