Databricks Partner Development ManagerKMS 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 OverviewWe 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 ResponsibilitiesStrategic Alliance DevelopmentDevelop and manage an annual Joint Business Plan (JBP) with Databricks leadership, including pipeline, bookings, certifications, competencies, and GTM objectivesOwn 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 GenerationLead Strategic Account Mapping exercises with Databricks Field TeamIdentify, 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 ExpansionPosition 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 & ExecutionPartner 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.