.png)
SLSQ126R223
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
We are seeking an experienced leader as our Manufacturing Industry Ecosystem Solutions Leader. This role will drive go-to-market accelerators for AI & priority Databricks products in close partnerships with cloud, ISV and SI partners globally. The ideal candidate will bring deep experience in partner solution development, manufacturing industry and exceptional technology GTM skills. This role is a critical contributor to the success of the industry go-to-market (GTM) strategy at Databricks, expanding Databricks market presence, scaling our GTM motion with partners and enabling customers to accelerate ROI with proven Data+AI solutions that align with their strategic imperatives.
This role will report to the Global Leader for Manufacturing & Energy Industry GTM
The impact you will have:
- Define and execute the strategy and roadmap for manufacturing industry-specific solutions, balancing customer needs, market demand, competitive landscape and ecosystem partner capabilities.
- Identify high-impact industry use cases and create comprehensive solutions that integrate ISVs, Data Providers, SIs, Databricks and Cloud Partner capabilities.
- Collaborate with marketing, sales, and partner teams to develop comprehensive GTM strategies and launch plans for each industry solution.
- Serve as the primary point of contact with partners for industry solutions, driving co-innovation, ensuring aligned goals, product synergies and GTM execution.
- Create and provide sales and partner enablement materials, including training programs, sales playbooks, solution guides, and positioning documents.
- Define clear metrics for success and work with stakeholders to track adoption, customer satisfaction, and business impact of industry solutions.
- Establish and nurture relationships with ISVs, SIs, and Cloud partners to drive co-innovation and ensure aligned goals, product synergies, and executional cohesion.
What we look for:
- The ideal candidate will be a strategic thinker with a passion for innovation and a deep understanding of the manufacturing industry's challenges and opportunities.
- Bachelor's degree in Engineering, Computer Science, or related field; MBA or advanced degree preferred.
- 15+ years of experience in solution development, product management, or related roles within the manufacturing industry.
- Strong understanding of manufacturing industry processes, Industry 4.0 concepts, and emerging technologies such as IoT, AI, and data analytics.
- Proven track record of successful ecosystem collaboration and partner relationship management.
- Excellent communication and presentation skills, with the ability to engage effectively with both technical and business stakeholders.
- Demonstrated ability to lead cross-functional teams and drive complex projects to completion.
- Strong analytical and problem-solving skills, with a data-driven approach to decision-making.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range
$281,900—$432,200 USD
Zone 2 Pay Range
$281,900—$432,200 USD
Zone 3 Pay Range
$281,900—$432,200 USD
Zone 4 Pay Range
$281,900—$432,200 USD
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, please visit https://www.mybenefitsnow.com/databricks.
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.
Top Skills
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
