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Director, Applied AI

🕒 September 21

🦀 Maryland, Massachusetts, +1 more states – Remote

infoinfo

💵 $233.1k - $366.3k / year

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

Where this job comes from

Posted on ZoomInfo's careers page, not through a job board

First seen by Remote Rocketship September 21

Still open on ZoomInfo's site. Checked 4 hours ago.

Logo of ZoomInfo

ZoomInfo

1001 - 5000 employees

💼 Consulting

📣 Marketing

☁️ SaaS

💰 Private Equity Round on 2014-04

Consulting • Marketing • SaaS

ZoomInfo is a leading provider of go-to-market intelligence solutions for sales and marketing professionals. The platform offers comprehensive data insights and analytics to help businesses identify target audiences, manage customer relationships, and drive revenue growth. By leveraging advanced technologies and extensive databases, ZoomInfo enables organizations to optimize their sales strategies and enhance operational efficiency.

📋 Description

• 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

• 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

• 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

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