Director, Applied AI

The role

You will lead the team that builds the data and intelligence every ZoomInfo AI agent reasons over, owning the B2B data graph strategy end to end. You will combine classical machine learning and data science with LLM and agentic systems, and set the technical bar for a team of senior engineers while staying hands-on with the code.

What you will do

• Lead the team that builds the B2B data graph and the intelligence agents reason over
• Ship code alongside your team, prototype independently, and review code as a peer
• Own delivery end-to-end, from problem framing through serving and on-call
• Choose the right method (classical machine learning, language models, or code) for each problem based on measured evidence
• Define and build the evaluation datasets, regression gates, and experiment designs that back claims of agent output correctness
• Own inference cost, latency, capacity, and build-versus-buy decisions
• Hire and grow machine learning engineers, data scientists, and research engineers
• Work across product, platform, security, and legal teams
• Present results and their limits to executives, including recommending against a launch when a system is not good enough

Required qualifications

• Significant experience building production machine learning systems and leading the engineers who build them
• Track record of hiring and developing senior machine learning engineers and data scientists against a high bar
• Stay hands-on today: shipping code, building prototypes independently, and using agentic coding tools daily with rigorous review
• Deep classical machine learning and data science expertise (supervised learning, feature engineering, statistical inference and experiment design, strong SQL)
• Production LLM and agentic systems experience, with judgment to choose between them, including leakage-safe validation, calibration, and validated LLM judges
• Record of cost and capacity decisions for model serving, with savings measured
• Record of reporting results to executives with their limits stated

Nice to have

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

Benefits

• Comprehensive benefits
• Holistic mind, body and lifestyle programs designed for overall well-being

Before you apply

• Compensation offered depends on work location, qualifications, skills, experience and/or training
• ZoomInfo may use a software-based assessment as part of the recruitment process

About the company

ZoomInfo (NASDAQ: GTM) is an all-in-one AI GTM platform that helps sales, marketing, and customer success teams identify, engage, and convert buyers. It is powered by B2B data covering more than 100 million companies and 500 million contacts.