Clera
Founding Product Engineer
About this role
Join a seed-stage AI pricing platform as a Founding Product Engineer in San Francisco. You'll own full product modules end-to-end, architecting systems for agentic AI workflows while ensuring financial correctness in a B2B SaaS context. This is a hands-on role combining backend infrastructure, full-stack development, and direct customer engagement.
What you'll do
- Own entire product modules end-to-end: scoping, API design, UI implementation, shipping, and iteration without PM support
- 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 servers and conversational interfaces
- Move pricing and business logic to robust backend services using typed Pydantic models for SKU, Proposition, Persona, and Pricing entities
- Lead architectural reviews and establish testing, observability, deployment, and performance monitoring practices for AI-driven features
- Gather customer requirements directly and translate them into shipped product specifications with high standards for financial correctness
What they're looking for
- FastAPI and Python backend development
- MongoDB or comparable database systems
- React and TypeScript frontend development
- REST/GraphQL API design and versioning
- LLM agent integration and MCP server implementation
- B2B SaaS monetization concepts (pricing, packaging, CPQ, quoting)
- Full-stack product ownership and customer discovery
- Financial logic implementation and correctness verification
Benefits
- Salary: $200,000–$250,000 USD annually, based on experience
- Early-stage equity as a founding team member
- Direct influence on product direction and engineering culture
- On-site collaboration in San Francisco with a small, fast-moving team
- High ownership of significant product surface area from day one
- Opportunity to shape AI-native SDLC practices
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Clera
Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.
View all jobs at CleraLikely interview questions
- Tell us about a time you owned a full product module end-to-end at a startup — how did you scope it, and what trade-offs did you make?
- Describe your experience building or integrating LLM agent workflows. What challenges did you encounter around reliability and correctness?