Director, Applied AI
Bethesda · US-MA · US-MD · US-WA · Vancouver · Waltham · USD 233,100-366,300 · Full-time · Remote · Posted Sep 17, 2026
At a glance
- Employment
- Full-time
- Workplace
- Remote
- Location
- Bethesda · US-MA · US-MD · US-WA · Vancouver · Waltham
- Salary
- USD 233,100-366,300 · OTE
About ZoomInfo
- 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.
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- ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
- ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. 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. We also consider qualified candidates with criminal histories in accordance with legal requirements.
- For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.
About the role
- You will lead the team that builds the intelligence every ZoomInfo AI agent reasons over, including what is true about companies and people, how they relate, and what they are buying.
- This role owns the B2B data graph strategy end to end, from training data through model serving, blending classical machine learning and data science with LLM and agentic systems.
- You will set the technical bar for a small, senior team while staying hands-on, shipping code and prototypes alongside the engineers you lead.
Responsibilities
- Extend ZoomInfo's B2B data graph into the long tail, making it comprehensive and accurate, including companies with little public footprint.
- Lead the team's work on agent memory, distinguishing what a user has supplied from what a system of record already owns.
- Choose the right method for each problem—classical machine learning, language models, or code—based on measured evidence, and stop work that won't pay off.
- Define the evaluation bar for the team's models and agents, building evaluation datasets, regression gates, and experiment designs that make quality claims trustworthy.
- Own inference cost, latency, and capacity as core disciplines alongside model quality, including build-versus-buy and distillation decisions.
- Hire and develop machine learning engineers, data scientists, and research engineers, growing senior engineers into technical leaders.
- Represent the team's work across product, platform, security, and legal, and present results and their limits clearly to executives.
- Set the standard for how the team uses agentic coding tools, pairing precise specifications with rigorous code review.
Requirements
- Significant, demonstrated experience building and shipping production machine learning systems, and leading by building alongside the team.
- Track record of hiring and developing senior machine learning engineers and data scientists against a high bar.
- Stay hands-on today: shipping code, prototyping independently, and using agentic coding tools daily with rigorous review.
- Deep classical machine learning and data science expertise alongside production LLM and agentic systems, with the judgment to choose between them and set evaluation standards.
- Owned inference cost, latency, and capacity alongside model quality, including build-versus-buy decisions, and communicated results and their limits clearly to executive stakeholders.
Preferred qualifications
- 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.
- Worked 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.
Benefits
- Comprehensive benefits
- Holistic mind, body and lifestyle programs designed for overall well-being
- Bonus
- Commission
- Equity
Workplace
- Remote or location-flexible options indicated by #LI-Remote
Skills
- SQL
- Machine Learning
- Data Science
- LLM
- Agentic Systems
- Supervised Learning
- Feature Engineering
- Statistical Inference
- Experiment Design
- Propensity Modeling
- Ranking And Retrieval
- Clustering
Show all 14 skills
- Entity Resolution
- Knowledge Graphs
