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Engineering Manager, Cybersecurity Products Anthropic · San Francisco, CA 12d ago

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Not Human Search
Full Time position
Listed on 2026-06-14
Job specializations:
  • IT/Tech
    Cybersecurity, AI Engineer (Applied/Software), Systems Engineer
Salary/Wage Range or Industry Benchmark: 405000 - 485000 USD Yearly USD 405000.00 485000.00 YEAR
Job Description & How to Apply Below
Position: Engineering Manager, Cybersecurity Products Anthropic · San Francisco, CA · $405k–$485k · 12d ago
# 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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