ZeroEntropy
High accuracy search API over unstructured data.
HQRemote
Team Size2
Open Jobs1
Total Funding-
Latest FundraiseUnknown
High accuracy search API over unstructured data.
What they do: Developer-first retrieval infrastructure: rerankers, embeddings, and end-to-end search systems
Flagship products: ze-rank-1 (reranker) and zembed-1 (embedding model)
Funding: $4.2M seed announced July 9, 2025; company-stated total raised ≈ $4.4M
Founders: Ghita Houir Alami (Founder & CEO) and Nicholas Pipitone (Co-founder & CTO)
Accelerator: Y Combinator (Winter 2025)
Location & year: San Francisco; founded 2024
Search and retrieval over unstructured data (dense retrieval, hybrid search, reranking).
2024
AI infrastructure
$4.2M
Company announcement lists participating investors and states the round brings total raised to approximately $4.4M.
“Seed round led by Initialized Capital with participation from Y Combinator, Transpose Platform, 22 Ventures, an a16z Scout, and multiple angel investors (including Thomas Wolf, Mathilde Collin, Jean Lafleur, Laura Modiano, Tyler Bosmeny, Richard Aberman, and Kulveer Taggar).”
ZeroEntropy is building the next-generation retrieval engine for AI systems. We’re rethinking search from the ground up: faster, more accurate, and built to serve as infrastructure for the next decade of AI.
We already have serious technical momentum and real usage. Now we want the best developer experience in the category. Clear docs. Beautiful demos. A community that feels alive. Content that engineers actually want to read and share.
This role owns that.
You will be the voice and surface area of ZeroEntropy to developers.
You will shape how developers discover us, understand what we do, try the product, and stay engaged. That spans content, community, product feedback loops, and occasional collaborations and events. The exact mix will evolve with what is working, and you will have a lot of autonomy to choose the highest leverage work.
This is a technical role. You do not need to be an ML researcher, but you do need strong engineering instincts and comfort going deep.
You are likely a fit if you have:
Bonus points:
In person in San Francisco preferred. Remote ok.
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