ZoomInfo is where careers accelerate. We move fast think boldly and empower you to do the best work of your life. Youll be surrounded by teammates who care deeply challenge each other and celebrate wins. With tools that amplify your impact and a culture that backs your ambition you wont just contribute. Youll make things happen rapid.

Youll lead the team that builds the intelligence every ZoomInfo AI agent reasons over whats true about companies and the people in them how they relate and what theyre buying. This role owns the B2B data graph strategy end to end blending classical machine learning and data science with LLM and agentic systems and treating evaluation and inference cost as core disciplines. Youll set the technical bar for a team of senior engineers while staying close to the code shipping alongside the people you lead.

What Youll Do

- You will ship code alongside your team prototype alone to prove or kill an idea and review code as a peer setting how the team uses agentic coding tools with precise specifications and rigorous review.
- You will own delivery end-to-end from problem framing through serving and on-call including long-tail graph coverage and user memory for agents that separates user-supplied context from system-of-record data.
- You will choose the right method for each problem classical machine learning language models or code for challenges like sparse-company revenue estimation entity resolution and semantic intent modeling deciding on measured evidence and stopping work that wont pay off.
- You will define what it takes to claim an agents output is correct not just that its run completed building the evaluation datasets regression gates and experiment designs that back those claims.
- You will own inference cost latency and capacity including build-versus-buy and distillation decisions since a model too expensive to run everywhere isnt a result.




- You will hire and grow machine learning engineers data scientists and research engineers developing senior engineers into technical leaders.
- You will work across product platform security and legal and present results and their limits to executives including when a system isnt good enough to launch.

What You Bring

Must-Have:

- You have significant experience building production machine learning systems and leading the engineers who build them by shipping alongside them demonstrated capability matters more than years.
- You have a track record of hiring and developing senior machine learning engineers and data scientists against a high bar.
- You stay hands-on today: shipping code building prototypes independently and using agentic coding tools daily with rigorous review.
- You bring deep classical machine learning and data science expertise (supervised learning feature engineering statistical inference and experiment design strong SQL) alongside production LLM and agentic systems with the judgment to choose between them including setting an evaluation bar with leakage-safe validation calibration and validated LLM judges.
- You have a record of cost and capacity decisions for model serving such as moving a workload from a hosted model to a distilled or self-hosted one with the savings measured and you report results to executives with their limits stated including recommending against a launch.

Preferred:

- You bring entrepreneurial experience founding a company or taking a product from inception to paying customers as a founding or early engineer.
- You have experience in propensity modeling ranking and retrieval clustering or entity resolution at scale.
- You have worked on web-scale language processing over multilingual noisy text knowledge graphs or user memory for agents.
- You have experience with post-training and distillation open-weight model serving or AI governance and safety practices (ISO/IEC 42001 NIST AI RMF).

#LI-Hybrid

#LI-VC1

Required Experience:

Director

📌 Director, Applied AI (Vancouver)
🏢 ZoomInfo
📍 Vancouver