Keenable is independent web search infrastructure for AI: our own crawler, index and ranking, and it gets better the more agents use it. Backed by Accel and Conviction.
About the role
Own the technical win with AI labs and inference platforms: get in front of the researchers and ML engineers who evaluate web search, understand how their agents and models use it, and stay close to them as that changes. Build the demo and the integration: stand up Keenable inside the customer's own stack (their agent, their eval harness, their model's tool calls) and show the result on their queries, not ours. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- You've won technical evaluations before: labs, platforms or infrastructure teams that chose your product on a benchmark or a pilot you ran, with numbers attached
- You can build a demo yourself. You're comfortable calling an API, wiring it into an agent or an eval, and putting the result in front of a researcher without waiting for an engineer
- Comfortable in a conversation where the buyer is a research scientist or an ML engineer. You can hold your own on latency, recall, freshness, and cost trade-offs, and you know when to bring in Matthias or the team
- You know the lab and inference landscape: who trains what, who serves what, which platforms and frameworks agents run on, and who we compete with for the same query
- Want the mission: make the world's knowledge accessible to agents
More about this role
Keenable builds AI infrastructure for web search and knowledge access at web scale. We are building systems and new retrieval primitives that make the world's constantly growing knowledge accessible to models.
If you do not match every requirement, you should still apply. We care much more about trajectory than polish. We hire for agency, speed, ownership, and the ability to turn ambiguity into working systems. This is a founding GTM role, which means you are the first person a lab's or a platform's engineers meet: you get Keenable running in their stack, prove it on their queries, and turn that proof into paying usage. The Head of Revenue owns the number and the commercial terms; you own the technical win and the channels that feed it.
Own the technical win with AI labs and inference platforms: get in front of the researchers and ML engineers who evaluate web search, understand how their agents and models use it, and stay close to them as that changes.
Build the demo and the integration: stand up Keenable inside the customer's own stack (their agent, their eval harness, their model's tool calls) and show the result on their queries, not ours.
Run evaluations and pilots to a...
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