# Partner Sales & Pre-sales Enablement Lead

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Remote
**Role:** Sales Enablement
**Salary:** $146k – $251k/yr
**Experience:** 10+ years
**Skills:** Data Warehousing, data transformation, Machine Learning, Generative AI, presales enablement, gtm enablement, lms, AWS, Azure, GCP, Program Management, Technical Sales, Solutions Engineering
**Posted:** 2026-07-27

> Design and deliver presales enablement programs for Databricks partners (ISV and C&SI) to build technical proficiency in Data & AI. Requires 10+ years scaling technical/GTM enablement, presales background, and deep Data & AI expertise.

## Job Description

## 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 for 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

- 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.

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