Manager - ML Practice, India

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