Manager, Forward Deployed Engineering

Навыки

Обязанности

• 01Lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of data and AI transformation
• 02Partner with Databricks' most strategic enterprise customers to shape their migration to the lakehouse and build next-generation AI and GenAI systems
• 03Architect and deliver mission-critical solutions, including large-scale data migrations, legacy modernization, generative AI, MLOps, and AI agent deployments
• 04Set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework for precise execution
• 05Oversee regional performance targets, including billable utilization, team growth, and hiring
• 06Champion delivery excellence and customer success across the FDE portfolio
• 07Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services programs
• 08Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice
• 09Synthesize field insights to provide feedback to Engineering and Product management, guiding the Databricks roadmap
• 10Drive the creation of reusable customer accelerators and frameworks
• 11Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment
• 12Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation and continuous growth

Требования

• 014+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations
• 025+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer
• 03Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments
• 04Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics
• 05Strong stakeholder management skills with experience navigating complex, high-stakes customer environments and influencing at the C-suite level
• 06Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued

Условия

• 01Travel to customer sites and Databricks offices approximately 20% of the time
• 02Comprehensive benefits and perks tailored to employee needs (details vary by region)
• 03Commitment to diversity and inclusion in hiring practices
• 04Headquarters in San Francisco with global offices