About Fundable
Fundable provides real-time startup data and signals that help growth teams find new startup customers and help investors source their next deals. Our data plugs directly into existing workflows through our API, MCP, and native integrations.
The role
We’re looking for a backend engineer to own Fundable’s core data products from architecture through production. The role centers on building new customer-facing APIs, AI services, and a native workflow builder. This is a high-autonomy role for someone who can work directly with Fundable’s founders to make architectural decisions and own product implementation end to end.
What you’ll own
API development: lead the development of our new external API from end-to-end:
API design: researching industry leading APIs and problem solving with founders on final openapi spec
Architecture: deciding where to host what frameworks to leverage
Implementation and deployment: building out optimized SQL queries that support dynamic filtering
AI microservices
Building, deploying, and testing agentic microservices that convert natural language / free-text queries into deterministic filters / permalinks
Modernizing Fundable MCP to leverage updated API routes and implement customer-scoped authentication and auditable credit charging
Workflow builder: Build Fundable’s workflow product end to end, similar to n8n, so customers can create recurring automations using Fundable data
Architecture design: Work with founders to define the workflow schema, execution model, and deployment architecture
Implementation and deployment: Build scheduling, execution, persistence, retries, deduplication, and integration suite
What we’re looking for
Strong backend engineering experience building production systems from scratch
Strong TypeScript/Node.js or Python skills, plus SQL and Postgres experience.
Experience designing APIs, data models, and distributed jobs with authentication, idempotency, retries, and observability
Understands how to use AI tooling (e.g., Claude, Codex) to build maintainable, modular systems without sacrificing quality
Practical experience with LLM-backed systems, agentic frameworks, RAG, structured outputs, evaluations, and deterministic validation
Clear product judgment and communication in ambiguous, fast-moving environments
Deployed production systems using cloud platforms (GCP, AWS, Azure)
Nice to have
Experience working with open-source LLMs
Search, entity resolution, workflow engines, or complex data products
Experience working with GCP services (e.g, Google Cloud Run)
React/Next.js experience and the ability to ship customer-facing product flows
Experience with Supabase, Vercel, Clerk, and Stripe
How we work
We value engineers who help solve ambiguous design problems and own solutions from architecture through production. We are AI-first and continuously focused on improving how we work. We start with daily standups, then move to less frequent check-ins once we establish a strong working rhythm. Strong judgment and ownership matter more than experience with every technology in our stack.
