
The Data and AI Company.
APJ Manufacturing & Automotive Industry GTM Leader
SLSQ427R271
Databricks is looking for a bold, strategic, and execution-oriented senior executive to lead our Manufacturing industry go-to-market (GTM) motion across Asia Pacific and Japan (APJ). As a key member of our global industry GTM team, you will shape and drive how Databricks engages the industrial sectors in one of the world's most dynamic and complex regional markets.
This role reports to the Global GTM Head for Manufacturing, Transportation, and Energy, with deep day-to-day collaboration with APJ sales, field engineering, and GTM leadership. You will operate at the intersection of industry expertise, customer engagement, and commercial strategy - helping Databricks win in a market where data and AI are redefining how physical products are built, delivered, and optimized.
If you bring 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 - we want to hear from you.
Responsibilities:
- Lead the strategic and operational execution of GTM initiatives across the manufacturing and automotive industries in APJ, driving pipeline growth and accelerating customer adoption
- Build strong alignment with APJ sales, field engineering, marketing, partnerships, and product teams to develop and execute industry-specific GTM programs that convert market opportunity into revenue
- Cultivate and maintain executive-level relationships with customers, partners, and key industry stakeholders across the APJ region — with particular focus on Japan, Korea, and India
- Develop and deliver thought leadership through industry publications, conferences, and executive briefings to position Databricks as the platform of choice for the industry
- Provide ongoing analysis of market trends, competitive dynamics, and customer needs to sharpen our industry strategy and identify high-value growth opportunities
- Define, track, and report on key performance indicators (KPIs) for GTM initiatives, continuously refining plans based on data and field insights
- Travel regularly across the APJ region to support customer meetings, executive engagements, and industry events
Qualifications:
- 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
- Familiarity with key manufacturing and automotive industry standards bodies and frameworks across the APJ region
- Strong understanding of the modern data and AI technology landscape — and how it applies to manufacturing operations, quality, supply chain, and innovation
- Demonstrated ability to influence and lead cross-functional teams without direct authority in a matrixed, fast-moving organization
- Track record of building trusted relationships with senior executives in a multilingual, multicultural market like APJ
- Exceptional communication skills — written and verbal — with the ability to translate technical and data concepts into compelling business narratives for executive audiences
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits:
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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关于Databricks

Databricks
Series IDatabricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.
6,000+
员工数
San Francisco
总部位置
$43B
企业估值
评价
10条评价
3.8
10条评价
工作生活平衡
2.5
薪酬
4.0
企业文化
4.2
职业发展
3.5
管理层
4.0
72%
推荐率
优点
Innovative technology and cutting-edge projects
Supportive and collaborative team environment
Good compensation and benefits
缺点
Long hours and heavy workload
Poor work-life balance
High pressure and stress
薪资范围
34个数据点
Junior/L3
Mid/L4
Principal/L7
Senior/L5
Staff/L6
VP
Director
Junior/L3 · Product Manager L3
0份报告
$237,075
年薪总额
基本工资
-
股票
-
奖金
-
$201,514
$272,636
面试评价
5条评价
难度
3.0
/ 5
时长
21-35周
体验
正面 0%
中性 80%
负面 20%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
Hiring Manager Interview
6
Onsite/Virtual Interviews
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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