About the Role

We're a small, early-stage team building an AI-driven pricing and monetization platform for B2B companies — helping them move from static, one-off pricing exercises to a continuously improving, data-informed pricing lifecycle. Our platform spans scenario simulation, willingness-to-pay analysis, smart quoting, and real-time deal coaching.

As a Founding Product Engineer, you'll own entire product modules end-to-end — from scoping with customers through architecture, implementation, and iteration. You'll work shoulder-to-shoulder with leadership and customers, make key architectural decisions, and help establish engineering culture on a small team where every line of code matters. This is a highly hands-on, high-ownership role in San Francisco.

What You'll Do

Own whole product modules end-to-end: scope requirements with customers, design versioned APIs, build the UI, ship to production, and iterate.
Design and evolve architecture for agentic AI systems across Slack bots, terminal UIs, web interfaces, and vendor integrations.
Ensure features are drivable by LLM agents via MCP/FastMCP server endpoints and conversational interfaces.
Move pricing and business logic off the client into robust backend services to preserve financial fidelity.
Extend and maintain a typed pricing ontology (Pydantic models for SKU, Proposition, Persona, Pricing, Customer, Contract, Quote, etc.).
Lead technical discussions and architectural reviews 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 set engineering best practices and culture.
Treat money-handling code as load-bearing infrastructure; prioritize root-cause analysis for production issues.
Champion and continuously improve an AI-native SDLC where agents assist with code generation and automated review gates.

What We're Looking For

Required

8+ years of software engineering experience with a track record of owning and delivering entire product areas at startup or staff-level scope.
Deep backend expertise: production experience with FastAPI, Python, and MongoDB (or a closely comparable stack).
Credible full-stack range: ability to ship polished React + TypeScript UI components independently.
Demonstrated ability to take ambiguous customer problems all the way to shipped features — without a dedicated PM.
Experience designing REST or GraphQL APIs with clear contracts and versioning strategies.
Experience building or integrating AI-assisted features and agent-driven workflows (LLM-driven interfaces, tool-calling endpoints, etc.).
Familiarity with B2B SaaS monetization concepts: pricing models, packaging, quoting, or CPQ.
High standards for correctness, especially in financial logic.
Must be legally authorized to work in the United States — no visa sponsorship available.

Nice to Have

Experience building MCP servers or tooling specifically for LLM agents.
Background in billing, CPQ, metering, or pricing systems.
Experience with data-dense frontend components and/or conversational interfaces.
Familiarity with data residency requirements, SOC2/GDPR constraints, and compliant development practices.
Prior experience as a technical founder, co-founder, or very early employee who shipped a 0-to-1 B2B product to paying customers.

Compensation & Benefits

Salary: $200,000 – $250,000 USD per year
Early-stage equity commensurate with a founding team role
Opportunity to shape product strategy, engineering culture, and team growth from the ground up

Location

This is an on-site role based in San Francisco, CA. Remote candidates will not be considered. We believe in-person collaboration is core to how we build at this stage.

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