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ZoomInfo

Director, Applied AI

ZoomInfo

. Lead the team building the intelligence underlying ZoomInfo AI agents, including the B2B data graph, training data, model serving, machine learning, data science, LLMs, and agentic systems .

Posted 9/21/2026full-timeRemote • United StatesLead💰 $233,100 - $366,300 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building and shipping production machine learning systems, with a focus on classical machine learning, data science, and LLMs. Capable of leading teams, setting evaluation standards, and communicating complex results to executive stakeholders.

Highest-signal resume keywords
Production Machine Learning SystemsClassical Machine Learning ExpertiseLLM and Agentic Systems ExperienceEvaluation Standards SettingTeam Leadership and Development

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Supervised LearningFeature EngineeringStatistical InferenceExperiment DesignStrong SQL
Soft Skills
Clear CommunicationJudgment in Decision-Making
Tools & Technologies
Agentic Coding ToolsModel Serving
Certifications & Qualifications
ISO/IEC 42001NIST AI RMF
Industry Keywords
B2B Data GraphInference Cost ManagementLatency OptimizationCapacity PlanningPropensity Modeling

Tech Stack

Tools & technologies
SQL

About the role

Key responsibilities & impact
  • Lead the team building the intelligence underlying ZoomInfo AI agents, including the B2B data graph, training data, model serving, machine learning, data science, LLMs, and agentic systems
  • Extend ZoomInfo's B2B data graph into the long tail to improve comprehensiveness and accuracy
  • Lead work on agent memory, distinguishing user-supplied information from system-of-record data
  • Select classical machine learning, language models, or code for each problem based on measured evidence
  • Define evaluation standards for models and agents, including evaluation datasets, regression gates, and experiment designs
  • Own inference cost, latency, and capacity, including build-versus-buy and distillation decisions
  • Hire and develop machine learning engineers, data scientists, and research engineers
  • Represent the team's work across product, platform, security, and legal, and present results and limitations to executives
  • Set standards for using agentic coding tools through precise specifications and rigorous code review

Requirements

What you’ll need
  • Significant, demonstrated experience building and shipping production machine learning systems; capability matters more than years
  • Track record of hiring and developing senior machine learning engineers and data scientists against a high bar
  • Current hands-on experience shipping code, prototyping independently, and using agentic coding tools daily with rigorous review
  • Deep classical machine learning and data science expertise, including supervised learning, feature engineering, statistical inference, experiment design, and strong SQL
  • Production LLM and agentic systems experience
  • Judgment to choose between classical machine learning, language models, or code based on measured evidence
  • Experience setting evaluation standards such as leakage-safe validation and calibration
  • Experience owning inference cost, latency, and capacity alongside model quality, including build-versus-buy decisions
  • Ability to communicate results and their limits clearly to executive stakeholders
  • Preferred: entrepreneurial experience founding a company or taking a product from inception to paying customers
  • Preferred: experience in propensity modeling, ranking and retrieval, clustering, or entity resolution at scale
  • Preferred: experience with web-scale language processing over multilingual, noisy text, knowledge graphs, or user memory for agents
  • Preferred: experience with post-training and distillation, open-weight model serving, or AI governance and safety practices (ISO/IEC 42001, NIST AI RMF)

Benefits

Comp & perks
  • Comprehensive benefits
  • Holistic mind, body and lifestyle programs designed for overall well-being
  • Additional compensation such as Bonus, Commission, Equity and other benefits may also apply