Manager - Machine Learning Practice - Remote

Overview

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.

In Short

• 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.

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.
• [Preferred] Experience working with Databricks and Apache Spark.
• [Preferred] Experience working in a customer-facing role.

Benefits

• Comprehensive benefits and perks that meet the needs of all employees.