Senior Customer Enablement AI Programs Manager
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own the AI strategy, product roadmap, and architecture direction for the customer enablement agent suite. You will define data inputs, retrieval sources, agent behaviors, knowledge structures, and quality evaluations. You will drive adoption, embed insights into field tools, identify predictive account signals, and turn analytics into actionable enablement recommendations.
Requirements
- 6+ years of experience in Sales Enablement, GTM Program Management, or Sales Operations in a high-growth SaaS environment
- Experience managing complex workstreams and delivering global field motions
- Fluency with RAG pipelines, agents, and LLM-powered workflows
- Experience owning a product or system area end to end
- Experience defining metrics, running experiments, and using analytics
- Experience working across Sales, Marketing, and Technical teams
- Expertise using data dashboards
- Familiarity with education technology or customer training
- Familiarity with schemas, metadata, and modular knowledge content
Responsibilities
- Own the product roadmap and architecture direction for the customer enablement agent suite
- Lead the rollout and drive field adoption of the agent suite
- Structure the enablement knowledge base for retrieval
- Define account, learning, and usage signals that trigger enablement opportunities
- Embed enablement calls-to-action and insights into field tools
- Define predictive account-health and skills-gap analytics
- Establish evaluation and quality loops for agent outputs
Benefits
- Annual performance bonus eligibility
- Equity eligibility