Full-Time

SEO/GEO Manager

Reducto

Reducto

51-200 employees

Ingests data for LLMs and RAG

No salary listed

San Francisco, CA, USA

In Person

This is an on-site role based in the San Francisco office.

Category
Growth & Marketing (1)
Required Skills
Claude
SEO
PostHog
Information Architecture
Google Analytics

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Requirements
  • Have at least 5 years of experience in SEO, organic growth, technical marketing, or a related field, with measurable results.
  • Have deep technical SEO fluency and be comfortable implementing changes in a content management system or codebase.
  • Understand how content strategy, information architecture, and editorial quality drive traditional rankings and AI citations.
  • Have hands-on experience experimenting with answer engine optimization and generative engine optimization, including how AI assistants retrieve, reference, and surface content.
  • Be comfortable with Google Search Console, Google Analytics 4 or PostHog, Ahrefs or Semrush, crawl and log-analysis tools, and AI-visibility platforms.
  • Be able to define meaningful metrics, build dashboards, and use data to prioritize work.
  • Operate effectively in fast-changing, high-growth environments.
  • Take full ownership from idea through implementation and measurement.
Responsibilities
  • Own Reducto’s organic growth strategy across search engine optimization, answer engine optimization, generative engine optimization, and AI-driven discovery.
  • Improve Reducto’s visibility across Google, conversational assistants such as ChatGPT, Claude, and Perplexity, and coding agents used by developers.
  • Lead technical SEO across crawlability, indexation, rendering, internal linking, redirects, and site architecture.
  • Work directly in the marketing website codebase and content management system to implement improvements, debug issues, and ship changes.
  • Research, write, edit, and optimize technical content that answers developer and buyer questions.
  • Strengthen Reducto’s authority through entity consistency, structured references, earned mentions, and high-quality third-party coverage.
  • Define and own measurement across rankings, non-branded visibility, organic traffic, AI citations, and share of voice.
  • Build or own dashboards for monitoring ranking changes, indexing issues, crawl anomalies, technical regressions, and Reducto’s presence in search and AI-generated answers.
  • Stay current with changes in search and AI discovery, translating new developments into a clear point of view and prioritized roadmap.
Desired Qualifications
  • Experience in B2B software as a service, developer tools, AI infrastructure, or another technically complex category.
  • Experience building an SEO or organic growth program from an early-stage foundation.
  • Experience with modern frontend frameworks and rendering strategies.
  • Experience building programmatic landing pages or scaling technical content operations.
  • Experience experimenting with machine-readable documentation or content designed for coding agents.

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.