Director of Engineering, AI

Role Description

We are looking for a Director of Engineering to own and lead Agent0. This is a rare combination of visionary and doer, someone who will lead a growing team, partner closely with Product and the VP Engineering, and personally set the bar for what production-grade AI engineering looks like. You will be responsible for building and shipping Agent0, not enabling AI across the company.

If you are the kind of engineer-turned-leader who still builds proofs of concept, who follows foundation model releases the way others follow sports scores, and who understands the difference between an internal AI demo and a product customers rely on for their mission-critical work — this role was written for you.

What You’ll Do

• Own the Agent0 Roadmap and Product Partnership.
• Co-own the roadmap with Product and drive execution against it with discipline and consistency.
• Act as a peer to Product, bringing strong technical and user-centric instincts to prioritization.
• Drive Delivery and Focus.
• Pick the right bets and ship them.
• Keep the team ruthlessly focused on customer value.
• Build and Scale the Team.
• Hire, mentor, and grow a team of senior AI and ML engineers.
• Leverage strong individual contributors and manage managers as we grow.
• Raise the Quality Bar.
• Set the standard for production-grade AI, including evaluation pipelines and testing strategies.
• Stay on the Bleeding Edge.
• Be Dash0's antenna for what is happening in AI every day.
• Prototype and Inspire.
• Go from idea to a working proof of concept yourself.
• Champion AI Production Excellence and Thought Leadership.
• Set the internal standards for AI production excellence.

Qualifications

• 8+ years of engineering experience, with 3+ years leading AI/ML product teams shipping production-grade systems to real customers.
• A proven track record building agentic AI products in production.
• Deep hands-on knowledge of agentic architectures: context management, tool use, eval frameworks, retrieval-augmented generation, and multi-step reasoning pipelines.
• A rigorous, systematic approach to AI quality: evals, regression checks, human-in-the-loop review, and production monitoring.
• Experience managing engineering teams of 15+ people, including managing managers.
• Strong cross-functional communication skills.
• The discipline to focus: genuine curiosity about where AI is heading.

Nice to Have

• Experience with observability, distributed tracing, APM, or the OpenTelemetry ecosystem.
• A background as a hands-on ML or AI engineer before moving into engineering leadership.
• Familiarity with data pipelines and the role of data quality in delivering high-quality AI experiences.
• Experience in a high-growth, venture-backed startup environment.

Benefits

• Competitive salary & meaningful equity participation — you'll own part of what you're building.
• Flexible, remote-first work environment with offices in New York, Amsterdam, and Munich.
• €60/month phone & internet allowance.
• Location-specific benefits.
• Collaborative, fast-moving team culture with a builder mindset.
• Clear path for career growth and development.
• Direct access to founders and leadership.