Senior Customer Enablement AI Programs Manager

Databricks is the Data and AI company, and they are seeking a Senior Customer Enablement AI Programs Manager. This role will own the AI strategy and roadmap for the Scaled Customer Enablement Agent Suite, focusing on automating GTM processes and providing enablement insights to improve account health and user training.

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

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. 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
• 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., the 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