About the Company
ZoomInfo (NASDAQ: GTM) is a go-to-market intelligence platform that helps businesses grow through AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a comprehensive view of their customers, helping sales teams make better-informed decisions.
About the Role
ZoomInfo is seeking a senior individual contributor to set the technical direction for the intelligence layer that powers its AI agents. This layer helps agents understand companies, the people connected to them, their relationships, and their buying intent.
In this role, you will own technical strategy across data graphs, entity resolution, buying intent, and agent context while remaining hands-on with the most challenging machine learning and data problems. You will determine when classical machine learning, applied statistics, language models, or AI agents are best suited to a problem and establish standards that other teams can adopt.
This is a technical leadership position without direct reports. You will influence how teams design, evaluate, deploy, and measure production machine learning systems while working closely with senior engineers, product teams, and company leadership.
Key Responsibilities
Set technical strategy for data graphs, entity resolution, buying intent, and agent context, defining priorities and how these capabilities work together.
Identify and solve new technical challenges, including information extraction for companies with limited public information and semantic buying-intent analysis at web scale.
Evaluate potential solutions and make deliberate decisions about what to build, prioritize, or leave out.
Establish evaluation standards for machine learning and AI systems, including sampling methods, human-labeled datasets, LLM judges validated against human assessments, and release gates.
Define data contracts connecting the data graph, intent signals, and the AI agents that consume them, including systems for agent memory.
Ensure AI and machine learning systems remain cost-effective to operate across large datasets.
Establish shared modeling and evaluation practices, including baseline performance requirements, uncertainty reporting, and metrics that accurately reflect system quality.
Lead technical design reviews and mentor senior engineers.
Contribute to hiring decisions and represent the team's technical perspective in discussions with product teams and leadership.
Guide decisions about model training and deployment costs, including when to self-host models, distill them, or use hosted model services.
Remain hands-on in production Python, SQL, distributed data processing, and the development of machine learning systems.
Required Qualifications
Experience setting technical direction as an individual contributor for a problem area spanning multiple teams, with machine learning systems deployed in production and maintained after launch.
Broad knowledge of classical machine learning on large, complex tabular datasets, applied statistics, large-scale language processing, and LLM agents or multi-step systems, with recognized depth in at least one area.
Experience defining evaluation standards for systems without a single objectively correct answer and driving adoption beyond your immediate team.
Experience validating LLM-based evaluators against human-labeled results and communicating the limitations of evaluation methods.
A track record of improving how teams build or measure systems through shared baselines, review practices, or other technical standards.
Experience making model training and serving decisions based on cost and capacity, including self-hosting, model distillation, and hosted model options.
Strong production Python skills and advanced SQL proficiency.
Experience with distributed data processing.
Regular use of AI coding tools, combined with careful review and validation of generated code.
Preferred Qualifications
Experience with ranking and retrieval systems, including embeddings, learned re-ranking, and evaluation metrics such as recall@k, mean reciprocal rank (MRR), and normalized discounted cumulative gain (nDCG).
Experience with entity resolution, knowledge graphs, or web-scale information extraction using complex real-world data.
Experience training and serving open-weight models with PyTorch or an equivalent framework, including GPU capacity planning.
Experience building user memory or context systems for AI agents.
Experience protecting LLM-based systems against adversarial inputs and prompt injection.
Salary and Benefits
US base salary range: $192,500–$302,500 per year.
Additional compensation may include bonus, commission, equity, and other benefits, where applicable.
ZoomInfo offers comprehensive benefits and programs supporting employee and family well-being across health, lifestyle, and overall wellness.
Actual compensation depends on factors such as work location, qualifications, skills, experience, and training. Candidates can discuss the salary range for their intended work location with their recruiter.
Location and Work Arrangement
Remote. Compensation may vary by work location.
Recruitment and Privacy
ZoomInfo may use a software-based assessment during the recruitment process. Information about the assessment tool and the results of its most recent bias audit are available through the company's recruitment materials.
ZoomInfo is committed to protecting applicant privacy. Candidates should review the company's Job Applicant Privacy Notice for information about how their personal data is handled.
Equal Employment Opportunity
ZoomInfo is an equal opportunity employer. Employment decisions are based on qualifications, merit, and business needs. The company welcomes applicants 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. Qualified candidates with criminal histories are considered in accordance with legal requirements.
Massachusetts Applicants: Massachusetts law prohibits requiring or administering a lie detector test as a condition of employment or continued employment. Violations may result in criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.