Partner Sales & Pre-sales Enablement Lead

Key

Responsibilities - Design Presales Enablement Programs: Architect enablement programs that build hands-on, presales-grade technical proficiency. In collaboration with Subject Matter Experts, define end-to-end learning paths spanning curriculum, assessments, and success metrics. - Enable Both ISV and C&SI Presales Personas: Educate ISV partners on how to effectively sell and position their offerings with Databricks, and equip C&SI presales teams to scope, demo, and technically qualify joint opportunities.

Ensure Databricks and partner selling teams are enabled and aligned on joint offerings mapped to business outcomes. - Strategic Alignment: Partner with leadership and partner-facing teams to identify critical skills gaps and translate business requirements into high-impact enablement initiatives. - Program & Roadmap Leadership: Own the roadmap.

Presales enablement programs, including large-scale learning events, curriculum, and enablement strategies. Improve existing partner programs and launch new programs across multiple channels. - Performance Accountability: Drive results for your partner portfolio - knowledge, badging, partner engagements, and consumption - maintaining full ownership of metrics such as training completion and certification targets. - Data-Driven Insights: Monitor and analyze KPIs (accreditations, net new learners acquired, program impact) with a close feedback loop to L&E leaders, partner leaders, and partners, to continuously optimize enablement effectiveness. - Quality Assurance & Coaching: Oversee the technical integrity of programs across the team, and evaluate and coach cross-functional training resources to ensure best-in-class delivery.

Minimum

Qualifications - Experience: 10+ years developing and scaling technical and/or GTM enablement programs within a global enterprise tech ecosystem or B2B SaaS company. - Presales/Technical Sales Background: A technical software sales, presales, or solutions-engineering background with a proven track record - you've worked directly with customers and partners and can hold a technically credible conversation with a presales audience. - Technical Credibility: Deep expertise in Data & AI technologies (Data Warehousing, Data Transformation, ML, and Generative AI), backed by a proven track record of hands-on delivery for end customers.

Industry certification in at least one of these domains is strongly preferred. - Ecosystem Knowledge: Strong understanding of both the ISV ecosystem (tech partners, data partners, built-ons/OEMs) and the Consulting & Systems Integrator (C&SI) business model, and how technical partners go to market. - Program Management: Proven track record managing technical competency models and learning journeys for large, geographically dispersed teams, and scoping, communicating, and delivering cross-functional projects on time and within budget. - Systems: Experience with learning, content-management, and reporting systems, including creating and launching field-ready enablement content in a Learning Management System (LMS). - Communication: Exceptional verbal and written communication skills with the ability to influence senior cross-functional stakeholders across enablement, industry, value, marketing, and partner teams.

Preferred

Qualifications - Bachelor's degree in a technical discipline or equivalent practical experience. - Strong background in the data and AI landscape. - Experience scaling technical enablement within Hyperscaler environments (AWS, Azure, or GCP) or similar high-growth cloud partner ecosystems. - Prior experience as part of a technical delivery team implementing Data & AI projects for external clients.

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 $182,400 - $250,800 USD Zone 2 Pay Range $164,200 - $225,700 USD Zone 3 Pay Range $155,000 - $213,200 USD Zone 4 Pay Range $145,900 - $200,650 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.