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Senior Product Manager

Nebulock · United States · Remote

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About Nebulock

Nebulock is the Agentic Cybersecurity Engineering platform. Its hunt-first approach runs autonomous threat hunts, investigations, and detection engineering across endpoint, identity, cloud, and SaaS tools to find the threats alert-driven tools miss. Backed by Bain Capital Ventures.

About the role

If you're a cybersecurity practitioner turned product leader, this one's for you. You'll join our product team as a Senior Product Manager , reporting to the Head of Product, and you will own significant, ambiguous problem spaces from discovery through delivery. This role spikes in two places: Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Solid product management skills. You're comfortable writing epics and stories, defining success criteria, and partnering closely with R&D. You know how to run discovery and how to translate it into things engineers can build
  • A shipping track record. This won't be your first PM role. You've shipped things that matter and learned from what didn't
  • Comfort with speed and ambiguity. We're a Series A company moving fast. You'll often be the one bringing structure to a problem nobody has framed yet
More about this role

Nebulock builds hunt-first, behavior-first security operations. Enterprise security teams use us to find attackers already inside their environment by spotting behavior that's abnormal for that organization, rather than by matching signatures of attacks someone has already seen. Attackers rotate tooling constantly and it costs them almost nothing; changing how they behave is much harder.

Series A, $34M total raised led by FirstMark, with Bain Capital Ventures, Decibel, Zetta, Step Function, and In-Q-Tel. Founding team out of CrowdStrike, Palo Alto Networks, and Arctic Wolf.

A per-customer behavioral system of record that learns what normal looks like in a specific environment and gets more useful the longer it runs

Detections built from that context, re-baselining as environments shift, maintained by a detection engineering team rather than shipped and forgotten

Autonomous hunting agents that work from a hypothesis instead of an alert, and write the detection when they establish root cause

Detection engineering agents that take the context of threat hunts run to build, test, validate and deploy behavioral detections for Nebulock customers.

If you're a cybersecurity practitioner...

Read the full posting on Nebulock's site ↗

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