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Greenhouse

GTM Motions & Skills Enablement Lead

Databricks · United States

Apply on Greenhouse Open full page

Level: Lead
Where: United States
Posted: 3h ago
Last seen on its board: Unknown

Skills in this posting

Stakeholder Management
Product Management
Cross-functional Collaboration
Databricks
Data Warehousing
Analytics
Excel

The posting

SLSQ427R611 The Impact You Will Have The pace of Data and AI is outrunning how most teams enable their field. Our Field has distinct roles, tenures, segments, industries, and regions. The problem? Generic enablement doesn’t meet their needs. In this role, you will help Databricks revolutionize the way we enable by building the strategy, plan, process, and engine that turns globally applicable enablement into targeted tracks for every seller. At Databricks, we are all builders. Partnering with the Global Sales Enablement team and Enablement Partners in-region, you will ship the apps, AI skills, and processes that make this a reality for our Field. This is an individual-contributor role; you lead through cross-functional influence and what you build. What You'll Do - Own the strategy, plan, process, and engine that enables GTM motions and skills-based enablement across sales and sales development roles. - Build the AI-native system that adapts globally applicable enablement into personalized tracks by role, tenure and skill, segment, and industry. - Build hands-on: apps, agents and skills, content, and automated processes, all AI-first, piloting and iterating fast rather than waiting for perfection. - Partner with the teammates who create globally applicable enablement so their work plugs cleanly into your adaptation engine. - Coordinate with regional teams around the world to pilot, refine, and localize outputs. - Install operating rigor, cadence, metrics, and reviews, that other teams adopt, and run a two-way loop that channels field friction back into what gets built. - Influence and align cross-functional stakeholders and senior sales leaders on the model and its priorities. What Success Looks Like - Within 6 to 12 months, a functional, AI-first process that delivers personalized enablement by role, tenure, segment, and industry. - Your work moves the numbers that matter: faster ramp, higher seller productivity, and measurable influence on downstream pipeline and win rates. - Globally applicable enablement flows into personalized tracks through a repeatable process. - Regional teams treat the model as their own, and the operating rigor you install becomes the standard beyond your own programs. - Databricks never launches another “one-size-fits-all” initiative again. What We Look For - 7+ years in a GTM role (sales or pre-sales), product management, product marketing, or sales enablement for a technical data and AI platform, with demonstrated, sharp instincts for what high-quality enablement looks like. - Deep fluency across the data, AI, and frontier-model landscape, with a track record of simplifying complex technical concepts for customers. - A fully hands-on, AI-native builder who personally builds and ships apps, skills, content, and processes with AI, and leads high-impact enablement programs across motions, products, and seller roles at scale without losing depth. - Exceptional cross-functional stakeholder management, with the EQ and exec presence to influence senior sales leaders as a trusted advisor. - The bias for action to rapidly pilot, assess the results, and iterate. - Sound judgment in ambiguous, multi-priority situations. - You elevate the Culture Principles beyond your own work, helping others apply them through scale and tradeoffs. Nice to Have - Instructional design or adaptive and personalized learning experience. 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 $143,700 - $197,550 USD Zone 2 Pay Range $129,300 - $177,750 USD Zone 3 Pay Range $122,200 - $167,950 USD Zone 4 Pay Range $115,000 - $158,050 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&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 LinkedIn , X , YouTube , and Instagram . 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.

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