B

bem

AI-powered data extraction and process automation

Account Executive

Account ExecutiveConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAHybrid

About the Job

Requirements

  • Experience selling software to technical buyers at high velocity.
  • Ability to understand APIs, schemas, and data workflows well enough to hold credible conversations with technical stakeholders.
  • Ability to listen, map customer pain to the product, and close deals.
  • Ability to build and manage a personal pipeline.
  • Ability to use AI and current sales tools responsibly to gather intelligence and optimize quality.

Responsibilities

  • Own the full mid-market sales cycle from first outreach through close.
  • Work directly with the founders to refine the mid-market ideal customer profile, test messaging, and build a repeatable playbook.
  • Engage technical buyers, primarily chief technology officers, vice presidents of engineering, and senior engineers, evaluating whether to build or buy unstructured data infrastructure.
  • Demonstrate the value of buying the company's unstructured data infrastructure rather than building it internally.
  • Develop deep product fluency to communicate credibly with technical stakeholders.
  • Operate the customer relationship management system, track the pipeline, and contribute to scalable go-to-market infrastructure.
  • Close multiple deals per month in a high-velocity, systems-driven mid-market motion.

Desired Qualifications

  • Experience selling software to technical buyers at high velocity, ideally in the SMB or mid-market segment at a company such as MongoDB, Datadog, Twilio, or Snowflake.
  • Technical fluency sufficient to understand APIs, schemas, and auditability in AI infrastructure.
  • Experience managing 15 to 20 simultaneous qualified opportunities.

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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