Manager, ML Practice

Summary

Join Databricks' Machine Learning (ML) Practice team in India as a Manager! Lead and grow a team of data scientists and ML engineers, roughly doubling its size within a year. Develop strong customer and partner relationships, manage engagements, and handle escalations. Collaborate with various teams, including R&D, to shape strategic initiatives and influence product development. You will own key results for revenue and utilization, while fostering Databricks' culture and brand. This remote role, preferably based in Bangalore, offers a unique opportunity to significantly impact the growth and success of Databricks' ML Practice in India.

Requirements

• 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
• 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

Responsibilities

• Manage hiring, onboarding, and growing the ML Practice team in India
• 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

Preferred Qualifications

• Experience working with Databricks and Apache Spark
• Experience working in a customer-facing role