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Trieve (YC W24) Is Hiring a DevRel Software Engineer
Trieve Dev Rel Trieve is all-in-one infrastructure for building search, recommendations, and RAG. This role focuses on producing sales and marketing collateral to support our customer acquisition strategy. Compensation: $130-150K San Francisco, CA, US | Full-time, in-person About Trieve Trieve aims to power every search bar on the internet. Search has improved drastically over the past few years, however, it is still necessary to experiment and tune retrieval and recommendation systems for them to work well. To that end, Trieve combines the state of the art search language models with tools for fine-tuning ranking and relevance. We recently closed our seed round and have several years of runway. We're looking for developer relations talent to help increase our mostly sales-facing muscle. Our Tech Stack Check out (and star!) our repo at github.com/devflowinc/trieve Rust actix-web REST API SolidJS SPA frontends Rust workers with Redis for queueing Qdrant for vector storage Postgres for application data relating to multi-tenancy About You You are passionate about the vector space (no pun intended) and understand the differences between Pinecone, Qdrant, Weviate, etc. You've built with these tools and know enough to complain and praise the difference strategies and results you can find across the market. Candidates who have deep experience building with search-specific tools will be given stronger consideration. What We Offer Competitive salary In-person position working in our office in downtown San Francisco Sales-focused team interested in closing high-ACV deals Your work will be public as to build your reputation and following
This role focuses on producing sales and marketing collateral to support our customer acquisition strategy. Search has improved drastically over the past few years, however, it is still necessary to experiment and tune retrieval and recommendation systems for them to work well. To that end, Trieve combines the state of the art search language models with tools for fine-tuning ranking and relevance.
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