D

Founding Data Engineer

david joseph & company • United State
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AI Summary

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
End-to-end data pipeline ownership
Partner with customers to identify high-value data use cases
Design and operate data pipelines that ingest, extract, and synthesize data
Key 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
Technical Skills Required
Python Data pipelines Multi-agent systems
Benefits & Perks
$230K-$280K + equity
On-site, 5 days/week
Visa sponsorship available
Nice to Have
Experience building agent harnesses or LLM-powered extraction and validation workflows
Experience processing large volumes of unstructured documents (e.g., PDFs and filings)

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

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