Join a small B2B SaaS team building AI-powered pricing and monetization software. In this hands-on role, you will own product modules from customer discovery through launch, shaping reliable systems for complex pricing workflows.
Scope product problems with customers, then design versioned APIs, build user interfaces, launch complete modules, and iterate on feedback.
Design and evolve architecture for AI-enabled experiences across web, conversational interfaces, command-line tools, and vendor integrations.
Make product features accessible to LLM agents through agent tooling and conversational workflows.
Move pricing and business logic into backend services to protect financial accuracy.
Extend typed pricing data models and establish testing, observability, deployment, and performance practices.
Lead architectural discussions, investigate production issues, mentor teammates, and improve engineering practices.
At least 8 years of software engineering experience, including startup experience owning and delivering full product areas at staff-level scope.
Strong backend experience with Python, FastAPI, and MongoDB or comparable technologies, plus experience designing server-side business logic and versioned APIs.
Hands-on React and TypeScript skills, including the ability to independently deliver a polished user interface.
A track record of turning ambiguous customer needs into shipped products, including customer discovery, data modeling, and end-to-end delivery.
Experience with AI-enabled products or agent workflows; familiarity with MCP-style tooling is beneficial.
Interest or experience in B2B SaaS monetization, including pricing, packaging, quoting, billing, or CPQ.
Strong attention to correctness, particularly in financial logic, and US work authorization without visa sponsorship.
Base salary: $200,000 to $250,000 annually. Visa sponsorship is not available.
On-site in San Francisco, California. Candidates must be based in or willing to relocate to San Francisco.