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Clera

Founding Engineer (Full-Stack)

San Francisco$175k–$200kfulltimemidAdded 1 month ago

About this role

Join a Y Combinator-backed AI marketing automation startup as an early-stage Founding Engineer with full ownership of full-stack features. You'll architect and deploy products across Vue.js/Nuxt frontend, Node.js/TypeScript backend, and AI integrations while collaborating directly with founders and customers to shape the product from the ground up.

What you'll do

  • Own end-to-end feature development across frontend, backend, and AI agent integrations
  • Design and maintain PostgreSQL database schemas using Supabase for data integrity and performance
  • Manage deployments, background jobs, and infrastructure on Render, Inngest, and Microsoft Azure
  • Apply user-centric design thinking throughout the product lifecycle
  • Collaborate with operations and customers to align technical solutions with user needs
  • Contribute to internal workflows using Linear, GitHub, Slack, and Notion

What they're looking for

  • TypeScript and Node.js backend development
  • Vue.js + Nuxt or React/Next.js frontend development
  • PostgreSQL and relational database design
  • Full-stack feature ownership and deployment
  • Cloud infrastructure (Render, Inngest, Microsoft Azure)
  • LLM API integration and AI/ML features
  • Serverless workflows and event-driven architecture

Benefits

  • Salary: $175,000–$200,000 USD annually
  • Equity as a founding team member
  • Visa sponsorship available
  • Relocation support to San Francisco
  • Direct collaboration with founders and customers
  • Early-stage startup opportunity with Y Combinator backing
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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.

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Likely interview questions

  • Walk us through a full-stack feature you owned end-to-end. What was your approach from concept to deployment, and what challenges did you encounter?
  • Describe your experience designing PostgreSQL schemas for production systems. How do you approach ensuring data integrity and query performance at scale?
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