Manager, Forward Deployed EngineeringNew
The opportunity
Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence—and our customers challenge us every day to go further.
What you'll do
Drive regional performance targets—including billable utilisation, team: growth, and hiring—while championing delivery excellence and customer success across the ANZ FDE portfolio
Lead high-stakes enterprise engagements: partner with Account Executives, Engagement Managers, and Field Engineering leaders to position and deliver transformational PS programs spanning data migrations, AI/ML platforms, and advanced analytics
Champion delivery governance and operational rigor: establish best practices for project oversight, risk management, and quality standards that scale with a growing RSA & AI Engineering practice
Act as executive escalation point for critical customer situations,: leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive resolution
Develop and retain exceptional technical talent: mentor Resident Solutions Architects and AI Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth
+ years of people leadership experience managing high-performing technical: delivery teams, solution architects, or professional services organisations—with a proven track record of building excellence-driven cultures
What they're looking for
- + years of hands-on individual contributor experience as a technical: solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners
- Demonstrated success leading large-scale data platform migrations and AI/ML: programs within enterprise environments, across industries such as Finance, Healthcare, Retail, Telco, or Energy
- Strong executive presence and stakeholder management skills, with experience: navigating complex, high-stakes customer environments and influencing at the C-suite level
- Familiarity 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