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
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Scope product problems with customers, then design versioned APIs, build user interfaces, launch complete modules, and iterate on them.
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Design and evolve architecture for AI-enabled workflows across web interfaces, conversational tools, and integrations.
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Make product capabilities accessible to LLM agents through agent interfaces and server tooling.
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Move pricing and business logic into backend services to preserve financial accuracy.
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Extend typed data models for pricing concepts and related product entities.
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Set and maintain practices for testing, observability, deployment, security, and performance.
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Lead technical reviews, mentor colleagues, and investigate production incidents involving financial logic.
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Improve development workflows that use AI coding tools with appropriate review and quality controls.
What We're Looking For
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At least 8 years of software engineering experience, including startup experience owning and delivering full product areas.
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Strong backend experience with Python, FastAPI, and MongoDB or comparable technologies, plus production API and data-model design experience.
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Practical React and TypeScript skills, including the ability to independently deliver polished interfaces.
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Experience taking ambiguous customer needs through scoping and delivery, with limited product-management support.
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Background in B2B SaaS pricing, packaging, quoting, billing, or monetization systems.
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Experience with financial correctness, safe numerical and timezone handling, and resolving customer-impacting production issues.
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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.
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