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Head of Engineering

Base Operations · Hybrid · Washington DC

Posted by Base Operations on their careers site · View the original posting

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Open 85 days

The posting, as Base Operations wrote it

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[…]
eering, data architecture, and engineering management, with at least 3 years in a formal people-leadership role (Engineering Manager, Director, or equivalent).

  • Demonstrated experience owning data architecture decisions at scale — not just using data infrastructure, but designing it.
  • Strong program/delivery management instincts — comfortable owning timelines, measuring level of effort and cross-functional coordination with Eng & Product leads.
  • A genuine builder background — enough recent hands-on engineering experience to earn technical credibility with your team and make real architectural and development decisions.
  • Proven ability to hire, manage, and grow engineers, with a track record of building functional, high velocity teams.
  • Native fluency with modern AI tools — daily use of AI coding assistants/agents in your own workflow, and a point of view on how AI changes engineering org design, hiring, and velocity.
  • Comfort operating in a dual-use environment — security-conscious by default, and willing to learn the federal compliance landscape (FedRAMP, CMMC, CUI handling) as it applies to engineering.
  • Startup experience, ideally at Series A–B stage, where ambiguity is normal and the team is still being built.

NICE TO HAVE

  • Prior experience at a company serving both commercial and federal/defense customers.
  • Experience with threat intelligence, geospatial/OSINT data, or security-adjacent platforms.
  • Existing or prior eligibility for a U.S. government security clearance.
  • Experience standing up engineering processes from scratch at an early-stage company (not just operating within an existing one).

LOGISTICS

  • Location: Washington, DC preferred (hybrid); will consider strong remote candidates with regular DC travel.
  • Reports to: CEO
  • Team: Oversee team of Developers, Data Analysts, ML Engineers, Data Engineers, DevOps
  • Travel: Occasional, primarily for team offsites and senior leadership engagements