Databricks

1 month ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead and grow the AI Forward Deployed Engineering (FDE) Public Sector team, guiding AI transformations for government customers, recruiting and developing top AI engineers, managing key accounts, and shaping cross-functional delivery with Product, R&D, and GTM to inform the product roadmap.

Location: Maryland, Virginia, Washington

Workplace: Onsite

Employment Type: Full time

Job Function: Government & Public Administration

Key Responsibilities

•Lead and scale a world-class AI FDE Public Sector 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.

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

Education:Master's

Skills:LeadershipStrategic thinkingCommunicationCollaborationProblem-solving

Languages:English

Tech Stack:MLGenAIData ScienceAWSAzureGCP

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

1 month ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Maryland, Virginia, Washington

Workplace: Onsite

Employment Type: Full time

Job Function: Government & Public Administration

Key Responsibilities

•Lead and scale a world-class AI FDE Public Sector 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.

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

Education:Master's

Skills:LeadershipStrategic thinkingCommunicationCollaborationProblem-solving

Languages:English

Tech Stack:MLGenAIData ScienceAWSAzureGCP

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn