# Founding Product Engineer at Clera

Founding Product Engineer at Clera in San Francisco. On-site, full-time, paying $200k–$250k. Posted August 1, 2026.

- Company: Clera
- Location: San Francisco
- Workplace: On-site
- Job type: Full-time
- Pay: $200k–$250k
- Experience: 8+ years
- Posted: 2026-08-01
- Apply: https://jobs.ashbyhq.com/clera/a314ddef-7c8e-45de-a7e7-fa159d0af0e1/application
- Source: https://jobmagic.ai/jobs/founding-product-engineer-clera-bqb61m

## Requirements

- 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.

## 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.
