APJ Manufacturing & Automotive Industry GTM Leader
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About This Role
Databricks is seeking a senior executive to lead the Manufacturing industry go-to-market motion across Asia Pacific and Japan. This role involves shaping and driving how Databricks engages the industrial sectors in the region. The ideal candidate will have deep industry domain knowledge, a bias for action, and a proven track record of harnessing the transformative potential of data and AI to drive real business value. The role reports to the Global GTM Head for Manufacturing, Transportation, and Energy. The executive will operate at the intersection of industry expertise, customer engagement, and commercial strategy.
Key ResponsibilitiesAI-extracted
- 1Lead the strategic and operational execution of GTM initiatives across the manufacturing and automotive industries in APJ, driving pipeline growth and accelerating customer adoption
- 2Build strong alignment with APJ sales, field engineering, marketing, partnerships, and product teams to develop and execute industry-specific GTM programs
- 3Cultivate and maintain executive-level relationships with customers, partners, and key industry stakeholders across the APJ region
- 4Develop and deliver thought leadership through industry publications, conferences, and executive briefings to position Databricks as the platform of choice for the industry
- 5Define, track, and report on key performance indicators (KPIs) for GTM initiatives, continuously refining plans based on data and field insights
RequirementsAI-extracted
- Bachelor's degree in Business, Engineering, or a related field; MBA or equivalent post-graduate qualification strongly preferred
- 10+ years of leadership experience in the manufacturing sector, including at least 5 years in a GTM, strategy, or business development role within enterprise technology
- Proven success taking technology products or platforms to market with a clear industry focus and measurable commercial outcomes
- Expert-level domain knowledge in one or more of the following areas: software-defined vehicles, industrial AI, agentic supply chain management, or AI-driven engineering and R&D
- Strong understanding of the modern data and AI technology landscape — and how it applies to manufacturing operations, quality, supply chain, and innovation
Perks & BenefitsAI-extracted
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