ZoomInfo Technologies LLC: Director, Applied AI
Headquarters: Bethesda, Maryland; Remote (US-MA, US-MD, US-WA); Vancouver, Washington; Waltham, Massachusetts
About the Role
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll 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 won’t just contribute. You’ll make things happen–fast.
You'll lead the team that builds the intelligence every ZoomInfo AI agent reasons over — what's true about companies and the people in them, how they relate, and what they're 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. You'll set the technical bar for a team of senior engineers while staying close to the code, shipping alongside the people you lead.
What You'll Do
- 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.
- 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.
- 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 won't pay off.
- Define what it takes to claim an agent's output is correct, not just that its run completed, building the evaluation datasets, regression gates, and experiment designs that back those claims.
- Own inference cost, latency, and capacity, including build-versus-buy and distillation decisions, since a model too expensive to run everywhere isn't a result.
- Hire and grow machine learning engineers, data scientists, and research engineers, developing senior engineers into technical leaders.
- Work across product, platform, security, and legal, and present results and their limits to executives, including when a system isn't good enough to launch.
What You Bring
Must-Have
- Significant experience building production machine learning systems and leading the engineers who build them by shipping alongside them.
- 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.
- 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.
- Judgment to choose between methods, including setting an evaluation bar with leakage-safe validation, calibration, and validated LLM judges.
- 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.
- Ability to report results to executives with their limits stated, including recommending against a launch.
Preferred
- Entrepreneurial experience — 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 working on 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).
Compensation
US Base Salary Range: $233,100 – $366,300 USD
Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience, and/or training. Additional compensation such as Bonus, Commission, Equity, and other benefits may also apply.
Learn more about ZoomInfo benefits here.
About Us
ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
ZoomInfo is committed to protecting your privacy. Please review our Job Applicant Privacy Notice for more details. ZoomInfo may use a software-based assessment as part of the recruitment process; more information is available here.
ZoomInfo is an equal opportunity employer. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law.
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