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
As one of Nebulock's early Sales Development hires, you won't be sitting back running a script someone else wrote - you will be building the playbook itself, in the field, in front of the people who matter. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 1+ year of experience as a Business Development Representative (BDR) or Sales Development Representative (SDR), ideally in cybersecurity, SaaS, or infrastructure technology
- Comfortable and energized by travel - you're excited to be in the field, at events, and in front of partners and prospects
- Strong written and verbal communication skills, with the ability to engage confidently with security practitioners and leaders
- Self-starter mentality - comfortable with ambiguity and excited to help build process rather than simply follow it
- Highly motivated with a strong hunger for growth, ownership, and impact
- Team-first mentality with a low-ego, collaborative approach to building a company
More about this role
Office Location : 131 Dartmouth Street (near Back Bay Station)
Hybrid/Remote : 3 days in office per week
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,...
Browse similar: Startup jobs · Remote jobs