Manager, Enterprise Security

Abridge · Vertical AI · San Francisco, CA · Builder

Manager, Enterprise Security role at Abridge, a healthcare AI company. This is a greenfield opportunity to build and lead the enterprise security program from the ground up, focusing on identity, endpoint, SaaS, and corporate infrastructure. The role involves defining strategy, building a team, architecting IAM and Zero Trust, securing the endpoint fleet, driving SaaS and third-party security, automating processes, and leading enterprise AI security initiatives. Requires 8+ years in enterprise security, with 2+ years in management, strong IAM and endpoint security expertise, cloud/SaaS fluency, and an engineering mindset. The role also requires partnering cross-functionally and leading AI security for corporate adoption.

What you'd actually do

  1. Own Enterprise Security Strategy: Define and drive the vision, roadmap, and execution of Abridge's enterprise security program—spanning identity, endpoint, SaaS, email, and corporate network security—ensuring capabilities scale with the organization
  2. Build and Lead the Team: Recruit, mentor, and develop a team of enterprise security engineers, setting the technical bar from day one and establishing engineering best practices that attract top talent
  3. Architect Identity and Access Management: Design, implement, and operate IAM and Zero Trust access controls, including SSO, MFA, authentication protocols, access lifecycle management, and identity governance across cloud and SaaS environments
  4. Secure the Endpoint Fleet: Own the strategy and tooling for endpoint detection and response (EDR), device management (MDM), and endpoint compliance, ensuring every device connecting to Abridge systems meets security standards
  5. Lead Enterprise AI Security: Define and execute Abridge's strategy for securing corporate AI adoption end-to-end—from establishing governance frameworks and sanctioned tool inventories, to implementing technical controls around data loss prevention, prompt injection risks, and third-party AI vendor assessments—ensuring employees can leverage AI safely and at speed

Skills

Required

  • Enterprise security strategy definition and execution
  • Team building and management
  • Identity and Access Management (IAM) architecture and operations
  • Zero Trust security principles
  • Endpoint security (EDR, MDM, compliance)
  • SaaS security posture management
  • Third-party risk management
  • Automation and scripting (Python, Go, or similar)
  • Cloud security (GCP or AWS)
  • Cross-functional collaboration and influence
  • Communication and executive presence
  • Enterprise AI security governance and controls

Nice to have

  • Infrastructure-as-code experience

What the JD emphasized

  • greenfield opportunity
  • build 0 -> 1
  • enterprise security should reduce risk while empowering employees
  • Define and drive the vision, roadmap, and execution
  • Build and Lead the Team
  • Architect Identity and Access Management
  • Secure the Endpoint Fleet
  • Drive SaaS and Third-Party Security
  • Automate and Scale
  • Lead Enterprise AI Security
  • 8+ years in enterprise security
  • at least 2+ years in a management or team-lead capacity
  • Strong hands-on depth in identity and access management
  • Experience designing and operating endpoint security programs at scale
  • Deep familiarity with securing cloud-native environments
  • Strong scripting and automation skills
  • Exceptional communicator