Director, Applied AI
Core
Leads the team responsible for intelligence powering AI agents and decision-making systems in a B2B data environment, owning the end-to-end data graph strategy.
Role type
Director, Applied AI (Technical Leadership & Hands-on Engineering)
Builds
B2B data graph, AI agents, decision-making systems, model serving infrastructure
Domain
B2B Data, Applied AI, Machine Learning, Knowledge Graphs
Deliverable
production ML models | product features | infrastructure
Required skills
Technical leadership, hands-on engineering, classical machine learning, LLMs, agentic systems, SQL, model evaluation, build-versus-buy decisions, inference optimization, team hiring/mentoring
Preferred skills
Entrepreneurial experience, propensity modeling, ranking/retrieval, knowledge graphs, model distillation, AI governance
Technologies
LLMs, agentic systems, classical ML, SQL, open-weight models
Responsibilities
Lead strategy and development of a comprehensive B2B data graph; Own the end-to-end data graph lifecycle; Develop systems enabling AI agents to reason over company/people data; Establish evaluation standards for ML models and AI agents; Remain hands-on writing production code and developing prototypes; Hire and mentor senior ML engineers and data scientists; Communicate technical results to executive stakeholders
Seniority
Director, Technical Leadership & Hands-on IC
