Founding Product Engineer

Clera

  • San Francisco, California
  • 26 days ago

    Highlights

    We're a small, fast-moving team building an AI-driven pricing and monetization platform that helps B2B companies continuously optimize their pricing strategy — from packaging and willingness-to-pay analysis to deal quoting, discount governance, and CPQ workflows. You'll collaborate closely with customers, product, and leadership — and be expected to take ambiguous problems all the way to shipped, production-quality features.

    Numbers & Facts

    LocationSan Francisco, California
    Websitehttps://www.getclera.com/

    Description

    About the Role

    We're a small, fast-moving team building an AI-driven pricing and monetization platform that helps B2B companies continuously optimize their pricing strategy — from packaging and willingness-to-pay analysis to deal quoting, discount governance, and CPQ workflows. We're looking for a Founding Product Engineer to own entire product modules end-to-end, work directly with customers, and help set the technical and engineering culture of the company.

    This is a hands-on, high-ownership role at the founding-team level. You'll collaborate closely with customers, product, and leadership — and be expected to take ambiguous problems all the way to shipped, production-quality features. Financial logic correctness, AI-native tooling, and clean API design are first-class priorities here.

    What You'll Do

    • Own whole product modules end-to-end: scope with customers, design versioned APIs, build the UI, ship, and iterate.

    • Design and evolve architecture for agentic AI systems spanning Slack bots, terminal UIs, web interfaces, and vendor integrations.

    • Ensure product features are drivable by LLM agents via MCP/FastMCP servers and conversational interfaces.

    • Move pricing and business logic off the client into backend services to preserve financial fidelity.

    • Extend and maintain a typed pricing ontology (Pydantic models for SKUs, propositions, personas, pricing structures, 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 shape engineering culture and best practices.

    • Treat money-handling code as load-bearing infrastructure; prioritize root-cause analysis for production issues.

    • Adopt and improve an AI-native SDLC where agents assist with code and automated review gates.

    What We're Looking For

    Required

    • 8+ years of engineering experience with strong full-stack skills and proven ownership of product areas at startup or staff engineer scope.

    • Deep backend expertise — experience with FastAPI, Python, and MongoDB or a comparable modern stack.

    • Credible frontend skills with React and TypeScript; able to ship a clean, polished UI independently.

    • Track record of taking ambiguous customer problems to shipped features without a dedicated PM.

    • Experience designing and building REST or GraphQL APIs with clear contracts and versioning.

    • High standards for correctness, especially around financial or pricing logic.

    • Must be legally authorized to work in the US — no visa sponsorship is available.

    Nice to Have

    • Interest or hands-on experience in B2B monetization: pricing models, packaging, quoting, billing, or CPQ.

    • Familiarity with AI-assisted development tools (e.g. Cursor, Copilot) and experience integrating LLM agent tooling or MCP-like servers.

    • Prior experience as an early or founding engineer at a startup.

    Compensation & Benefits

    • Salary: $200,000 – $250,000 USD annually

    • Early-employee equity commensurate with founding-team scope

    • Opportunity to shape product, architecture, and engineering culture from the ground up

    Location

    This role is on-site in San Francisco, CA. Remote or fully distributed arrangements are not available for this position.

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