Data Product Engineer

Job Description

Job Description

San Francisco, CA · On-site (5 days/week) · Full-time
Compensation: $230K-$280K + equity

About the Company

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

The Role

This is a 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. It is a roughly even split between data infrastructure and product/backend engineering, with a clear path to grow into leading the data function.

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

Tech stack: Python, data pipelines, multi-agent systems, LLMs, search infrastructure, Git, SQL

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)

Nice to Haves

• Experience building agent harnesses or LLM-powered extraction and validation workflows
• Experience processing large volumes of unstructured documents (e.g., PDFs and filings)

Why Join

• 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

Details

• 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