Senior Customer Enablement AI Programs Manager

As a Senior Customer Enablement AI Programs Manager, you will own the AI strategy and roadmap for the Scaled Customer Enablement Agent Suite, bringing together GTM activation, applied AI, and enablement strategy. You will 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. This role reports to the Global Customer Enablement Practice Senior Director.

• Own the product roadmap and architecture direction for the Scaled Customer Enablement Agent Suite, defining data inputs, retrieval sources, and agent behaviors that generate enablement recommendations.
• Lead the rollout and drive field adoption of the 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, account-health thresholds) that prompt agents to surface free-to-paid enablement opportunities 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, measuring accuracy and groundedness, and driving iteration with the technical team.

• 6+ years of experience in Sales Enablement, GTM Program Management, or Sales Operations in a high-growth SaaS environment.
• Hands-on fluency with modern AI systems — RAG pipelines, agents, and LLM-powered workflows — including how retrieval sources, prompt design, context and data hierarchies, and grounding affect output quality.
• Demonstrated experience owning a product or system area end to end, shipping AI-powered capabilities from concept to field adoption.
• Comfort defining metrics and running experiments, using analytics to drive iteration.
• Exceptional cross-functional ability across Sales, Marketing, and Technical teams.
• Expert at using data dashboards to track progress and communicate the business story behind the numbers.
• Familiarity with the education technology or customer training landscape is a significant plus.

Zone-based pay ranges: Zone 1 $117,400—$161,350; Zone 2 $105,600—$145,200; Zone 3 $99,800—$137,150; Zone 4 $93,900—$129,150 USD. Total compensation may also include eligibility for annual performance bonus, equity, and benefits.

Databricks is the Data and AI company. More than 20,000 organizations worldwide, including 70% of the Fortune 500, rely on the Databricks Data + AI Platform. Headquartered in San Francisco with 30+ offices around the globe.