The way information on the internet is consumed is changing. It's shifting from humans searching pre-crawled information on Google via point and click to AI agents doing real-time targeted crawling from sources of truth. The interface, the workflow, and the density of retrieved data and its fidelity, which worked for humans, doesn't work for AI agents.

At Crustdata, we are building the gateway to the internet for AI agents. In simple terms, we're building the APIs for AI Agents to access real-time data from sources of truth. We already serve dozens of enterprise customers, are profitable and growing very fast. We're backed by some of the best investors in Silicon Valley including Y Combinator, General Catalyst, SV Angel, A Capital and Liquid 2 Ventures among others.

We’re hiring the first engineer for our new product. You will own this from start to initial launch.

Building the best APIs for realtime people and company data took us from 0 to $4M ARR in first 9 months while catering to just <1% of our customers. Now we want to democratize its access to everyone else with our new product.

Who you are

• 5+ years of experience in shipping production software
• Prior experience of working with sales/gtm teams in the past would be extremely beneficial
• A true grinder - we work very hard
• Founder mentality - someone who wants to be a founder in future OR was a founder earlier and hates eating glass every day.

This is a role with founder-level excitement of uncovering the unknowns minus the risks

What you’ll be doing

• Lead the 0→1 build of a new product on top of our APIs. Including building core algorithms and architecture for creating deterministic AI agents on the fly from natural language
• Own product strategy and execution end-to-end: user discovery, scoping, rapid prototyping, shipping, iteration, and metrics.
• Collaborate with Sales/CS to define high-leverage workflows
• Build production-quality UX (fast, simple, correct), with pragmatic choices over perfect abstractions.
• Partner with the Head of Engineering on architecture, reliability, and data/privacy guardrails.