Senior Customer Enablement Program Manager

Databricks
United StatesPosted 4 April 2026

Job Description

CSQ426R319 Senior Customer Enablement Program Manager As a Senior Program Manager in the Global Customer Enablement Practice, you will define and execute the strategy for integrating learning consultancy expertise with AI tools to drive accelerated enablement growth. You will own our new Scaled Customer Enablement Agent Suite, giving global Account Teams prescriptive, just-in-time insights to improve account health and quickly increase the number of trained users across our customer base. By automating strategic processes, you will ensure every customer receives consistent enablement resources. You will be responsible for executing the AI roadmap for customer enablement, transforming training into a powerful business driver for Databricks. This will streamline the customer experience while freeing up our Field Teams to focus on solving the world’s toughest data + AI problems with our customers. 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: Lead the rollout and field adoption of the Scaled Agent Suite, delivering automated learning plans and proposals to Account Teams. Maintain the customer enablement playbook, optimizing content for modularity and AI agent consumption. Automate the free-to-paid nurture motion, converting learner data into timely B2B opportunities for Account Teams. Partner with technical teams to embed enablement calls-to-action and insights directly into field tools. Integrate training he alth data into leadership reviews and provide managers with coaching toolkits for user enablement and account health. 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. Comfortable working with RAG-based AI tools (such as Glean) and understanding how data inputs and hierarchies affect AI-generated outputs. 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. 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 Francisc ... (truncated, view full listing at source)
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