Engineering Director
Quick Summary
Summary of the Role: At Maze, we're building AI-powered vulnerability management at a moment when generative AI is fundamentally changing what's possible in cybersecurity. Our engineering team is small, fast, and technically elite — and we're hiring an Engineering Director who is the same.
At Maze, we're building AI-powered vulnerability management at a moment when generative AI is fundamentally changing what's possible in cybersecurity. Our engineering team is small, fast, and technically elite — and we're hiring an Engineering Director who is the same. This is not a coordination role. It is a senior technical leadership role for someone who earns respect by being on the tools, thinks deeply about architecture, and happens to be exceptional at growing engineers and running a high-performance org.
You'll work in close partnership with our CTO, Santiago, taking ownership of a growing set of teams and tech leads as we scale from 20 to 35+ engineers. Your success will be measured the same way everyone's is at Maze: by the customer value and revenue impact of what your teams ship — not by process compliance, headcount growth, or delivery cadence. You'll have genuine accountability over a portion of the engineering org, with tech leads reporting to you, and you'll be expected to know your teams' codebases well enough to make good decisions, spot problems early, and earn the trust of every engineer who works with you.
The person we're looking for has probably been the most senior technical person in a fast-moving 10–20 person engineering team — a CTO, VP, or Head of Engineering at a startup — and is ready to bring that energy and credibility to a company with more firepower behind it. If you want to stay close to the code, grow exceptional engineers, and help shape an org that will define how AI-native security companies are built, this is that role.
Responsibilities
~1 min read- →
Experience in cybersecurity, AI, or security tooling — or a genuine interest in the domain and willingness to go deep quickly.
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Founder or early-stage startup experience, particularly having built an engineering org from a small base.
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Familiarity with agentic AI systems, LLMs, or ML-adjacent engineering — not as a researcher, but as someone who's built or led teams building on top of these technologies.
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Experience managing distributed teams.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- February 22, 2026
- First seen
- May 8, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 23%
- Scored at
- May 8, 2026
Signal breakdown
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