16h ago

GRC Engineering Manager

San Francisco, CA | New York City, NY | Seattle, WA

โœจ $250k-$350k / yearest.

full-timeleadai-ml

๐Ÿ›  Tech Stack

๐Ÿ’ผ About This Role

You'll lead a team building automated workflows and data pipelines to scale risk and compliance programs at Anthropic. Your work will transform manual compliance processes into scalable engineering systems, with a unique opportunity to design AI-powered workflows using Claude. This is a greenfield role where you'll define the architecture for governance, risk, and compliance automation.

๐ŸŽฏ What You'll Do

  • Lead the team that establishes foundational GRC processes and architecture.
  • Design and build automated workflows for risk management and compliance.
  • Build data pipelines that aggregate risk, control, and asset information across the tech stack.
  • Inform GRC platform strategy and implementation, evaluating and deploying tooling.

๐Ÿ“‹ Requirements

  • 12+ years of total experience and 3-4+ years managing technical teams.
  • 5+ years designing automated workflows, data pipelines, or system integrations.
  • Relentless focus on data integration: pulling, normalizing, and joining data from multiple sources.
  • Understanding of APIs and integration patterns: REST, webhooks, authentication flows.

โœจ Nice to Have

  • Experience designing or implementing AI-powered automation or agentic workflows.
  • Experience with GRC tools and compliance frameworks (SOC 2, ISO, HIPAA, FedRAMP).
  • Experience with policy-as-code and translating requirements into automated checks.

๐ŸŽ Benefits & Perks

  • ๐Ÿš€ Work on cutting-edge AI safety at a leading AI company.
  • ๐Ÿ–๏ธ Flexible PTO and comprehensive benefits package.
  • ๐Ÿ’ฐ Competitive equity and compensation (estimated).
  • ๐ŸŒŸ Greenfield opportunity to build a GRC engineering function from scratch.
  • ๐Ÿ’ก Access to AI-powered workflows using Claude to augment team capacity.

๐Ÿ“จ Hiring Process

Estimated timeline: 2-4 weeks ยท AI estimate

  1. 1Recruiter Phone Screenยท 30 min
  2. 2Technical Interview with Hiring Managerยท 60 min
  3. 3System Design / Architecture Interviewยท 60 min
  4. 4Behavioral / Culture Fit Interviewยท 45 min
  5. 5Offerยท 30 min
0 0 0