Head of AI Forward Deployed Engineering; FDE), Public Sector

Mission

The Public Sector AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer‑facing AI team  deliver professional services engagements to help our customers build and product ionize first‑of‑its‑kind AI applications with a focus on GenAI. We work cross‑functionally to shape long‑term strategic priorities and initiatives alongside AI Product, Research, and Engineering.

• Lead and scale a world‑class AI FDE 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

• Passion for transforming the public sector with data and AI
• 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

• Experience in a customer‑facing consulting or professional services leadership role
• Experience working with Databricks

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non‑commissionable roles or on‑target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job‑related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

$232,900 — $320,200 USD

Benefits include comprehensive benefits and perks that meet the needs of all employees. For specific details on the benefits offered in your region visit our benefits page.

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.