D

Databricks

Builds cloud software for data analysis and AI

Senior Customer Enablement AI Programs Manager

Product ManagementConfirmed live in the last 24 hours
Full-timeUnited StatesIn-person

About the Job

Requirements

  • At least 6 years of experience in Sales Enablement, GTM Program Management, or Sales Operations in a high-growth SaaS environment.
  • A proven track record of managing complex workstreams and delivering global field motions with measurable adoption.
  • Hands-on fluency with modern AI systems, including retrieval-augmented generation pipelines, agents, and large language model-powered workflows; understand how retrieval sources, prompt design, context and data hierarchies, and grounding affect output quality, and translate that into requirements for technical teams.
  • 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.
  • Ability to work cross-functionally across Sales, Marketing, and Technical teams to ensure a unified enablement vision.
  • Expertise using data dashboards to track progress and communicate the business story behind the numbers, such as the link between enabled users and consumption lift.
  • Ability to solve ambiguous problems in a fast-moving environment and translate complex strategies into executable field instructions.

Responsibilities

  • 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 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 by designing content schemas, metadata, and chunking for accurate, grounded agent outputs, and maintain the underlying customer enablement playbook.
  • Define the usage patterns, learning milestones, and account-health thresholds that trigger agents to surface free-to-paid enablement opportunities to Account Teams.
  • Partner with technical teams to embed enablement calls to action and insights directly into field tools.
  • Define predictive signals and analytics to flag emerging account-health and skills gaps before they affect renewals or consumption, and integrate these into leadership reviews and manager coaching toolkits.
  • Establish evaluation and quality loops for agent outputs by defining quality criteria, measuring accuracy and groundedness, and driving iteration with the technical team.

Desired Qualifications

  • Familiarity with the education technology or customer training landscape.
  • Familiarity with structuring enablement and knowledge content for machine consumption, including schemas, metadata, and modularity.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

Recently Posted Jobs

Explore more opportunities at Databricks

See more jobs