Reducto Logo

Reducto

Founding Product Manager

Posted Yesterday
Be an Early Applicant
In-Office
San Francisco, CA
100K-200K Annually
Senior level
In-Office
San Francisco, CA
100K-200K Annually
Senior level
The Founding Product Manager will define product direction, engage with customers, oversee product development, and drive metrics for success in a fast-paced AI environment.
The summary above was generated by AI

Reducto helps AI teams ingest real-world enterprise data with state-of-the-art accuracy. Most enterprise data, from financial statements to health records, is locked in unstructured file formats like PDFs and spreadsheets. We train vision models to read those documents the way a human would, enabling teams to build products, train models, and automate processes at scale.


We’ve grown rapidly, increasing revenue 7x 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 our first 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.

Top Skills

Ai Tools
APIs
Document Processing
HQ

Reducto San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

25 Days Ago
In-Office
San Francisco, CA, USA
150K-200K Annually
Mid level
150K-200K Annually
Mid level
Angel or VC Firm
Lead product for an AI-driven logistics platform: own discovery, specs, delivery, and launches; map complex logistics workflows into intuitive UX; ship trusted document-extraction AI features; build instrumentation, metrics, and processes; partner with GTM and customers to drive adoption and retention.
Top Skills: Apis,Document Extraction Ai,Data Pipelines,Human-In-The-Loop Systems,Explainability,B2B Saas
16 Hours Ago
In-Office
San Francisco, CA, USA
Senior level
Senior level
Artificial Intelligence • Software • Automation
Lead the development of Listen Labs' AI-powered research product, focusing on self-service growth, participant networks, and product delivery while collaborating with cross-functional teams.
Top Skills: AIComputer VisionData PipelinesSpeech Analysis
6 Days Ago
In-Office
San Francisco, CA, USA
Senior level
Senior level
Angel or VC Firm • Software
The Founding Product Manager will define the product vision and roadmap for an AI startup, collaborating closely with engineers and enterprise leaders to shape the platform and ensure its effectiveness in automating business workflows.
Top Skills: Ai SystemsEnterprise Infrastructure

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account