7 hours ago
Base Salary
$200k - $250k/yr
Responsibilities
- Own the scoping, design, development, and iteration of complete product modules in collaboration with customers.
- Design and evolve architecture for agentic AI systems across conversational interfaces, web, terminal UIs, and vendor integrations.
- Build MCP-style server endpoints and conversational interfaces that enable features to be driven by LLM agents.
- Move pricing and business logic into backend services to preserve financial correctness.
- Extend and maintain Pydantic-based pricing ontology models for SKUs, propositions, personas, and pricing structures.
- Lead architectural reviews and establish standards for testing, observability, deployment, and performance monitoring.
- Mentor peers, shape product strategy, and help establish engineering culture and best practices.
- Perform root-cause analysis for production issues and maintain high standards for money-handling code.
- Work within an AI-native software development lifecycle using agent-assisted code generation and automated review gates.
Requirements
- 8+ years of software engineering experience with ownership of full product areas at startup or staff-level scope.
- Deep backend expertise with production experience in FastAPI, Python, and MongoDB or a comparable stack.
- Ability to design versioned APIs and independently ship React and TypeScript user interfaces.
- Experience taking ambiguous customer problems to shipped features without a dedicated product manager.
- Experience with B2B SaaS monetization concepts such as pricing models, packaging, quoting, or CPQ.
- Experience building or integrating LLM-driven features, agent workflows, or MCP-like tooling servers.
- Strong standards for correctness, particularly in financial logic.
- Prior experience as an early employee or technical founder who shipped a 0-to-1 B2B product is preferred.
- Familiarity with SOC 2, GDPR, or data residency constraints is preferred.
- Must be authorized to work in the United States.
Benefits
- On-site role in San Francisco, California.
- Candidates must already be based in San Francisco or be willing to relocate.
- No visa sponsorship is available.
