Data Product Engineer

David Joseph & Company; San Francisco (CA); On-site; USD 230,000 - 280,000; Full time

Benefits offered by this job

Equity

Founding role

On-site work

Job summary

David Joseph & Company is recruiting a founding data engineer in San Francisco to own the data layer end-to-end, from external sources to production signals used by AI agents. The role balances data infrastructure with product/backend engineering, with a clear path to lead the data function.

You will partner with customers to define data use cases, build ingestion pipelines, and ensure high data quality for scalable AI workflows, while working on-site five days a week.

Qualifications

• 5–8 years in data engineering with production pipelines
• Built and scaled end‑to‑end data systems
• Based in San Francisco or open to relocating and on-site work

Responsibilities

• 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

Skills

Data engineering

Production pipelines

AI/ML agent frameworks

Evaluation harnesses

Education

CS or STEM degree

Tools

Python

SQL

Git

Data pipelines tooling

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