Databricks Partner Development Manager

Kms Technology 2; Atlanta (GA); Hybrid; USD 180,000 - 300,000; Full time

Benefits offered by this job

Medical/Dental/Vision

401(k) match

Pre-tax FSA

Disability & Life Insurance

Unlimited PTO

Remote/hybrid flexibility

Career growth

OTE 250k-300k

Job summary

KMS Technology in Atlanta seeks a Databricks Partner Development Manager to lead and scale our strategic alliance within the Databricks ecosystem. This senior individual contributor role focuses on alliance growth, increasing market visibility, and unlocking partner-funded opportunities.

The ideal candidate has deep experience with hyperscaler or data platform alliances, a strong Databricks network, and a track record of co-sell success.

Qualifications

• 7+ years of experience in strategic alliances, partner development, ecosystem management, or enterprise technology sales.
• Direct experience managing or growing partnerships with Databricks, hyperscalers, or major cloud/data platform ecosystems.
• Demonstrated success driving co-sell revenue, partner-sourced pipeline, and ecosystem growth exceeding $10M+ annually.
• Strong understanding of enterprise data, analytics, AI/ML, cloud modernization, and digital transformation initiatives.
• Experience navigating complex enterprise sales organizations and executive stakeholder environments.
• Experience developing Joint Business Plans, executive governance models, and co-sell operating frameworks.
• Proven ability to influence without authority across sales, delivery, and executive leadership teams.
• Experience working within Global Systems Integrators, consulting firms, or technology services organizations

Responsibilities

• Develop and manage a Joint Business Plan with Databricks leadership including pipeline and GTM objectives.
• Own and expand the Databricks partnership across sales, alliances, marketing.
• Create multi-year growth strategy aligned to revenue and AI transformation goals.
• Identify initiatives to elevate partner tier and co-sell alignment within the Databricks ecosystem.
• Lead executive governance and relationships with Databricks regional leaders and field teams.
• Lead account mapping with Databricks field team to identify co-sell opportunities.
• Coordinate joint GTM motions such as webinars, events, and executive briefings.
• Establish KPIs and executive reporting on alliance performance and pipeline contributions.

Skills

Strategic alliances

Partner development

Ecosystem management

Enterprise technology sales

Databricks partnerships

Job description

About KMS Technology

KMS Technology is a global AI firm helping enterprises modernize how work gets done through AI. We focus on intelligent workflows, cloud, data, and AI-native solutions. We partner with healthcare innovators, high-growth ISVs, and enterprises to design and build scalable platforms, modern applications, and agentic workflow systems that drive business outcomes.

Headquartered in Atlanta with global delivery centers across Vietnam, Mexico, and Poland, KMS combines deep AI engineering expertise with agility, and speed to help organizations accelerate innovation and re-architect enterprise operations for the AI-first era.

Backed by strategic investment from Sunstone Partners, KMS is a next-generation technology partner focused on workflow modernization, AI enablement, data fabric strategies, and outcome-driven transformation. Through strong partnerships with AWS, Databricks, and leading ecosystem players, we help clients unlock the full value of AI, cloud, and intelligent automation.

At KMS, our people-first culture is rooted in technical excellence, entrepreneurial thinking, and customer impact. We foster an environment where talented professionals can innovate, grow, and help shape the future of digital transformation.

Position Overview

We are seeking a high-impact, relationship-driven Databricks Partner Development Manager to lead and scale our strategic partnership within the Databricks ecosystem. This is a senior individual contributor role focused on driving alliance growth, increasing market visibility, unlocking partner-funded opportunities, and elevating KMS’s standing within the Databricks partner ecosystem.

The ideal candidate has deep experience managing hyperscaler or data platform alliances, understands the Databricks ecosystem and GTM motion, and possesses a strong network across Databricks sales, partner, and solution engineering organizations.

Key Responsibilities

Strategic Alliance Development

• Develop and manage an annual Joint Business Plan (JBP) with Databricks leadership, including pipeline, bookings, certifications, competencies, and GTM objectives
• Own and expand the strategic partnership relationship with Databricks across sales, alliances, marketing, and field leadership.
• Develop and execute a multi-year Databricks ecosystem growth strategy aligned to KMS revenue and AI transformation goals.
• Identify and drive initiatives that elevate partner tier/status, competencies, certifications, and co-sell alignment within the Databricks ecosystem.
• Build executive-level relationships with Databricks regional leaders, account executives, partner managers, and solution architects.

Revenue & Pipeline Generation

• Lead Strategic Account Mapping exercises with Databricks Field Team
• Identify, source, and influence co-sell opportunities with Databricks field teams.
• Create pathways to partner-funded programs including workshops, assessments, migration initiatives, accelerators, and innovation engagements.
• Drive partner-sourced and partner-influenced pipeline through account mapping, Joint opportunity planning, strategic pursuits and co-ordinated field engagement with Databricks sales team.

Ecosystem & Market Expansion

• Position KMS as a premier Databricks implementation, AI, and data engineering partner.
• Coordinate joint GTM motions including webinars, customer events, executive briefings, industry campaigns, and marketplace initiatives.
• Monitor Databricks ecosystem trends, partner priorities, funding programs, and strategic initiatives to identify new growth opportunities.
• Represent KMS at Databricks events, partner summits, conferences, and industry forums.
• Establish executive governance through executive interlocks, and regional operating cadences.

Internal Enablement & Execution

• Partner with delivery, architecture, marketing, and sales teams to develop repeatable offerings aligned to Databricks priorities.
• Develop repeatable Co-sell motion and sales play focussed on Help shape solution accelerators and service offerings around AI, data modernization, lakehouse transformation, analytics, and enterprise AI.
• Drive internal enablement around Databricks messaging, programs, certifications, and competitive positioning.
• Establish KPIs and executive reporting around alliance performance, pipeline contribution, certifications, and partner engagement.

Requirements

Required Experience

• 7+ years of experience in strategic alliances, partner development, ecosystem management, or enterprise technology sales.
• Direct experience managing or growing partnerships with Databricks, hyperscalers, or major cloud/data platform ecosystems.
• Demonstrated success driving co-sell revenue, partner-sourced pipeline, and ecosystem growth exceeding $10M+ annually.
• Strong understanding of enterprise data, analytics, AI/ML, cloud modernization, and digital transformation initiatives.
• Experience navigating complex enterprise sales organizations and executive stakeholder environments.
• Experience developing Joint Business Plans, executive governance models, and co-sell operating frameworks.
• Proven ability to influence without authority across sales, delivery, and executive leadership teams.
• Experience working within Global Systems Integrators, consulting firms, or technology services organizations

Preferred Experience

• Existing network and relationships within the Databricks field organization.
• Experience working within consulting, professional services, systems integrators, or technology services organizations.
• Familiarity with partner program structures, MDF/funding mechanisms, competency programs, and marketplace strategies.
• Understanding of modern data architectures including Lakehouse, AI platforms, GenAI, data engineering, and cloud-native analytics.

What Success Looks Like

• Increase sourced and influenced Databricks-related pipeline.
• Expand executive alignment and field engagement with Databricks leadership.
• Unlock partner-funded opportunities and joint GTM investments.
• Improve partner tier/status and ecosystem visibility.
• Position KMS as a recognized strategic Databricks services partner in AI and data transformation.

Benefits

Why Join KMS

This is a unique opportunity to help shape a high-growth AI and data transformation practice while building one of KMS Technology’s most strategic ecosystem partnerships. You will work alongside executive leadership and play a pivotal role in driving market impact, revenue growth, and ecosystem influence.

Why You’ll Love It Here

KMS has been named a Best Place to Work by the Atlanta Business Chronicle and a thirteenth-time Best & Brightest Company to Work For®. We offer:

• 100% company-paid Medical, Dental & Vision insurance
• 401(k) with generous company match
• Pre-tax FSA options
• Employer Paid Short Term Disability, Long Term Disability, and Basic Life Insurance
• Self-managed Unlimited PTO + Paid Parental Leave
• Remote/hybrid flexibility
• Opportunities for career growth, mentorship, and leadership
• Target OTE + Benefits is $250,000 - $300,000 annually

If you thrive in high-stakes conversations, love solving business-critical challenges, and want to sell services that truly drive impact—we want to meet you.

KMS Technology is proud to be an equal opportunity employer. We value diverse perspectives and are committed to building an inclusive environment for all employees. We do not discriminate in hiring or any employment decision based on race, color, genetic profile, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), martial status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other characteristics protected by law.