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DepthFirst

Autonomous agents audit code for vulnerabilities

Account Executive

Account ManagementConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • At least 5 years of enterprise account management experience in technical software as a service, owning large and complex accounts.
  • Demonstrated success driving Net Revenue Retention through renewals, retention, and strategic account growth.
  • Experience engaging and influencing C-level executives within complex, matrixed organizations.
  • Deep expertise in cybersecurity, DevOps, DevSecOps, or enterprise software account leadership.
  • Ability to operate in high-growth, fast-paced environments, with a track record of building new strategies, functions, or approaches from the ground up.
  • Ability to align cross-functional teams around customer outcomes.

Responsibilities

  • Manage and grow a portfolio of the company's most strategic enterprise accounts across the globe.
  • Develop and execute account strategies that drive long-term customer loyalty and unlock new business value.
  • Build strong, multi-level relationships with C-suite executives and senior stakeholders.
  • Collaborate with Customer Success, Solutions Engineering, and Channel teams to identify and realize expansion opportunities.
  • Help customers integrate security into fast-moving, AI-driven development workflows.
  • Provide strategic customer insights to Product Management to influence product direction and priorities.
  • Drive measurable results through targeted, outcome-focused account growth plans.

About the Company

DepthFirst

Autonomous agents audit code for vulnerabilities

DepthFirst builds autonomous agents that understand a company’s code, business logic, and infrastructure end-to-end to surface security weaknesses and propose fixes that are ready to merge. The platform, called General Security Intelligence, uses AI agents to analyze an organization’s codebase and systems, identify vulnerabilities, and suggest actionable patches that can be integrated into the codebase. It stands out from traditional static analysis by delivering more true-positive findings (about 8x higher) and far fewer false positives (roughly 85% fewer), and it shows strong performance on CyberGym benchmarks. Early customers include AngelList, Supabase, Moveworks, Persona, and Lovable. The company aims to speed up secure software development by automatically finding problems and providing ready-to-implement fixes, and it is expanding research, go-to-market efforts, and hiring after a $40 million Series A round in January 2026.

Company size
51-200
Company stage
Series B
Total funding
$140.8M
Headquarters
San Francisco, CA
Founded
2024

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