Senior Customer Enablement AI Programs Manager

About the Company

Responsibilities

• ● Own the AI strategy and roadmap for the Scaled Customer Enablement Agent Suite - bringing together GTM activation, applied AI, and enablement strategy.
• ● Define how the agents retrieve, reason over, and surface enablement insights to global Account Teams, turning learner and account data into prescriptive, just-in-time recommendations that improve account health and grow the number of trained users across our customer base.
• ● Automate GTM processes to ensure Account Teams and customers receive consistent Databricks enablement planning resources.
• ● Drive the AI roadmap for customer enablement, compounding enablement as a strategic leverage for our customers and for Databricks.
• ● Own the product roadmap and architecture direction for the Scaled Customer Enablement Agent Suite - defining the data inputs, retrieval sources, and agent behaviors that generate enablement recommendations.
• ● Lead the rollout and drive field adoption of the Scaled Customer Enablement Agent Suite, delivering automated learning insights and proposals to Account Teams.
• ● Structure the enablement knowledge base for retrieval - designing content schemas, metadata, and chunking so agents return accurate, grounded outputs - and maintain the underlying customer enablement playbook.
• ● Define the signals and triggers - usage patterns, learning milestones, and account-health thresholds - that prompt the agents to surface a free-to-paid enablement opportunity to Account Teams at the right moment.
• ● Partner with technical teams to embed enablement calls-to-action and insights directly into field tools.
• ● Define predictive signals and analytics that flag emerging account-health and skills gaps before they impact renewals or consumption, and integrate these into leadership reviews and manager coaching toolkits.
• ● Establish evaluation and quality loops for agent outputs - defining what "good" looks like, measuring accuracy and groundedness, and driving iteration with the technical team.

Requirements

• ● 6+ years of experience in Sales Enablement, GTM Program Management, or Sales Operations in a high-growth SaaS environment.
• ● Proven track record of managing complex workstreams and delivering global field motions with measurable adoption.
• ● Hands-on fluency with modern AI systems - RAG pipelines, agents, and LLM-powered workflows.
• ● Ability to understand how retrieval sources, prompt design, context and data hierarchies, and grounding affect output quality, and can translate that into requirements a technical team can build against.
• ● Demonstrated experience owning a product or system area end to end - defining requirements, collaborating with engineering and data teams, and shipping AI-powered capabilities from concept to field adoption.
• ● Comfort defining metrics and running experiments - instrumenting agent performance, measuring output quality and field adoption, and using analytics to drive iteration.
• ● Exceptional ability to work cross-functionally across Sales.