Sr. Manager, Field Engineering

The Impact You Will Have

• Hire, train, and develop a high-performing tier of both individual contributors (IC) and frontline managers/leads within the Specialist Solutions Architecture organization.
• Maintain a robust, diverse hiring pipeline attuned to deep technical expertise, clinical data structures, and life sciences domain proficiency.
• Exceed regional sales and consumption targets by ensuring your management and SA teams rigorously qualify accounts, identify high-value genomic, clinical, or operational use cases, execute secure proof-of-concepts, and serve as trusted advisors across the customer lifecycle.
• Drive deep adoption of the Databricks Data Intelligence Platform, ensuring compliance frameworks (HIPAA, HITRUST, GxP) are properly mapped to outsized business and regulatory value.
• Establish strong matrixed relationships across Product Management, Engineering, Industry Solutions, and Sales to remove blockers and accelerate go-to-market velocity.

What We Look For

• 5+ years of leadership experience directly managing technical pre-sales teams, with a proven track record of leading both high-level individual contributors (L6+) and frontline technical managers/pod leads.
• 5+ years of deep experience in the data and AI space with highly technical platforms (e.g., distributed computing, cloud data warehousing, MLOps, or generative AI infrastructure).
• Comprehensive understanding of the Healthcare and Life Sciences vertical, including hands-on familiarity with industry data models (OMOP, FHIR), regulatory constraints (HIPAA, GxP), and standard enterprise data integration/transformation patterns.
• Proven capability as a trusted strategic advisor to HLS technical executives (CTOs, CIOs, Chief Data Officers) guiding large-scale cloud infrastructure and AI roadmap decisions.
• Elite command of technical qualification methodologies, architecture design validation, structured proof-of-concept (POC) management, and value-selling frameworks.
• Demonstrated history of organizational scaling—successfully hiring complex profiles, accelerating onboarding cycles, coaching leaders, and managing progression pathways.
• Strong operational rigor around pipeline tracking, resource allocation, and building cross-functional alignment between Field Engineering, Sales, and Customer Success.