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Engineering Manager, API Platform

About Reducto

Reducto helps AI teams ingest real world enterprise data with state of the art accuracy.

The vast majority of 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, and make it possible to build products, train models, and automate processes at scale.

We’ve grown incredibly quickly, growing revenue by 7x YOY, and now work with hundreds of companies ranging from leading AI teams (Harvey, Vanta, Scale), through to enterprise (FAANG, top 3 trading firm).

We're raised over 100M from world class investors like A16z, Benchmark, and First Round Capital, and are hiring a Technical Lead Manager to own Reducto's API platform—the infrastructure that processes tens of millions of pages every month for teams ranging from startups to Fortune 10 enterprises.

The Role

This is a hands-on leadership role where you'll build and lead the team responsible for the reliability, performance, and scale of the product that our customers depend on every day.

You'll work directly with the founders and customers to shape both the technical architecture and team strategy. We need someone who can write code, make hard technical decisions, and grow a world-class engineering team—all while moving fast in an early-stage environment.

What You'll Do

  • Build and lead the API team: Recruit exceptional engineers, set technical direction, and create a culture of ownership and high standards

  • Own the technical architecture: Make critical decisions about system design, scalability, and performance as we continue to grow 10x

  • Ship code: This is a hands-on role. You'll be writing code, reviewing PRs, and diving deep into the hardest technical problems

  • Work cross-functionally: Partner closely with ML, product, and our customers to balance performance, reliability, and new capabilities

  • Set the bar for execution: Build processes that help the team ship fast without breaking things, from sprint planning to incident response

We Would Love to Meet You If

Philosophy: You are your own worst critic. You have a high bar for quality and don't rest until the job is done right—no settling for 90%. You ship fast, with high agency, and don't just voice problems but actively jump in to fix them.

Experience: You have 5+ years of engineering experience with at least 2+ years managing or leading technical teams. You've built and scaled production APIs or infrastructure that real users depend on.

Technical depth: You can write production code and make hard technical tradeoffs. You understand distributed systems, API design, and what it takes to build reliable infrastructure at scale.

Leadership: You've recruited engineers, managed performance, set technical strategy, and helped people grow. You know how to balance being hands-on with letting your team own their work.

Bonus points if you:

  • Have experience founding a company or building products at early stages

  • Have worked at high-growth infrastructure or developer tools companies

  • Are ambitious and driven, and care a lot about doing great work with great people

About Reducto

Nearly 80% of enterprise data is in unstructured formats like PDFs

PDFs are the status quo for enterprise knowledge in nearly every industry. Insurance claims, financial statements, invoices, and health records are all stored in a structure that’s simply impractical for use in digital workflows. This isn’t an inconvenience—it’s a critical bottleneck that leads to dozens of wasted hours every week.

Traditional approaches fail at reliably extracting information in complex PDFs

OCR and even more sophisticated ML approaches work for simple text documents but are unreliable for anything more complex. Text from different columns are jumbled together, figures are ignored, and tables are a nightmare to get right. Overcoming this usually requires a large engineering effort dedicated to building specialized pipelines for every document type you work with.

Reducto breaks document layouts into subsections and then contextually parses each depending on the type of content. This is made possible by a combination of vision models, LLMs, and a suite of heuristics we built over time. Put simply, we can help you:

  • Accurately extract text and tables even with nonstandard layouts

  • Automatically convert graphs to tabular data and summarize images in documents

  • Extract important fields from complex forms with simple, natural language instructions

  • Build powerful retrieval pipelines using Reducto’s document metadata

  • Intelligently chunk information using the document’s layout data

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.

Average salary estimate

$220000 / YEARLY (est.)
min
max
$180000K
$260000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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Full-time, onsite
DATE POSTED
November 13, 2025
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