Senior Customer Enablement AI Programs ManagerActive$117K

Databricks
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The opportunity

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…

What you'll do

  • 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.

What they're looking for

  • Establish evaluation and quality loops for agent outputs: defining what “good” looks like, measuring accuracy and groundedness, and driving iteration with the technical team.
  • + 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. You 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.