About the Role Join an early-stage B2B SaaS pricing company as a hands-on product engineer, owning complete product areas from customer discovery through launch and iteration. You will shape the architecture and engineering practices behind AI-driven pricing and monetization tools, where reliable financial logic and useful agent-driven workflows are essential. What You'll Do • Scope product needs with customers, design versioned APIs, build user interfaces, and deliver complete product modules. • Design and evolve systems for AI-driven workflows across web applications, conversational interfaces, and third-party integrations. • Make product features usable by LLM agents through MCP-compatible services and other agent tooling. • Move pricing and business logic into backend services to support accurate, dependable financial calculations. • Extend typed data models for pricing concepts and develop maintainable APIs and services. • Establish testing, observability, deployment, and performance practices for production systems. • Lead technical discussions, mentor teammates, and investigate production issues with a focus on root causes. What We're Looking For • At least 8 years of software engineering experience, including startup experience and staff-level ownership of product areas. • Strong backend skills with production experience in Python, FastAPI, and MongoDB or a comparable stack. • Practical React and TypeScript experience, including independently shipping polished user interfaces. • Experience taking ambiguous customer problems from scoping through delivery, including designing versioned APIs and data models. • Background integrating AI features or agent-driven workflows; MCP-like tooling experience is a plus. • Familiarity with B2B SaaS monetization, such as pricing, packaging, quoting, billing, or CPQ. • High standards for correctness in financial logic and authorization to work in the United States without visa sponsorship. Compensation & Benefits Salary range: $200,000 to $250,000 annually. Visa sponsorship is not available. Location On-site in San Francisco, California, United States.