Intelligence Infrastructure on People and Entities. Backed by Y Combinator.
About the role
We keep a high bar, and everything we ship has to hold up at production scale. If the whiteboard is your favorite part of engineering, you'll like it here. We don't care much about pedigree. If you took a non-traditional path or haven't used our stack, apply anyway; we'll teach you the tools. How you think about problems is the one thing we won't bend on. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- OSINT agents at the core of the product: how they plan an investigation, which sources they check, how they settle conflicting evidence, and when they decide they're done
- New data sources and tools for the enrichment engine
- Evals that tell us whether a prompt, model, or agent change made results better or just different
- Batching, caching, retries, and orchestration for jobs that enrich millions of records at a time
- Features end to end, from design doc to production
More about this role
Sixtyfour builds research infrastructure for decisions that can’t afford to be wrong. Our AI agents investigate people and companies across public records, web pages, archives, and other sources, returning structured findings with supporting evidence and a graph of the connections between them.
We help teams investigate fraud, research the people behind accounts, and understand who they’re doing business with. Start with an email, a username, or a company domain. Sixtyfour follows the evidence, connects records across sources, and gives teams findings they can inspect and use in their workflows.
The hard problems are in making that research reliable at scale. Do two profiles belong to the same person? What happens when sources disagree? Does a shared identifier reveal a meaningful connection? How do you investigate millions of records while keeping latency and cost under control? These are the problems we’re building for.
We’re backed by Y Combinator (X25)
We design before we build. On most projects, the bulk of the time goes into understanding the problem, sketching the system, and arguing through failure modes and tradeoffs at a whiteboard. Once the design holds up, the code...
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