Founding data hire who owns the full data layer end-to-end, from raw external sources through to the production signals the platform's agents reason over. Partner with customers to pinpoint high-value data use cases and decide which external sources to bring onto the platform. Design, build, and operate end-to-end pipelines that ingest, extract, and synthesize data from new external sources.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
San Francisco, CA
- On-site (5 days/week)
- Full-time Compensation: $230K-$280K + equity
Our client is a seed-stage AI company building an intelligence platform for teams in a large, highly regulated financial-services vertical. Their product turns dense operating knowledge (filings, regulations, and manuals) into trusted, governed systems that both people and AI agents can act on. Backed by top-tier venture investors, the team is small, technically deep, and tackling hard applied-AI problems including long-context reasoning and multi-agent coordination.
Founded 2025
- Small team (under 20 people)
- Industry: AI, B2B, Data, Enterprise, Insurance
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What You'll Be Doing
- Partner with customers to pinpoint high-value data use cases and decide which external sources to bring onto the platform
- Design, build, and operate end-to-end pipelines that ingest, extract, and synthesize data from new external sources
- Surface data through product interfaces so it is cleanly consumable by AI agents, with a focus on accuracy
- Build and maintain evaluation harnesses that keep data quality and agent reliability high at scale
Requirements
- Around 5 to 8 years in data engineering, with a track record of building and running production pipelines and systems
- Has personally built and scaled a data system end-to-end, connecting new external sources and owning them from ingestion through production
- Recent experience at a high-caliber environment: a fast-growing startup (seed to Series D), a strong big-tech team, an AI-native company, or a fast-moving fintech
- Hands-on strength in production pipeline design, ingestion, and orchestration
- Working experience with AI/ML agent frameworks and evaluation harnesses
- A CS or STEM degree from a strong, top-tier program
- Based in San Francisco or open to relocating, and comfortable working on-site 5 days a week
- Authorized to work in the US (client is open to visa transfers such as OPT or H-1B transfers)
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- Experience building agent harnesses or LLM-powered extraction and validation workflows
- Experience processing large volumes of unstructured documents (e.g., PDFs and filings)
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- Founding role with genuine end-to-end ownership of the data layer and room to grow into a leadership seat
- Zero-to-one building with no existing playbook at an early, well-backed company
- Meaningful, current AI work: agents, RAG, and eval harnesses over real-world documents
- Competitive base plus equity
- Location: San Francisco, CA
- Work policy: On-site, 5 days/week
- Compensation: $230K-$280K + equity
- Visa sponsorship: Open to visa transfers (e.g. OPT, H-1B transfers)
- Employment type: Full-time
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