Most Loved Workplace® Certified Job

Senior Customer Enablement AI Programs Manager

Most Loved Workplace® Certified Job

92% of candidates apply because they are a Most Loved Workplace®

United States

Education & Training

About the Role

At Databricks, a Most Loved Workplace® certified employer in the Technology space, Democratizing data and AI for every organization worldwide.

<h3><strong>Senior Customer Enablement AI Programs Manager</strong></h3>

<p>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.&nbsp;</p>

<p>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.&nbsp;&nbsp;</p>

<p>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.&nbsp;<strong><br></strong></p>

<p><strong>The impact you will have:&nbsp;</strong></p>

<ul>

<li>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.</li>

<li>Lead the rollout and drive field adoption of the Scaled Customer Enablement Agent Suite, delivering automated learning insights and proposals to Account Teams.</li>

<li>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.</li>

<li>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.</li>

<li>Partner with technical teams to embed enablement calls-to-action and insights directly into field tools.</li>

<li>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.</li>

<li>Establish evaluation and quality loops for agent outputs — defining what “good” looks like, measuring accuracy and groundedness, and driving iteration with the technical team.</li>

</ul>

<ul>

<li>6+ years of experience in Sales Enablement, GTM Program Management, or Sales Operations in a high-growth SaaS environment.</li>

<li>Proven track record of managing complex workstreams and delivering global field motions with measurable adoption.</li>

<li>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.</li>

<li>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.</li>

<li>Comfort defining metrics and running experiments — instrumenting agent performance, measuring output quality and field adoption, and using analytics to drive iteration.</li>

<li>Exceptional ability to work cross-functionally across Sales, Marketing, and Technical teams to ensure a unified enablement vision.</li>

<li>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).</li>

<li>Able to solve ambiguous problems in a fast-moving environment and translate complex strategies into simple, executable field instructions.</li>

<li>Familiarity with the education technology or customer training landscape is a significant plus.</li>

<li>Familiarity with how enablement and knowledge content must be structured for machine consumption (schemas, metadata, modularity) is a strong plus.</li>

</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>&nbsp;</p>

<p><strong>Pay Range Transparency</strong></p>

<p><span style="font-weight: 400; font-size: 14px;">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.&nbsp; 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 <a href="https://www.Databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p>

<p>&nbsp;</p></div><div class="title">Zone 1 Pay Range</div><div class="pay-range"><span>$117,400</span><span class="divider">&mdash;</span><span>$161,350 USD</span></div></div><div class="pay-input"><div class="title">Zone 2 Pay Range</div><div class="pay-range"><span>$105,600</span><span class="divider">&mdash;</span><span>$145,200 USD</span></div></div><div class="pay-input"><div class="title">Zone 3 Pay Range</div><div class="pay-range"><span>$99,800</span><span class="divider">&mdash;</span><span>$137,150 USD</span></div></div><div class="pay-input"><div class="title">Zone 4 Pay Range</div><div class="pay-range"><span>$93,900</span><span class="divider">&mdash;</span><span>$129,150 USD</span></div></div></div><div class="content-conclusion"><p><strong>About Databricks</strong></p>

<p><span style="font-family: arial, sans-serif;">Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/Databricks">LinkedIn</a>, <a href="https://x.com/Databricks">X</a>, <a href="https://www.youtube.com/@Databricks">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en">Instagram</a>.<br><br><strong>Benefits<br><br></strong></span>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 <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p>

<p><strong>Our Commitment to Diversity and Inclusion</strong></p>

<p>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.</p>

<p><strong>Compliance</strong></p>

<p><strong><span style="font-weight: 400;">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.</span></strong></p></div>

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Why This Is a Most Loved Workplace® Certified Job

Systemic Collaboration

As Databricks continues our rapid growth, we strive to maintain a culture as open and transparent as it was in Databricks’s early days. Making sure employees have regular access to our CEO and co-founders to hear directly about our vision and priorities helps our employees forge a connection between Databricks priorities and their daily work.

Positive Vision for the Future

Databricks’ culture principles are derived from an internal study of the behaviors that have led to high impact work at Databricks. These values have a direct impact on company culture and play a large part in connecting teams across the organization. We believe in being customer-obsessed, truth-seeking, operating from first principles, having a bias for action, and putting Databricks first. Our co-founders are fully involved in day-to-day operations, including business and technical reviews, working alongside our team members to ensure that we are always aligned with our values.

Alignment of Values

Databricks’ CEO and Co-founder, Ali Ghodsi leads by example with a focus on truth-seeking and first principles thinking, two of Databricks’ core values that stay true to Databricks’s origins in academia. He champions the importance of data and reason to question biases and inform decisions. Ali remains hands-on with research and development and hosts company-wide weekly all hands, with a CEO “ask me anytime” session at the beginning of every agenda. His transparency and accessibility are core to the open and collaborative culture of Databricks.

Respect

At Databricks, we cultivate an environment where all employees can bring their unique selves and are empowered to do the best work of their careers. To ensure all voices are heard and ideas are valued, we conduct annual culture and pulse surveys and host all-hands Q&As to collect feedback from all employees. We then report back to Databricks on the specific changes implemented from the feedback collected to ensure employees feel heard and that their feedback is valued. In addition, we invest in our seven Employee Resource Groups (ERGs) that offer support and employee engagement events for individuals from underrepresented backgrounds and allies.

Killer Outcomes

Databricks prioritizes offering an exceptional employee experience by investing in tools, workspaces, and community-building. Our collaboration-first, hybrid model offers flexibility with in-person touchpoints like our annual employee kickoff, weekly CEO all-hands with happy hours, and monthly team building budgets. We are especially focused on maintaining a culture of transparency, honesty, and trust, with leaders actively engaging across channels like Slack and all hands while also championing inclusion efforts through ERG sponsorship. These initiatives help our team feel connected, valued, and empowered to do their best work.

What It's Like to Work Here

zap Bias for Action

lightbulb First Principles Innovation

users Collaborative Excellence

target Truth-Seeking Rigor

compass Generational Mission Focus

Certified for: Global Top 100 Most Loved Workplaces®, Certified Most Loved Workplaces® 2025, Top 100 Most Loved Workplaces® 2025

Frequently Asked Questions About Working at Databricks

Common questions candidates ask about this role and Databricks's workplace

With the Data Intelligence Platform, Databricks democratizes insights to everyone in an organization. Built on an open lakehouse architecture, the Data Intelligence Platform provides a unified foundation for all data and governance, combined with AI models tuned to an organization’s unique characteristics. Now, anyone in an organization can benefit from automation and natural language to discover and use data like experts, and technical teams can easily build and deploy secure data and AI apps and products. With origins in academia and the open source community, Databricks was founded in 2013 by the original creators of the lakehouse architecture and open source projects Apache Spark™, Delta Lake, MLflow and Unity Catalog.

Please review the specific job listing or contact Databricks's recruiting team for details on remote or hybrid work options for this role.

Salary information may vary by role and location. Please check the specific job listing or discuss compensation during the interview process.

Databricks is an established organization in its industry. The company is a certified Most Loved Workplace®, highlighting a strong, positive culture and committed workforce.

Key benefit categories include: Health & Wellness, Work-Life Balance, Office & Lifestyle, Professional Development, Financial. You can view more details on their CertCheck profile.

The day-to-day environment is guided by core values such as Bias for Action and First Principles Innovation and Collaborative Excellence.

The company has committed to inclusive practices including: Customer Obsession with Integrity and Empowering Every Team Member.

They score particularly well in the area of Systemic Collaboration. They have earned Most Loved Workplace® certifications including: Global Top 100 Most Loved Workplaces® and Certified Most Loved Workplaces® 2025.

Databricks currently has 808 open positions. They are hiring across departments like Field Engineering - Other, Delivery Solutions Architects, Enterprise Sales. You can view all current openings at certcheck.mostlovedworkplace.com/companies/databricks/jobs.

The interview process typically involves an initial recruiter screen followed by team interviews. Please contact Databricks's recruiting team for specific details on this role's process.