Senior Delivery Partner Manager (AI)

TL;DR

Senior Delivery Partner Manager (AI): Overseeing the Databricks Delivery Partner Program to accelerate customer outcomes through strategic partnerships with system integrators with an accent on partner enablement, delivery governance, and Gen AI capability ramp-up. Focus on building data-driven RFP processes, managing commercial agreements, and ensuring high-quality service delivery across complex enterprise migrations.

Location: Must be based in the United States

Salary: $124,800 – $214,500 USD

Company

Databricks is the data and AI company, providing a unified platform for data, analytics, and AI used by over 50% of the Fortune 500.

What you will do

• Manage relationships with Global and Regional System Integrators to support bi-directional pipeline and project engagements.
• Develop and implement a data-driven RFP process for partner selection in complex multi-phase migration deals.
• Drive delivery governance, including CSAT and partner quality metrics, to ensure successful implementation of Databricks services.
• Lead initiatives to incubate and ramp new partners with Gen AI capabilities.
• Collaborate with cross-functional teams to support contractual negotiations and resource planning for partner-led projects.
• Coach and mentor team members while advocating for partner needs internally.

Requirements

• Must be based in the United States
• Extensive experience in partner management or consulting within an FDE or similar technical organization.
• Proven track record of managing demand pipelines and resource planning for large enterprise organizations.
• Experience managing commercial agreements, including statements of work and services management.
• Strong ability to work directly with partners and customers to execute solutions based on business requirements.
• Experience in upskilling third-party organizations to provide delivery capabilities.

Culture & Benefits

• Comprehensive benefits and perks tailored to regional needs.
• Commitment to a diverse and inclusive culture with equal employment opportunity standards.
• Opportunity to work on complex distributed processing and machine learning problems.
• Access to professional development and thought leadership opportunities within the AI landscape.