---
title: 'Founding Product Manager at Reducto'
canonical: 'https://feeny.ai/job/founding-product-manager-reducto-san-francisco-j45v8f8fmk0r'
type: 'job'
last_seen: '2026-09-07'
---

# Founding Product Manager at Reducto

- **Company:** Reducto
- **Location:** San Francisco, CA
- **Compensation:** $200k–$300k
- **Employment:** full-time
- **Posted:** 2026-06-23
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/reducto/64088355-5fe7-44b2-86d8-0cfba391f052

## 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 Reducto turns unstructured documents into structured, usable data. Our models and APIs power document intelligence for developers and enterprises across every vertical — from financial services to healthcare to legal. We're hiring a product manager.

This is a founding PM role, not a feature-team PM role. You'll set the product direction across everything from our core platform (APIs, no-code workflows, document processing) to how we package, price, and take it to market. There are no layers between you and the work. We think of this role as entrepreneurial at its core. If you've been a founder or aspire to be one, we especially want to talk to you.

What You’ll Do:

- We think about this role in terms of what it produces, not what it manages.

Find the right problems. You'll develop deep expertise in three areas: our customers and their workflows, our models and what they can and can't do, and the competitive landscape. Your job is to synthesize all three into a clear view of where to invest. You'll talk to customers constantly — the developers and technical buyers who use Reducto — and bring that context into every product decision. You'll work closely with our research team to understand model capabilities and translate improvements into product value.

Multiply the team. The best PMs don't just set direction — they make every person on the team more effective. You'll do this by removing obstacles before they become blockers, nailing launch plans so what ships actually gets used, de-risking decisions early, and keeping the full team aligned without unnecessary process. Clarity in direction matters, but it's a small part of the job. The larger part is blocking and tackling across every function so that the team is never waiting on you — they're accelerated by you.

Keep pace with AI-native development. Engineering velocity is compressing development cycles from quarters to weeks. But designs still take time. Customer feedback loops still take time. Go-to-market still takes time. Your job is to find the path that lets the rest of the org match the pace of engineering so that as a company, we have extraordinary velocity end to end — not just in the codebase. You should expect to be reinventing how you work.

Ship product end-to-end. Spec it, build it with engineering, test it with customers, launch it, measure it, iterate. You'll own the metrics that determine whether a feature is successful — both the feature-level signals and the top-line business metrics your work drives. That includes how the product translates into revenue: pricing, packaging, PLG motions, enterprise expansion. You think about what makes someone upgrade, not just what makes someone sign up. Write a PRD when it's useful, skip it when it's not. The output is what ships and the impact it has, not what gets documented.

Set the quality bar. Every surface should reflect the quality of our underlying technology. You'll QA features personally — not because no one else will, but because that's how you learn what needs to be better. You'll catch the rough edge before it ships and push for the extra polish that makes Reducto feel like a product built by people who care. This is a low-ego role. If something needs doing and no one else is doing it, it's yours. A PM who thinks any part of the product is beneath them will never work here.

Go broad and deep. Reducto is a horizontal product used across industries — financial services, healthcare, legal, insurance, and more. You'll need to develop real understanding across verticals and customer personas while still going deep enough in each to build products that solve specific problems well.

You’ll Thrive Here If You:

- 5+ years as a PM, engineer, or founder. You've taken a product from "we think there's something here" to "customers are paying for this." You're comfortable with ambiguity and can structure your own work without a playbook.
- Deeply technical. You can read an API spec, discuss model architectures with researchers, and evaluate technical tradeoffs with engineering as a contributor, not a spectator. You use AI tools daily and understand the ecosystem firsthand.
- Metrics-driven. You define success quantitatively. You're thoughtful about which metrics matter for individual features and how they ladder up to business outcomes. You back up your convictions with data and customer insight, not opinion.
- Excellent taste. You notice the details — the copy, the flow, the naming, the speed. You can point to products you admire and articulate specifically why they're great. You want to build products people love, not just products that function.
- Maniacal about outcomes. You don't wait to be told what to do. You identify what matters, make a plan, execute it, and hold yourself accountable. You understand that process is a tool, not a crutch, and you use just enough of it to move fast without creating chaos.

Bonus points if you:

- You've built technical products for developers or worked with document processing / AI infrastructure
- You have a background in ML/AI product management, specifically shipping products powered by proprietary models
- You've been at a high-growth startup that went from early traction to scale
- You've built or scaled a horizontal platform across multiple verticals

## 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.

## 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.
- 401k +4% company match

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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