Manager, AI Forward Deployed Engineering (FDE)
Lead and scale Databricks' AI Forward Deployed Engineering team, driving customer AI transformations, managing key accounts, and influencing product and GTM strategy. Requires deep ML/GenAI expertise and proven leadership in scaling high-performing engineering teams.
Responsibilities
- Lead and scale a world-class AI professional services team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale
- Develop and expand executive relationships with key customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations
- Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions
- Lead strategic AI initiatives, practice development, and standardized delivery processes; design scalable engagement models and reusable solutions for repeatability across the global team
- Shape cross-functional collaboration by influencing Product, R&D, and GTM, ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy
- Own OKRs for AI-services led accounts, revenue, utilization, and public references
- Represent Databricks as a thought leader in AI
Requirements
- Extensive experience managing, hiring, and building a team of high-performing data scientists/ML engineers and leaders, with a track record of scaling organizations through developing scalable processes and cultivating leaders
- Ability to scope, guide, and sell technical engagements, manage escalations, and ensure successful delivery in enterprise environments
- Deep technical expertise in ML, GenAI, and data science, and curiosity to continue to stay up-to-date in this ever-changing field
- Experience leading teams building cutting-edge production AI solutions in cloud environments (AWS, Azure, or GCP)
- Proven success developing strategy with senior executive stakeholders to define program-level goals, align technical vision, and build trust throughout complex enterprise engagements
- Demonstrated experience in cross-functional leadership roles, collaborating with Sales, Product, and GTM teams to drive business impact through AI
- “Company-first” mindset
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
Nice-to-Haves
- Experience in a customer-facing consulting or professional services leadership role
- Experience working with Databricks
Compensation & Benefits
- Total compensation package may include eligibility for annual performance bonus, equity, and benefits
- Local Pay Range: $262,100—$360,350 USD
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