About the Role
Join a small team building AI-driven pricing and monetization software for businesses. You will own product areas end to end, combining customer discovery, technical leadership, and hands-on engineering to deliver dependable features where financial accuracy is essential.
What You'll Do
Scope product problems with customers, then design versioned APIs, build user interfaces, launch complete modules, and iterate on them.
Design and evolve architecture for AI-enabled workflows across web interfaces, conversational tools, and integrations.
Make product capabilities accessible to LLM agents through agent interfaces and server tooling.
Move pricing and business logic into backend services to preserve financial accuracy.
Extend typed data models for pricing concepts and related product entities.
Set and maintain practices for testing, observability, deployment, security, and performance.
Lead technical reviews, mentor colleagues, and investigate production incidents involving financial logic.
Improve development workflows that use AI coding tools with appropriate review and quality controls.
What We're Looking For
At least 8 years of software engineering experience, including startup experience owning and delivering full product areas.
Strong backend experience with Python, FastAPI, and MongoDB or comparable technologies, plus production API and data-model design experience.
Practical React and TypeScript skills, including the ability to independently deliver polished interfaces.
Experience taking ambiguous customer needs through scoping and delivery, with limited product-management support.
Background in B2B SaaS pricing, packaging, quoting, billing, or monetization systems.
Experience with financial correctness, safe numerical and timezone handling, and resolving customer-impacting production issues.
Familiarity with AI-enabled product features, LLM agent workflows, or agent tooling; experience with MCP-like servers is a plus.
Compensation & Benefits
Base salary: $200,000 to $250,000 annually. Visa sponsorship is not available; US work authorization is required.
Location
On-site in San Francisco, California. Candidates must be based in the area or willing to relocate.