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CSQ326R37
Mission
The Machine Learning (ML) Practice team is a highly specialized, collaborative customer-facing ML team at Databricks. We deliver professional services engagements to help our customers build, scale, and productionize the most cutting-edge ML and GenAI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams.
We are investing heavily in continuing to grow our global team, and looking for a world-class Manager to lead our ML Practice in India. You will report directly to our Global Delivery Center (GDC) Leader and dotted line to our ML Professional Services Global Leader. This role can be remote, with a preference for candidates located in Bangalore. This will be the first ever leadership hire for this team in India !
The impact you will have:
- Manage hiring, onboarding, and growing the ML Practice team in India, roughly doubling the team size by the end of the year.
- Develop relationships with key customers and partners, scope customer engagements, and manage escalations
- Align with Professional Services and Sales leaders both in the Global Delivery Center and globally
- Collaborate cross-functionally with the R&D team to define priorities and influence the product roadmap
- Lead strategic PS initiatives, practice development, and processes
- Own OKRs for revenue and utilization, with a focus on driving Databricks consumption
- Lead Databricks cultural values by example and champion Databricks brand
What we look for:
- 3+ years experience managing, hiring, and building a team of motivated data scientists/ML engineers, including establishing programs and processes
- Deep hands-on technical understanding of data science, ML, GenAI and the latest trends
- While managers do not deliver customer engagements directly, we expect that individuals are able to get hands-on in the Databricks product to demo to customers, dogfood product features to provide input to R&D, etc.
- Experience building production-grade machine learning deployments on AWS, Azure, or GCP
- Passion for collaboration, life-long learning, and driving business value through ML
- Company first focus and collaborative individuals - we work better when we work together
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
- [Preferred] Experience working with Databricks and Apache Spark
- [Preferred] Experience working in a customer-facing role
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.
