Databricks

4 weeks ago

Manager, Forward Deployed Engineering - CMEG

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead and scale a high-performing team of Forward Deployed Engineers and AI Engineers, partnering with enterprise accounts to architect and deliver mission-critical data migrations, AI/ML platforms, and GenAI deployments. Drive delivery excellence, governance, and customer impact while mentoring talent and shaping strategic engagements across Finance, Healthcare, Retail, Telco, and Energy sectors.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Lead and scale a high-performing team of Forward Deployed Engineers and AI Engineers, setting a standard of technical excellence and customer impact.
•Partner with enterprise accounts and cross-functional teams to architect and deliver mission-critical solutions, including data migrations, AI/ML platforms, and analytics initiatives.
•Establish delivery governance, risk management, and quality standards that scale with the practice and ensure measurable outcomes.
•Serve as an executive escalation point for critical customer situations, leveraging technical credibility and leadership judgment to protect strategic relationships.
•Mentor engineers through structured career pathways, technical coaching, and a culture of innovation and continuous growth.

Pay and Benefits

Salary: USD 211,800 - 291,300 annually

Key Requirements

•4+ years of 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.
•5+ years of 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 industries such as Finance, Healthcare, Retail, Telco, or Energy.
•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:4+ yearsDataAiCloudMigrationsEnterprise

Skills:LeadershipStakeholder managementMentorshipCommunicationProblem-solving

Languages:English

Tech Stack:DatabricksApache SparkMLflowDelta Lake

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

4 weeks ago

Manager, Forward Deployed Engineering - CMEG

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Lead and scale a high-performing team of Forward Deployed Engineers and AI Engineers, setting a standard of technical excellence and customer impact.
•Partner with enterprise accounts and cross-functional teams to architect and deliver mission-critical solutions, including data migrations, AI/ML platforms, and analytics initiatives.
•Establish delivery governance, risk management, and quality standards that scale with the practice and ensure measurable outcomes.
•Serve as an executive escalation point for critical customer situations, leveraging technical credibility and leadership judgment to protect strategic relationships.
•Mentor engineers through structured career pathways, technical coaching, and a culture of innovation and continuous growth.

Pay and Benefits

Salary: USD 211,800 - 291,300 annually

Key Requirements

•4+ years of 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.
•5+ years of 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 industries such as Finance, Healthcare, Retail, Telco, or Energy.
•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:4+ yearsDataAiCloudMigrationsEnterprise

Skills:LeadershipStakeholder managementMentorshipCommunicationProblem-solving

Languages:English

Tech Stack:DatabricksApache SparkMLflowDelta Lake

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