Engineering Manager, Cybersecurity Products Anthropic · San Francisco, CA 12d ago
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-06-14
Listing for:
Not Human Search
Full Time
position Listed on 2026-06-14
Job specializations:
-
IT/Tech
Cybersecurity, AI Engineer (Applied/Software), Systems Engineer
Job Description & How to Apply Below
# Engineering Manager, Cybersecurity Products Anthropic
· San Francisco, CA·$405k - $485kfull-timelead
Posted 1 week ago Apply Now Stand out: build a proof-of-work pitch →Free Git Hub-based preview. Direct apply stays one click away.
Get weekly job alerts like this →Hiring? Promote this listing →llmsecurityalignmentagents## About this role About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
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 PMMPartner 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 youHave 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…
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