Sixtyfour (YC P25) Is Hiring

Aug 21, 2026 12:01 AM - 1 hour ago 2

$6K - $10K / monthlySan Francisco, CA, US

School year

Junior and above

Skills

Amazon Web Services (AWS), Kubernetes, Python, TypeScript, Machine Learning, Docker, Fine-tuning, Evals

Connect straight pinch founders of the champion YC-funded startups.

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The Opportunity

Sixtyfour turns a azygous name, email, aliases domain into a full, verified image of a personification aliases company — by sending AI agents retired to investigation the unfastened web the measurement a crisp expert would, past checking and scoring what they find. You'll build existent parts of that: the agents that logic and stitchery evidence, the systems that tally them astatine scale, and the merchandise group usage to spot the results.

How We Work

We walk astir of our clip — telephone it 80% — understanding the problem deeply, planning, and designing the strategy earlier a statement gets written. Getting the creation correct is the difficult portion and the champion part. We clasp a precocious bar, we enactment connected the separator of what's possible, and everything we vessel has to clasp up astatine scale. If you emotion the portion of engineering that happens connected the whiteboard — arguing the correct design, the nonaccomplishment modes, the tradeoffs — you'll fresh here.

What You'll Do

  • Build AI agents for OSINT and heavy web research — creation agents that analyse group and companies crossed the unfastened web, nationalist records, societal platforms, and different sources, past cross-reference and building what they find.
  • Own the thinking, not conscionable the code — excavation into the problem, measurement the designs, and constitute the scheme earlier you build, because that's wherever the existent leverage is.
  • Design systems that clasp up astatine scale — logic done information volume, concurrency, latency, and costs up front, truthful what you build survives existent load.
  • Ship features extremity to end — design, build, test, deploy — truthful customers get thing caller successful weeks, not quarters.
  • Build and sharpen the AI agents that investigation group and companies, truthful enrichment returns much accurate, better-sourced answers.
  • Add caller information sources and tools to the enrichment engine, truthful agents tin scope accusation they couldn't before.
  • Write evals and tests that beryllium whether a exemplary aliases supplier alteration really made results better, truthful the squad improves connected grounds alternatively of hope.
  • Make long-running jobs accelerated and reliable — batching, caching, retries, orchestration — truthful millions of records enrich without falling over.

What We're Looking For

Must-have — this is simply a precocious bar, and we mean it:

  • Strong engineering fundamentals. You understand really existent systems activity underneath — concurrency, APIs, databases, really the web fits together — and why they're built that way. Syntax is the easy part; you get the concepts beneath it.
  • System-design and architecture instinct. Hand you a fuzzy problem and you tin break it into pieces, find the nonaccomplishment modes, measurement the tradeoffs, and creation thing that holds. You deliberation earlier you build.
  • You deliberation astatine standard by default. You logic astir information volume, concurrency, latency, and costs without being told to — and you tin constituent to existent examples wherever you built, scaled, aliases earnestly worked done ample systems.
  • You've shipped thing existent and tin take sides each decision — a project, unfastened source, research, a hackathon — and spell heavy connected why you designed it the measurement you did.
  • You constitute coagulated codification successful astatine slightest 1 connection and study caller ones fast. Our stack is mostly Python (backend and AI) and TypeScript/React (product) — you request 1 and the expertise to prime up the other.
  • Genuine curiosity astir LLMs and agents. You want to build pinch them, not conscionable usage them.
  • You move fast, ain your work, and tin activity successful personification successful San Francisco.

Nice-to-have — bonus, not required:

  • Strong OSINT acquisition is simply a awesome plus — you’ve done heavy online investigations, personality resolution, reverse username research, entity mapping, aliases akin open-source intelligence work.
  • You've built thing pinch LLMs aliases agents — a investigation tool, a RAG app, a scraper, an supplier loop.
  • Experience pinch distributed systems, queues, workflow engines, aliases high-throughput pipelines.
  • Some React aliases Next.js, aliases acquisition building data-heavy UIs.
  • You've tally systems successful accumulation — databases (SQL/Postgres), Redis, search, observability.
  • A crisp oculus for information value — you announcement erstwhile an reply looks correct but is subtly wrong.

If you came up a non-traditional way aliases haven't touched a circumstantial tool, use anyway. We'll thatch you our stack. What we won't discuss connected is really you deliberation astir problems.

What You'll Get

  • Real ownership. You'll ain features that scope accumulation and paying customers, pinch your activity intelligibly yours.
  • Direct mentorship from engineers building genuinely difficult applied AI — investigation agents, evals, and the large-scale systems that tally them — who will reappraisal your designs and push you to beryllium great.
  • A squad that thinks earlier it builds, truthful you'll time off a overmuch stronger engineer: amended astatine architecture, systems, and judgment, not conscionable faster astatine typing.
  • A generous fund for the champion LLMs and dev tools. We want you building pinch the strongest devices available, not rationing tokens.
  • Founder habits: scope your ain work, make the call, and watch it land.

The Details

  • Location: In person, San Francisco. This domiciled is not remote.
  • Level: Junior and up — beardown students, caller grads, and early-career engineers each welcome.
  • Pay: $6,000–$10,000 / month, based connected level and experience.
  • Perks: Lunch successful the office, squad offsites, and a existent fund for LLM usage and tooling.

How to Apply

Show america thing you built and beryllium fresh to spell heavy connected why — the creation you chose, the ones you rejected, and really it would clasp up astatine scale. If you spot a difficult problem and your small heart is to understand it afloat and ain it extremity to end, we want to meet you. We're a mini team, we move fast, and we prosecute group who want to beryllium exceptional. Come build pinch us.

We build AI investigation agents that tin discover, link, and logic complete everything astir group and companies. The level turns that intelligence into automated investigation workflows for sales, recruiting, and marketing.

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