---
title: 'Founding Data Engineer at Reducto'
canonical: 'https://feeny.ai/job/founding-data-engineer-reducto-san-francisco-efdk5p30bzf0'
type: 'job'
last_seen: '2026-10-12'
---

# Founding Data Engineer at Reducto

- **Company:** Reducto
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-05
- **Last confirmed live:** 2026-10-12
- **Apply:** https://jobs.ashbyhq.com/reducto/c670e390-451c-4ec0-8379-ae50d268f9be

## Job description

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.

The Opportunity As Reducto's Founding Data Engineer, you'll build our data infrastructure from the ground up. You'll own the entire data stack, from the systems data lives in, to the pipelines that move it. You’ll make the foundational architecture decisions for how our data capability evolves. You'll turn that foundation into a trusted source of truth the whole company runs on, answering the questions that actually move the business, from usage and unit economics to our growth funnel. This is a rare chance to own data end to end at a fast-growing company, and to define the function that grows around you.

What You’ll Do:

- Own our core data systems (including Snowflake, Postgres, Clickhouse, and various data lakes), orchestration, transformation, and set the direction for how the stack evolves.
- Build and own the pipelines that unify product usage, sales, and finance data across APIs, webhooks, and third-party systems.
- Model raw data into clean, documented tables the whole company can query with confidence.
- Own the reliability of our data and set the standards for it, from tests, freshness checks, and lineage to clear ownership of what "correct" means, so trust in the data holds as we scale.
- Partner with Eng on usage data, and with Finance, Ops, and GTM on the metrics behind the business.
- Use AI to build faster, and keep the foundation clean enough for AI tooling to run reliably on top of it.

You’ll Thrive Here If You:

- 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.

Bonus points if you:

- Have 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.

## Why Reducto

- 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.
- Data is core to our mission: We turn messy documents into structured data. Building Reducto's own data foundation is essential to how we operate and scale.

## Benefits

- Unlimited PTO, because great work requires recharging.
- Daily Lunch, enjoy free lunch with teammates in the office.
- Commuter Reimbursement, we’ll cover your transportation costs.
- Comprehensive Insurance, medical, dental, and vision.
- Health and Wellness Budget, up to $150 per month for wellness spending such as gym memberships or fitness classes.
- Parental Leave, flexible scheduling that works for you and your family.

This is an in-person role based in our San Francisco office. We’re an early-stage company, we move fast and work hard. Please apply only if that excites you.

## Equal Opportunity

Reducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration without regard to sex, race, color, age, national origin, religion, disability, sexual orientation, gender identity, veteran status, or any other protected category.

## About Reducto

## Company Overview
- **One-liner**: Reducto is the agentic document platform for leading AI teams, providing a comprehensive toolkit for document parsing, extraction, and automation at enterprise scale.
- **Entity Type**: Private (Series B)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2023
- **Founders**: Adit Abraham (CEO) and Raunak Chowdhuri (CTO)

## Core Business
- **Primary industry**: Document AI / Enterprise Software / Artificial Intelligence
- **Target customers**: AI teams and enterprises across legal, finance, healthcare, and insurance sectors — ranging from startups to Fortune 10 companies.
- **Mission or purpose**: To unlock messy, real-world document data so that leading AI teams can build smarter systems, faster decisions, and better products.

## Products & Services
- **Parse**: Reads documents like a human would, capturing layout, structure, and meaning with high accuracy. Uses Agentic OCR that reviews and corrects outputs in real-time for near-perfect results.
- **Extract**: Extracts structured data directly from documents with schema-level precision — invoice fields, onboarding forms, financial disclosures, and more.
- **Edit**: Dynamically fills in detected blanks, tables, and checkboxes with supplied data across scanned PDFs, digital forms, and complex multi-page documents — no bounding boxes or templates required.
- **Split**: Automatically separates multi-document files or long forms into individually useful units using intelligent, layout-aware heuristics.
- **Deep Extract**: The most accurate structured document extraction agent yet, leveraging vision-language models for context-aware extraction.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Total Funding**: $108.4M across four rounds
  - Pre-Seed (Apr 2024): $500K led by Y Combinator
  - Seed (Oct 2024): $8.4M led by First Round Capital
  - Series A (Apr 2025): $24.5M led by Benchmark
  - Series B (Nov 2025): $75M led by Andreessen Horowitz
- **Notable Investors**: Benchmark, First Round Capital, Andreessen Horowitz, Box Group, Y Combinator, and founders of Dropbox and Airtable.
- **Growth Signals**: Headcount grew 313.3% YoY to 43 employees; trusted by leading AI teams including Harvey, Scale AI, and Vanta; serves Fortune 10 enterprises; operates in 6 countries.

## Competitive Advantages
- **Agentic OCR**: Combines custom in-house vision models with leading frontier VLMs that review and correct outputs in real-time, achieving near-perfect accuracy even on edge cases.
- **Enterprise-grade security**: SOC 2 and HIPAA compliant, with flexible deployment options from cloud to fully air-gapped environments and zero data retention.
- **Battle-tested infrastructure**: 99.9%+ uptime, built for enterprise workloads at scale.
- **Deep technical moat**: Founders are MIT CS graduates with published computer vision research and experience at Google and MIT Media Lab.

## Strategic Focus
- Scaling the platform to serve more enterprise customers across legal, finance, healthcare, and insurance verticals.
- Continuing to advance proprietary vision-language models for document understanding.
- Expanding the team, particularly in engineering, machine learning, and go-to-market roles.

## Why Work Here
- **Culture**: "We stay small on purpose, so ideas move fast, ownership runs deep, and your work directly shapes the future of the company." The team is described as builders — curious, humble, and relentless about solving real problems.
- **Team**: 43 employees with strong talent from MIT, Stanford, and companies like Scale AI, Vanta, Meta, and Hudson River Trading. Technical roles make up 27% of the team.
- **Location**: San Francisco office with daily lunch, snacks, and commute stipends.
- **Benefits**: High-quality medical, dental, and vision coverage; 401k with 4% company match; health and wellness stipends (gym, fitness classes); parental leave; flexible PTO.
- **Open roles**: 35 active job postings across engineering, ML, product, customer success, and sales — all full-time in San Francisco.

## Sources
1. [reducto.ai](https://reducto.ai/)
2. [reducto.ai/careers](https://reducto.ai/careers)
3. [ycombinator.com/companies/reducto](https://www.ycombinator.com/companies/reducto)
4. [linkedin.com/company/reducto-ai](https://www.linkedin.com/company/reducto-ai)
5. [cbinsights.com/company/reducto-ai](https://www.cbinsights.com/company/reducto-ai)
6. [fortune.com](https://fortune.com/2025/04/01/reducto-ai-document-parsing-startup-raises-24-5-million-series-a-led-by-benchmark/)

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