Full-Time

Forward Deployed Engineer

Reducto

Reducto

51-200 employees

Ingests data for LLMs and RAG

Compensation Overview

$150k - $300k/yr

San Francisco, CA, USA

In Person

Category
Software Engineering (1)
Required Skills
LLM
Streamlit
Bash
Python
Data Visualization
Machine Learning
Data Analysis

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Requirements
  • You have 3 to 6 years of experience deploying software in production settings, ideally with enterprise or regulated customers.
  • You are excellent with Python and can navigate Bash and infrastructure as needed.
  • You should take a quantitative approach to building products and be able to debug, experiment, and iterate quickly.
  • You should be comfortable with the full development lifecycle, from ideation to shipping to users.
Responsibilities
  • Build whatever is necessary to drive customer value, including evaluation applications, customized agents, and modifications to existing product surfaces.
  • Collaborate hand-in-hand with Sales and Customer Success to land prospects and enable customers.
  • Build close relationships with customers and know the key stakeholders, particularly technical ones.
  • Create diagnostics, dashboards, and evaluation harnesses to measure performance and track regressions across environments.
  • Act as a feedback loop to product and engineering teams by surfacing usability gaps, unmet needs, and opportunities to deepen customer value.
  • Work directly with the founders and customers to shape product direction and engineering strategy.
  • Deploy and tune systems in real-world customer environments.
  • Build prototype and demo applications, customize existing products for customer needs, and support conversion from trials to contracts and contract expansion.
Desired Qualifications
  • Prior experience founding a company or building products at early stages.
  • Prior experience in a forward-deployed role enabling large customers to succeed.
  • Keeping up with the latest developments in machine learning and artificial intelligence.

Reducto.ai helps large organizations handle big volumes of data by ingesting, parsing, and chunking documents so that information is easy to retrieve with large language models. Its system breaks down complex documents into meaningful chunks and extracts structured data, making it easier to feed relevant content into retrieval-augmented generation workflows that work with any vector database. The product works by processing pages, applying layout-based chunking and data extraction, and delivering organized content ready for LLM queries, with options for automatic feature parsing as an add-on. The company differentiates itself by offering enterprise-grade, scalable data processing with dedicated compute resources and tiered subscription plans based on page volumes, plus value-added features for large workloads. The goal is to help businesses improve RAG performance and decision-making by turning vast document collections into searchable, usable data.

Company Size

51-200

Company Stage

Series B

Total Funding

$108M

Headquarters

San Francisco, California

Founded

2023

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Simplify Jobs

Simplify's Take

What believers are saying

  • Reducto said Harvey reached production in roughly six weeks with better legal accuracy.
  • Reducto says Vanta, Scale AI, and Fortune 10 customers process nearly one billion pages monthly.
  • Andreessen Horowitz led Reducto’s $75 million Series B, lifting total funding to $108 million.

What critics are saying

  • Unstructured and LlamaParse undercut Reducto with open-source or cheaper managed parsing.
  • Mistral OCR and Extend compress pricing by 2026, turning accuracy into a commodity.
  • If AWS launches native document intelligence, Reducto loses distribution and pricing power.

What makes Reducto unique

  • Reducto’s OCR-VLM pipeline handles scanned PDFs, handwriting, tables, and charts exceptionally well.
  • On May 7, 2026, Reducto acquired Opennote to add document intelligence workflows.
  • AWS Marketplace listing on February 6, 2026 lowers enterprise procurement friction and speeds adoption.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Wellness Program

Parental Leave

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-2%

2 year growth

9%
DEV Community
May 24th, 2026
Reducto raises $108M from a16z for document parsing as alternatives target full-stack processing

DokuBrain, an intelligent document processing platform, has positioned itself as a comprehensive alternative to Reducto, which recently raised $108 million from Andreessen Horowitz. Whilst Reducto excels at parsing complex PDFs into LLM-ready JSON for AI pipelines, it lacks business user interfaces, workflow automation and governance features. DokuBrain offers document classification across 16+ types, hybrid search capabilities, RAG Q&A with citations, PII detection and audit trails. The platform includes both API access and a business user interface, addressing needs beyond pure parsing. It's self-hostable and targets SMBs in finance, legal and operations sectors. Other alternatives include LlamaParse for RAG-focused pipelines within the LlamaIndex ecosystem, and Nanonets for finance-specific document workflows. Reducto's credit-based pricing starts at $300 monthly for parsing, but costs can exceed $2,000 for high-volume processing.

American Bazaar, Inc.
May 11th, 2026
Reducto acquires Opennote to expand document intelligence capabilities

Reducto has acquired AI learning platform Opennote to expand its document intelligence capabilities, the companies announced this week. Financial terms were not disclosed. Founded in 2023, Reducto develops tools combining optical character recognition with vision-language models to convert unstructured files into AI-readable data. The company raised $75 million in a Series B round led by Andreessen Horowitz last year, bringing total funding to over $100 million. Opennote, launched earlier this year, offered AI-powered learning tools for students, including personalised tutoring and note organisation. The platform had attracted over 50,000 users. The acquisition strengthens Reducto's work on "document agents", AI systems designed to interpret and act on large volumes of unstructured information. The Opennote team will join immediately to develop products focused on extraction and AI workflow integration.

FinSMEs
Oct 14th, 2025
Reducto Raises $75M in Series B Funding

Reducto raises $75M in Series B funding. Reducto, a San Francisco, CA-based AI document intelligence platform, raised $75M in Series B funding round. The round, which brought Reducto's total funding to date to $108M. was led by Andreessen Horowitz, with participation from existing investors Benchmark, First Round Capital, BoxGroup, and YCombinator. The company intends to use the funds to accelerate development across model research and product capabilities, and scale adoption across both enterprise and the next generation of AI teams. Led by Adit Abraham, co-founder and CEO, and Raunak Chowdhuri, co-founder and CTO, Reducto is a solution for turning complex documents into AI-ready inputs. Since its founding two years ago, the company has advanced a new standard for document understanding by combining traditional optical character recognition (OCR) with modern Vision-Language Models (VLMs), enabling systems to read documents as a human would. Customers range from AI-native startups, including Harvey, Rogo, and Scale AI, to global financial institutions and Fortune 10 enterprises. These companies use it to handle their most complex and mission-critical document workflow, such as, converting pdfs with redlines to text in legal workflows, extracting complex charts for financial due diligence, or high-stakes figure extraction for healthcare decisions.

The Information
Oct 14th, 2025
Reducto AI Secures New Funding Round

Reducto, a startup integrating OCR with advanced AI to interpret documents, has secured new funding. This investment comes just six months after a previous round, highlighting the company's rapid growth and innovation in document data translation.

Genaro Palma Consulting EOOD
Oct 14th, 2025
Reducto Secures $75M Led by Andreessen Horowitz

Reducto secures $75M led by Andreessen Horowitz. * Reducto secured $75M Series B led by Andreessen Horowitz, bringing total funding to $108M in under one year. * The AI document intelligence platform processes nearly one billion pages monthly for Harvey, Rogo, Scale AI, and Fortune 10 enterprises. * Andreessen Horowitz led the round with Benchmark, First Round Capital, BoxGroup, and YCombinator participating as existing investors.