Databricks

1 month ago

Sr. Manager, AI Forward Deployed Engineering (AI-FDE) – EMEA

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Lead and scale the EMEA AI Forward Deployed Engineering (FDE) professional services team, driving AI/ML transformations for enterprise accounts, building scalable delivery models, and shaping product strategy through executive-level engagement across Databricks’ AI/ML initiatives.

Location: Amsterdam

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead and scale a world-class AI/ML 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 EMEA 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 PS 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

Travel: Medium travel

Key Requirements

•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 curiosity to stay up-to-date in this field
•Experience leading teams building production ML 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

Experience:AI/MLGenAICloud computing

Education:Master's

Skills:LeadershipTeam managementStrategic thinkingStakeholder managementCommunication

Languages:English

Tech Stack:GenAIMLData scienceAWSAzureGCPCloud

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

Loading job details...

Preparing the role view and application actions.

Databricks

1 month ago

Sr. Manager, AI Forward Deployed Engineering (AI-FDE) – EMEA

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Amsterdam

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead and scale a world-class AI/ML 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 EMEA 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 PS 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

Travel: Medium travel

Key Requirements

•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 curiosity to stay up-to-date in this field
•Experience leading teams building production ML 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

Experience:AI/MLGenAICloud computing

Education:Master's

Skills:LeadershipTeam managementStrategic thinkingStakeholder managementCommunication

Languages:English

Tech Stack:GenAIMLData scienceAWSAzureGCPCloud

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