Manager, Forward Deployed Engineering
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
About the Role
You will lead a team of Forward Deployed Engineers and AI Engineers delivering large-scale data migrations, legacy modernisation, GenAI, MLOps and AI agent programs for major enterprise customers. You will drive regional performance targets, partner with Account Executives and Field Engineering leaders, act as an executive escalation point, and mentor your team.
Requirements
- 4+ years of people leadership experience managing technical delivery teams or professional services organisations
- 5+ years of hands-on experience as a technical solutions architect or data/AI engineer
- Success leading large-scale data platform migrations and AI/ML programs in enterprise environments
- Strong executive presence and stakeholder management skills
- Familiarity with Databricks, Apache Spark, MLflow, Delta Lake or the modern data and AI ecosystem
Responsibilities
- Drive regional performance targets including billable utilisation, team growth and hiring
- Lead high-stakes enterprise engagements with Account Executives, Engagement Managers and Field Engineering leaders
- Establish delivery governance, risk management and quality standards
- Act as executive escalation point for critical customer situations
- Mentor Resident Solutions Architects and AI Engineers through career pathways and technical coaching