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

Databricks · Maryland; Virginia; Washington, D.C. · Professional Services Operations · listed June 12, 2026

The shape of it

Seniority
Manager
Where
Not stated
Stated pay
$232,900 – $320,200 USD
Requirements listed
9
Length
855 words

In the posting’s own words

We are looking for a world-class leader to lead and grow our AI FDE Public Sector team. In this role, you will lead public sector customers on their AI transformation with Databricks, push the boundaries of our product, recruit and develop top AI engineers, and manage a portfolio of key accounts. You will report directly to the Head of Public Sector, FDE.

What it asks for · 9

  • 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

Also a plus

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

What the job covers

  • 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

Degree language

  • Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience

Tools and skills named

Data
  • Databricks4×
  • Statistics
Cloud & infra
  • AWS
  • Azure
  • GCP
Go to market
  • Go-to-market3×
Ways of working
  • Cross-functional2×
  • Mentorship
Models & research
  • Machine learning2×
Product & design
  • Roadmap
Security & compliance
  • Security

Words the posting leans on

  • experience6×
  • engagements5×
  • leaders5×
  • product5×
  • public sector5×
  • delivery4×
  • engineering4×
  • fde4×
  • lead4×
  • technical4×
  • accounts3×
  • building3×
  • customers3×
  • data3×
  • gtm3×
  • strategic3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Databricks on August 18, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.