Engineering Manager, Cybersecurity Products

Anthropic$405K — $485K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of software engineering experience; 4+ years managing engineers.
  • Experience shipping production cybersecurity products.
  • Proven track record from prototype to scaled enterprise deployment.
  • Hands-on with design reviews and team coding practices.
  • Strong product instincts to shape development direction.
  • Excellent communication to align across various functions.
  • Direct customer engagement as a priority for roadmapping.

Responsibilities

  • Lead and grow the engineering team through hiring and culture building.
  • Set and drive the technical direction and prioritize the product roadmap.
  • Collaborate closely with research to identify valuable model capabilities.
  • Engage with customers and the security ecosystem to inform product decisions.
  • Make key architectural decisions regarding various technical frameworks.
  • Enhance team efficiency by removing bottlenecks while ensuring quality.
  • Coordinate product launches and integrations with various stakeholders.
  • Mentor and develop the next layer of leadership within the team.

Benefits

  • Flexible hybrid work policy requiring at least 25% office presence.
  • Visa sponsorship assistance for successful candidates.
  • Focus on a mission-driven approach to AI development and cybersecurity.
Full Job Description
About the role

We are hiring an Engineering Manager to lead a team of engineers building AI-powered cybersecurity products. The work spans research, product, and go-to-market.

Your team will prototype and ship products that use frontier models to defend code and infrastructure. You will set technical direction, partner with research to turn new model capabilities into products, and stay close to customers so the team builds the right things, not just builds things well.

This is a builder's role. The team is small, the pace is high, and you should expect to be in the code, in customer calls, and in research reviews the same week. You also need to scale the team without losing the prototyping energy that got the product here.
Responsibilities
  • Lead and grow the team: hiring, performance, and the culture that keeps strong engineers doing their best work
  • Set technical direction and sequence the roadmap across prototyping, enterprise hardening, and platform investments, with PM and PMM
  • Partner with research to identify model capabilities worth productizing, and give research clear signal on the capability gaps blocking customer value
  • Stay close to customers, design partners, and the security community; turn what you learn into product bets and unblock the team on the ones that matter
  • Make architectural calls across agentic scanning pipelines, model orchestration, customer-facing surfaces, CI and source-control integrations, and the data infrastructure underneath
  • Raise velocity by removing bottlenecks and sharpening operating rhythms, while holding the bar on quality, security, and reliability
  • Coordinate with GTM, partnerships, and other product areas to land joint launches and ecosystem integrations
  • Grow the next layer of leadership on the team so it can take on more as the charter expands
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 enterprise 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


The annual compensation range for this role is listed below.

For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$405,000-$485,000 USD

Logistics

Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional 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.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

About Anthropic

Anthropic is an artificial intelligence research lab that focuses on developing AI systems that are safe, reliable, and trustworthy. The company was founded in 2019 by Dr. Yoshua Bengio, a leading AI researcher and winner of the Turing Award. Anthropic's research is focused on developing AI systems that can learn from small amounts of data, reason about complex systems, and interact with humans in a natural way. The company is based in New York City and has a team of experienced AI researchers and engineers.
Learn more about Anthropic
Size
50 employees
Industry
Founded
2019

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