Databricks

4 months ago

Senior Manager, Forward Deployed Engineering (Full Stack) x 2 New roles

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead and scale a high-performing team of Forward Deployed Engineers and AI Engineers to architect and deliver mission-critical data migrations, AI/ML platforms, and GenAI solutions for enterprise accounts. Drive delivery governance, establish best practices, and partner with executives to ensure successful engagements, growth, and measurable business impact while developing talent and maintaining technical credibility across the lakehouse and AI ecosystem.

Location: France

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Drive regional performance targets including billable utilisation, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio.
•Lead high-stakes enterprise engagements: partner with Account Executives, Engagement Managers, and Field Engineering leaders to position and deliver transformational PS programs spanning data migrations, AI/ML platforms, and advanced analytics.
•Champion delivery governance and operational rigor: establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE & AI Engineering practice.
•Act as executive escalation point for critical customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive resolution.
•Develop and retain exceptional technical talent: mentor Forward Deployed Engineers and AI Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth.

Key Requirements

•People leadership experience managing high-performing technical delivery teams, solution architects, or professional services organisations with a proven track record of building excellence-driven cultures.
•Hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners.
•Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across all industry sectors.
•Strong executive presence and stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level.
•Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued.

Experience:EnterpriseDataAIMLOps

Skills:LeadershipCommunicationStakeholder managementMentoringProblem-solving

Languages:English

Tech Stack:Apache SparkMLflowDelta LakeDatabricksGenAIAIMLOps

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

4 months ago

Senior Manager, Forward Deployed Engineering (Full Stack) x 2 New roles

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: France

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Drive regional performance targets including billable utilisation, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio.
•Lead high-stakes enterprise engagements: partner with Account Executives, Engagement Managers, and Field Engineering leaders to position and deliver transformational PS programs spanning data migrations, AI/ML platforms, and advanced analytics.
•Champion delivery governance and operational rigor: establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE & AI Engineering practice.
•Act as executive escalation point for critical customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive resolution.
•Develop and retain exceptional technical talent: mentor Forward Deployed Engineers and AI Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth.

Key Requirements

•People leadership experience managing high-performing technical delivery teams, solution architects, or professional services organisations with a proven track record of building excellence-driven cultures.
•Hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners.
•Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across all industry sectors.
•Strong executive presence and stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level.
•Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued.

Experience:EnterpriseDataAIMLOps

Skills:LeadershipCommunicationStakeholder managementMentoringProblem-solving

Languages:English

Tech Stack:Apache SparkMLflowDelta LakeDatabricksGenAIAIMLOps

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