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AnthropicAnthropicSan Francisco, CA

Engineering Manager, Cybersecurity Products

Lead an engineering team building AI-powered cybersecurity products, focusing on prototyping, shipping, and scaling solutions. This role involves technical leadership, customer engagement, and architectural decisions across the full stack.

405k – 485k
Hybrid8+ YOEEngineering Management

About the role

Responsibilities

  • Lead and grow the team: hiring, performance, and the culture that keeps strong engineers doing their best work
  • Stay close to customers, design partners, and the security community; turn what you learn into products and unblock the team on the ones that matter
  • Own architectural decisions across the full stack, from agentic systems and model orchestration to product surfaces, integrations, and data infrastructure
  • Coordinate with GTM, partnerships, and other product areas
  • Grow the next layer of leadership on the team

You may be a good fit if you

  • Have 8+ years of software engineering experience and 4+ years managing engineers, with ownership of a team's hiring, performance, and technical direction
  • Have shipped cybersecurity products in production (SIEM, EDR, vulnerability management, application security, threat detection, incident response, or security automation)
  • Have taken a team from prototype through first paying customers to scaled deployment
  • Are technical and hands-on: comfortable in design reviews and in the team's code
  • Have strong product instincts and a record of helping teams decide what to build, not just how
  • Communicate clearly across functions and keep research, product, GTM, and executive partners aligned through ambiguity
  • Treat direct customer contact as a primary input to your roadmap
  • Care deeply about Anthropic's mission and about developing AI responsibly and safely

Strong candidates may also have experience with

  • Hands-on security expertise: application security, vulnerability research, reverse engineering, incident response, penetration testing, or detection engineering
  • Building products on LLMs, including agentic systems, evals, and prompt and model iteration loops
  • Strict data-handling environments (BYOC, CMEK, regulated industries, governments)
  • Both startup and enterprise-scale company experience
  • Working closely with research to translate capability into shipped product
  • Ecosystem partnerships and MCP, CI/CD, or source-control integrations

Annual Salary:

$405,000—$485,000 USD

Logistics

  • Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
  • Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
  • Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Skills

CybersecuritySIEMEdrVulnerability ManagementApplication SecurityThreat DetectionIncident ResponseSecurity AutomationLLMsAgentic Systems
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