Partner Sales & Pre-sales Enablement Lead

Who We Are Our Team Databricks Ventures Contact Us Careers Working at Databricks Open Jobs Press Awards and Recognition Newsroom Security and Trust Security and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Overview Culture

Benefits Diversity Engineering Research Students & new grads Back to search results Partner Sales & Pre-sales Enablement Lead United States Apply now SLSQ327R509 Partner Sales & Pre-sales Enablement Lead Databricks is a partner-first company. Our exponential growth is fueled by the success of our partner ecosystem, and this role is crucial to how we scale and leverage that ecosystem to drive non-linear growth through world-class enablement programs. This role sits within the Partner Enablement team in our Field Engineering organization, whose vision is to activate and accelerate the value our customers get from their data and AI. The Partner Enablement team extends this vision by accelerating the value our partners get from aligning with Databricks. With a partner-first mission across Consulting & Systems Integrators (C&SI), Independent Software Vendors (ISV), and Cloud partners, we align on these priorities: Equip partners with the skills to ensure consistently high-quality delivery across the ecosystem Grow the size of the partner ecosystem. Accelerate sales excellence with a focus on scaling partner-sourced pipeline generation Strengthen partner capabilities in GTM Priorities Create a seamless, high-impact learning experience that helps partners find, personalize, and consume the right content As the Partner Presales Enablement Lead, you will design and deliver enablement that builds genuine presales-level technical proficiency across our partner ecosystem — equipping ISV partners to sell and position their offerings alongside Databricks, and enabling C&SI presales teams (Solution Architects, Technical Account Managers, Sales Engineers, etc.) to scope, demo, and win Data & AI opportunities with confidence. You will translate technical products and features into meaningful business-value messaging while going deep enough technically to earn the trust of a presales audience. You have an AI-builder mindset and are a self-starter who excels in a high-growth environment. You have strong project management skills to run multi-channel enablement programs, and your success is measured by the impact of your enablement solutions, your cross-functional collaboration, and technical knowledge. 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. Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Product Databricks Platform Platform Overview AI Assistant Application Development Artificial Intelligence Business Intelligence Customer Data Platform Data Engineering Data Warehousing Database Governance Security Sharing Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Product Databricks Platform Platform Overview AI Assistant Application Development Artificial Intelligence Business Intelligence Customer Data Platform Data Engineering Data Warehousing Database Governance Security Sharing Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions AI Agents AI Governance Cybersecurity Marketing Data Migration Forward Deployed Engineering Solution Accelerators Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions AI Agents AI Governance Cybersecurity Marketing Data Migration Forward Deployed Engineering Solution Accelerators Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog AI Blog Data Brew Podcast Champions of Data & AI Podcast Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog AI Blog Data Brew Podcast Champions of Data & AI Podcast About Company

Who We Are Our Team Databricks Ventures Contact Us Careers Open Jobs Working at Databricks Press Awards and Recognition Newsroom Security and Trust About Company

Who We Are Our Team Databricks Ventures Contact Us Careers Open Jobs Working at Databricks Press Awards and Recognition Newsroom Security and Trust Databricks Inc. 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2026 . All rights reserved. Apache, Apache Spark, Spark, the Spark Logo, Apache Iceberg, Iceberg, and the Apache Iceberg logo are trademarks of the Apache Software Foundation . Privacy Notice | Terms of Use | Modern Slavery Statement | California Privacy | Your Privacy Choices

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.