Manager, Forward Deployed Engineering

Databricks
New South Wales, Singapore
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Stakeholder management","Executive presence","Delivery excellence","Leadership judgment","Mentoring"]

Lead a team of Forward Deployed Engineers and AI Engineers for NSW, partnering with strategic enterprise accounts to deliver mission-critical solutions. Own regional performance targets, engagement execution, and delivery governance across data migrations, legacy modernization, and next-generation generative AI programs. Serve as escalation point for critical customer situations, mentor Resident Solutions Architects and AI Engineers, and help grow a high-quality, measurable RSA and AI Engineering practice.

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FursaFursa
Databricks
Databricks
2 months ago

Manager, Forward Deployed Engineering

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Lead a team of Forward Deployed Engineers and AI Engineers for NSW, partnering with strategic enterprise accounts to deliver mission-critical solutions. Own regional performance targets, engagement execution, and delivery governance across data migrations, legacy modernization, and next-generation generative AI programs. Serve as escalation point for critical customer situations, mentor Resident Solutions Architects and AI Engineers, and help grow a high-quality, measurable RSA and AI Engineering practice.
Location: New South Wales, Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Manager level

Key Responsibilities

  • •Drive regional performance targets, including billable utilization, team growth, and hiring, while championing delivery excellence and customer success across the ANZ FDE portfolio.
  • •Lead high-stakes enterprise engagements by partnering with account and field engineering leaders to position and deliver transformational professional services programs spanning data migrations and AI/ML platforms.
  • •Establish delivery governance and operational rigor through best practices for project oversight, risk management, and quality standards for the RSA and AI Engineering practice.
  • •Act as an executive escalation point for critical customer situations to protect strategic relationships and drive resolution.
  • •Develop and retain technical talent by mentoring Resident Solutions Architects and AI Engineers via career pathways, technical coaching, and a culture of continuous growth.

Key Requirements

  • •4+ years of people leadership experience managing technical delivery teams, solution architects, or professional services organizations, with a track record of building excellence-driven cultures.
  • •5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer to coach and support senior practitioners.
  • •Proven success leading large-scale data platform migrations and AI/ML programs in enterprise environments across industries such as Finance, Healthcare, Retail, Telco, or Energy.
  • •Strong executive presence and stakeholder management skills, including navigating complex customer environments and influencing at the C-suite level.
  • •Familiarity with Databricks and the modern data and AI ecosystem, including Apache Spark, MLflow, and Delta Lake (hands-on Databricks experience or competitor experience is highly valued).
Experience:Enterprise environmentsData migrationsAI/ML programs
Skills:Stakeholder managementExecutive presenceDelivery excellenceLeadership judgmentMentoring
Languages:English
Tech Stack:DatabricksApache SparkMLflowDelta LakeLakehouseMLOpsGenAIAI agent

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
WebsiteLinkedIn