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Clera

Founding Product Engineer

San Francisco$200k–$250kfulltimemidAdded today

About this role

Join an early-stage AI-native B2B SaaS company as a Founding Product Engineer to build an AI-driven pricing and monetization platform. You'll own full product modules end-to-end, architect agentic AI systems, and move financial logic server-side while ensuring features are LLM-agent-driven.

What you'll do

  • Own complete product modules from customer scoping through API design, React UI development, and production deployment
  • Design and evolve architecture for agentic AI systems across Slack bots, terminal UIs, web interfaces, and vendor integrations
  • Move pricing and business logic from client to backend services using FastAPI and Pydantic models
  • Ensure product features are drivable by LLM agents via MCP/FastMCP server endpoints and conversational interfaces
  • Establish testing, observability, deployment, and performance monitoring for AI-driven features
  • Lead technical discussions, conduct architectural reviews, and mentor peers on engineering culture and best practices

What they're looking for

  • FastAPI and Python backend development
  • React and TypeScript frontend development
  • MongoDB and database design
  • Full-stack end-to-end product ownership
  • LLM integration and agentic AI workflows
  • API versioning and business logic design
  • B2B SaaS monetization and pricing concepts
  • Financial code correctness and production reliability

Benefits

  • Early-stage equity commensurate with founding-team role
  • Opportunity to shape product strategy and engineering culture from day one
  • High ownership and autonomy over full product areas
  • Hands-on role working directly with customers and leadership
  • On-site collaboration in San Francisco
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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 Clera

Likely interview questions

  • Walk us through a time you owned an entire product module end-to-end—from customer scoping to shipping in production. What was your biggest learning?
  • Describe your experience integrating LLM agents or building AI-assisted features. How did you ensure reliability and user trust?