Engineering Director

Seniority - one of our clients is looking for

5 years of experience leading engineering teams on complex,​ data-​intensive,​ or AI-​driven SaaS platforms.​

Work experience

Has led a team through a real agentic/AI product build-​out in the last 2-​3 years,​ not just internal AI tool usage.​

Managed other engineering managers (manager of managers,​ not just ICs).​

Has worked in a high-​growth startup environment (ideally Series B-​Series G).​

Experience leading and scaling engineering teams (roughly 12-​40 engineers).​

Education

Computer Science degree or equivalent technical degree.​​

Hard skills

Comfortable coding in TypeScript or Python (assessed in a technical screen,​ not a day-​to-​day expectation).​

Miscellaneous

Must be based in NYC and work hybrid (2 days/week).​

Deep curiosity for,​ and strong intuition about,​ state-​of-​the-​art AI agent behavior and context systems.​

Traits to avoid

Purely a 'people manager',​ detached from technology.​

Heavy big-​tech-​only background with no recent startup exposure.​

Job hopping,​ never longer than 1-​2 years at a company.​

Base between: $262K - $349K Equity

Hybrid role- 2 days in office NY

What's driving you to make a career move right now? Why Hex in particular?

·        Have you built a meaningful agentic/AI-native platform in the last two years? What did you own?

·        Describe your previous experience(s) leading / scaling multi-level engineering teams.

Interview:

Recruiter 30 mins

Hiring Manager Screen (30 minutes)

Technical & Leadership Deep Dive (2 hours)

On-site (3 hours)

Ideal companies

We are looking for an experienced engineering leader to drive the strategy, execution, and growth of Hex’s state-of-the-art AI context platform

Our ambition is simple but powerful: Hex should get better every time you use it. With tens of thousands of people relying on Hex daily to do deep analytical work, we are uniquely positioned to learn from usage and continuously improve the intelligence of our system.

The Context Studio is at the heart of this vision. It is the surface area where users can understand how AI agents interact with their data, identify where quality falls short, and actively improve the context that drives better outcomes. We are building an entirely new development lifecycle for context, one that blends human insight with automated learning and iteration.

The broader AI landscape is evolving quickly, and our team is tackling foundational questions such as how to detect and debug failures in agent reasoning, how to structure and manage business context effectively, how to balance human-in-the-loop systems with autonomous improvement, and how to integrate our context layer with the growing ecosystem of AI-powered tools and workflows.

What you will do

·        Lead an organization of multiple teams working on Hex’s context platform

·        Serve as people manager for line-level engineering managers, tech leads, and senior ICs, setting a high bar and empowering them to do their best work

·        Recruit exceptional engineering talent, growing to a team of at least 15 software engineers

·        Drive technical strategy, review designs, and occasionally get hands on to move the needle