---
title: 'Head of Product Engineering at Reducto'
canonical: 'https://feeny.ai/job/head-of-product-engineering-reducto-san-francisco-meh80hqf5rde'
type: 'job'
last_seen: '2026-11-09'
---

# Head of Product Engineering at Reducto

- **Company:** Reducto
- **Location:** San Francisco, CA
- **Compensation:** $250k–$350k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-29
- **Last confirmed live:** 2026-11-09
- **Apply:** https://jobs.ashbyhq.com/reducto/418cbb57-f183-4501-a452-ed7ea7d6cea4

## 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 Role

As we've worked with customers to solve their most pressing document intelligence problems, we've started building a universe of products and tooling that can help customers through the entire lifecycle of their document workflows. We're hiring a Head of Product Engineering to lead the engineering team building these products. You'll set direction for what we build on top of our models, and be accountable for the product feeling fast, reliable, precise, and worth paying for. You'll define how we build products, from what technologies we use to how we apply them. This is a hands-on role. We think the best product leaders at our stage lead from inside the codebase, so you'll spend your first few months shipping as an engineer on the team before you fully take on leading it. As AI makes it easier to write code, the expectation that you can solve the hard problems yourself becomes more of the norm. You'll report to our VP of Engineering and work directly with our founders.

We would love to meet you if you:

- Product Intuition: You have a sharp eye for what good product looks like and how it's built. You care about the details that matter and think with first principles.
- Quality: You deeply care about the quality of what you build and ship. You hold your team to a demanding quality bar. You're allergic to AI slop.
- Experience: You have 3+ years of experience leading team(s) that have built applications with significant impact. You've led business-critical projects from 0 to 1 but also from 1 to 100. You prefer to lead small, nimble teams.
- Approach: A quantitative approach to building products. Ability to debug, experiment, and iterate fast. You should be comfortable getting hands-on with the full development lifecycle, from ideation to shipping production-quality code.
- Ambiguity: You work well in environments that have ambiguity. We believe ex-founders are the best fit for this role as they have the skills to navigate ambiguity, but it's not a requirement.
- Customers: You've worked directly with customers before. You have experience doing customer discovery or customer research.

The Core Work Will Include:

- Working directly with our founders, product team, and our customers to shape what products we build and how we build them
- Creating delightful, intuitive UIs that elegantly decomposes complex document workflows
- Ideating, prototyping and iteratively delivering new features like form filling, translations, document editing and document classification
- Sourcing and recruiting product engineers who will build a world-class agentic document platform
- Defining how we use AI in our building process
- Working closely with our Platform and ML engineering teams to roll out new models and deployment capabilities

Bonus points if you

- Have founded a company that has experienced meaningful traction
- Have experience deploying agentic workflows to customers
- Prior experience working with document workflows
- Have built with LLMs in production, including evaluation tooling
- Have held a tech-lead-manager or player-coach role at a company that experienced rapid growth

This is an in person role at our office in SF. We're an early stage company which means that the role requires working hard and moving quickly. Please only apply if that excites you.

## Benefits at Reducto

At Reducto, we’re invested in the well-being and growth of our team. Here’s what we currently offer:

- Unlimited PTO: We believe great work requires recharging.
- Lunch: Receive a free lunch to eat with your teammates daily at the office
- Reimbursed Transportation: Provide us with your receipts and we’ll take care of the costs
- Insurance: Generous health insurance covering medical, dental, and vision.
- Health and Wellness Budget: We provide up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar.
- Parental Leave: Work with us to build a leave schedule that works for you and your family

Reducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.

## 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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