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Senior Customer Enablement AI Programs Manager

Databricks
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Remote$117.4k - $161.4kPosted 3mo ago

About the role

Senior-level role owning the AI strategy and roadmap for the Scaled Customer Enablement Agent Suite, driving GTM activation, applied AI, and enablement strategy to deliver prescriptive, just-in-time recommendations for global Account Teams and increase trained users across Databricks customer base.

Responsibilities

  • 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.

Qualifications

  • 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. You understand retrieval sources, prompt design, context and data hierarchies, and grounding, and can translate that into requirements for a technical team.
  • 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, Marketing, and Technical teams to ensure a unified enablement vision.
  • Expert at using data dashboards to track progress and communicate the business story behind the numbers (e.g., link between enabled users and consumption lift).
  • Able to solve ambiguous problems in a fast-moving environment and translate complex strategies into simple, executable field instructions.
  • Familiarity with the education technology or customer training landscape is a significant plus.
  • Familiarity with how enablement and knowledge content must be structured for machine consumption (schemas, metadata, modularity) is a strong plus.
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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