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Salary
$200k – $250k per year
Location
In office (San Francisco)
Seniority
Staff · 8+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Clera is a San Francisco-based AI recruiting and talent-matching platform designed as an AI talent agent for candidates and hiring teams. Acting as a tech-driven alternative to traditional headhunting, Clera directly connects job seekers to open roles at top startups backed by venture firms like Andreessen Horowitz (a16z), Y Combinator, Index Ventures, and General Catalyst.

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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