Senior Customer Enablement AI Programs Manager

CSQ426R319

Senior Customer Enablement AI Programs Manager

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 enablement insights to global Account Teams, turning learner and account data into prescriptive, just-in-time recommendations that improve account health and grow the number of trained users across our customer base.

By automating GTM processes, you will ensure Account Teams and customers receive consistent Databricks enablement planning resources. You will be responsible for driving the AI roadmap for customer enablement, compounding enablement as a strategic leverage for our customers and for Databricks.

This role will report to the Global Customer Enablement Practice Senior Director. This is an exciting opportunity for a motivated and innovative entrepreneur with a passion for working across departments and across regions.

The impact you will have:

• 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.

What we look for

• 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.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range

$117,400—$161,350 USD

Zone 2 Pay Range

$105,600—$145,200 USD

Zone 3 Pay Range

$99,800—$137,150 USD

Zone 4 Pay Range

$93,900—$129,150 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.