Manager, Forward Deployed Engineering
Lead and scale a team of Forward Deployed Engineers and AI Engineers delivering large-scale data migrations, AI/ML platforms, and enterprise analytics programs for strategic Databricks customers.
About the job
Responsibilities
- Drive regional performance targets including billable utilisation, team growth, and hiring while championing delivery excellence and customer success across the 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 FDE & 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 Forward Deployed Engineers and AI Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth
Requirements
- 4+ 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
- 5+ 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
Skills
Databricks, Spark, MLflow, Delta Lake, Data Platform Migrations, Ai/Ml Programs, Solutions Architecture, Professional Services, Enterprise Data Platforms, MLOps
Similar jobs
Solutions Architecture jobsLeads GenAI strategy, architecture, prototyping, and production deployments for government customers. Requires 7+ years of public-sector technical consulting, experience delivering AI implementations, cloud and network architecture expertise, and programming skills in Python, Go, or TypeScript.
Leads and scales a globally distributed Partner Solutions Architecture organization supporting GSIs and other strategic partners in delivering cloud security services. Requires extensive solutions architecture experience, technical team leadership, executive engagement, and hands-on expertise across major cloud platforms.
Leads pre-sales technical strategy and enterprise adoption of Databricks for Travel and Hospitality customers, guiding data and AI transformations. Requires substantial enterprise account, pre-sales, big data, cloud, data science, and production programming experience.
The Solutions Architect will lead pre-sales architecture, demonstrations, and proofs of concept for Customer Lake, advising marketing and data executives on customer data, CDP, Lakehouse, and agentic AI solutions. The role requires at least five years in customer-facing pre-sales or consulting and hands-on cloud data architecture experience.
Leads complex enterprise data and AI architecture engagements, drives Databricks adoption and consumption, and advises executive stakeholders. Requires 8+ years in solutions architecture or related customer-facing technical leadership, deep data-platform expertise, and advanced Python and SQL proficiency.