Founding Data Engineer
Quick Summary
Own our core data systems (including Snowflake, Postgres, Clickhouse, and various data lakes), orchestration, transformation, and set the direction for how the stack evolves.
Reducto is the agentic document platform for leading AI teams who demand enterprise performance at scale. We provide a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and accurate document workflows.
We’ve grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies, from leading AI teams like Harvey, Vanta, and Scale, to enterprise customers across FAANG and top trading firms.
Reducto has raised over $100M from world-class investors including a16z, Benchmark, and First Round Capital.
Responsibilities
~1 min read- →
Hold a high bar for quality and precision, and build from first principles.
Have 5+ years of experience in data engineering, with strong command of SQL, Python, and dbt, and experience with a cloud warehouse like Snowflake.
Have built and owned data pipelines in production, end to end.
Think in systems. You design for where the company is going and can build foundations that will hold up as we scale.
Can work directly with functional leaders by turning vague requests into clear deliverables, explaining how the data works, and negotiating priorities and tradeoffs.
Are comfortable as the only data hire, balancing foundational architecture against urgent business needs.
Nice to Have
~1 min readHave been the first or founding data hire somewhere before.
Know usage-based pricing, consumption models, or PLG-plus-sales-assisted funnels firsthand.
Have hands-on experience with modern ETL and orchestration tools like Fivetran, Dagster, or Airflow
Are deeply AI-forward. You reach for AI to build faster and are always pushing the edge of what it can do.
Enjoy analytics and answering business questions.
Have experience at an early-stage or high-growth startup.
Impact: Your work directly shapes how the world’s best AI companies access and use enterprise data.
Speed: We move fast, ship often, and iterate in days, not months.
Learning: Work alongside world-class engineers, operators, and founders who care deeply about product, precision, and velocity.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- October 5, 2026
- First seen
- October 5, 2026
- Last seen
- October 10, 2026
Posting Health
- Days active
- 4
- Repost count
- 0
- Trust Level
- 34%
- Scored at
- October 10, 2026
Signal breakdown
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