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bem

AI-powered data extraction and process automation

Developer Relations

Developer Relations & AdvocacyConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAHybrid

About the Job

Requirements

  • Technical ability to read API documentation and understand the product.
  • Ability to write a technical tutorial and speak at a meetup.
  • Ability to discuss document-extraction infrastructure with engineers.
  • Experience growing blog readership from zero to 5,000 reads.
  • Experience building developer-community presence that generated pipeline.
  • Ability to develop and communicate informed opinions about AI infrastructure and why AI products fail in production.
  • Ability to use current technologies and artificial intelligence responsibly to research and produce high-quality content.
  • Ability to work independently, move quickly, and measure results.

Responsibilities

  • Own bem's developer-facing presence across content, community, and distribution.
  • Repurpose blog posts, product documentation, podcast episodes, and video content for distribution to relevant developers.
  • Write new technical, opinionated, and useful content.
  • Produce technical video content.
  • Build relationships in developer communities serving teams that process unstructured data in logistics, insurance, fintech, and healthcare.
  • Own and develop the generative engine optimization strategy.
  • Systematically amplify bem's visibility when developers ask artificial-intelligence tools about document-processing infrastructure.
  • Create distribution for Developer Relations content that converts developers into users who sign up, build workflows, and make API calls.
  • Build the Developer Relations function from scratch by defining channels, cadence, content formats, and scaling practices.

About the Company

bem

AI-powered data extraction and process automation

bem provides an AI-powered platform that turns unstructured data from documents (like PDFs, spreadsheets, and emails) into structured, actionable data for business operations. It extracts and transforms data to fit into workflows such as onboarding, claims processing, and underwriting, reducing manual data entry. Unlike typical automation that just repeats tasks, it aims to rebuild and modernize workflows for clearer and more efficient operations. Its goal is to help data-heavy industries like insurance, finance, and logistics automate and improve their processes through a B2B SaaS model.

Company size
11-50
Company stage
Seed
Total funding
$3.7M
Headquarters
San Francisco, CA
Founded
2023

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