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About the Role
This founding-level, hands-on engineering role is at an early-stage B2B SaaS company building an AI-driven pricing and monetization platform. You will own entire product modules end-to-end, work directly with customers and leadership, and help shape the architecture and engineering culture of a small, fast-moving team. Financial precision and technical leadership are central to this role.
Responsibilities
- Scope, design, build, and iterate on whole product modules independently, from customer conversations through to shipped features.
- Design and evolve architecture for agentic AI systems across web, conversational, and vendor integration surfaces.
- Ensure product features are drivable by LLM agents via MCP-style servers and conversational interfaces.
- Move pricing and business logic off the client and into backend services to preserve financial fidelity.
- Extend and maintain a typed pricing ontology using Pydantic models covering entities such as SKU, Proposition, Persona, and Pricing.
- Lead architectural reviews and technical discussions to keep systems robust, extensible, and secure.
- Establish testing, observability, deployment, and performance monitoring practices for AI-driven features.
- Mentor peers, influence product strategy, and help set engineering culture and best practices.
- Treat money-handling code as load-bearing and prioritize thorough root-cause analysis for production issues.
- Adopt and improve an AI-native development workflow where agents assist with code and automated review gates.
Requirements
- 8 or more years of software engineering experience with proven ownership of product areas at startup or staff-level scope.
- Strong full-stack skills: deep backend expertise with FastAPI, Python, and MongoDB (or a comparable stack), plus credible React and TypeScript frontend range.
- Track record of taking ambiguous customer problems to shipped features without a dedicated PM.
- Experience building or integrating AI-assisted features and agent-driven workflows, including LLM-driven interfaces or MCP-style endpoints.
- Familiarity with B2B SaaS monetization concepts: pricing models, packaging, quoting, billing, or CPQ.
- High standards for correctness, especially in financial logic and money-handling code.
- Ability to design and ship versioned APIs and typed data models.
- Must be authorized to work in the United States; no visa sponsorship is available.
Skills
- FastAPI
- Python
- MongoDB
- React
- TypeScript
- LLM-driven interfaces
- MCP-style endpoints
- B2B SaaS monetization
- versioned APIs
- typed data models
- MCP servers
- billing systems
- metering systems
- CPQ systems
- data-dense frontend components
- conversational interfaces
Location
- San Francisco, CA
Work Type
- On-site
Experience Level
- Founding-level
- Startup
- Staff-level
Salary/Compensations
- $200,000 to $250,000 USD annually
Benefits
- Equity is expected given the founding-level scope.