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Resident Advisor
George Washington University Student
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● Program Planning, Implementation, and Assessment
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Senior Project Manager
Actalent
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- $62.5 to $72.11 USD / hour
Job Title: Senior Project ManagerJob DescriptionWe are seeking an experienced Senior Project Manager to provide onsite leadership and construction management oversight for a large-scale…
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KMS Technology

Databricks Partner Development Manager

Atlanta, GA, United States

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Job details

Experience: 7+ years of experience in strategic alliances, partner development, ecosystem management, or enterprise technology sales.
Posting language: English
Posted: Nov 2, 2026

Original job description

Company Description KMS provides the enterprise execution layer, where work becomes outcomes. We are a global, AI-native technology services company focused on Enterprise Execution. We help enterprises build and modernize applications, create trusted data foundations, put AI into production, and continuously run and improve the systems that execute the work. Founded in 2009 in the U.S., KMS has grown to serve clients worldwide, with locations across the U.S., Vietnam, Poland, and Mexico. We are trusted by technology and business leaders for the quality of our engineering, delivery, and execution. Our mission is to help enterprises move from business intent to measurable outcomes faster - with the control, reliability, governance, and confidence required to scale. At KMS, we believe sustainable growth is built on the success of our clients and employees and on making a lasting contribution to our communities.

More about KMS Technology:

Website: https://kms-technology.com Linkedin: https://www.linkedin.com/company/kms-technology

Job Description

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.

Qualifications

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.

Additional Information 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.

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