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Manager, Forward Deployed Engineering - CMEG

Databricks Mosaic · Remote - Washington D.C.

CHECKED 15H AGO

Infrastructureremotemanager$212k–$291k
Apply on the lab’s site ↗

At a glance

Highlights

  • Lead FDE team guiding strategic CMEG customers through lakehouse migrations.
  • Deliver mission-critical GenAI, MLOps, and AI agent deployments at scale.
  • Shape Databricks roadmap from field insights and reusable accelerators.

What they offer

  • Annual performance bonus
  • Equity
  • Comprehensive benefits and perks

Ideal candidate

A proven leader of technical delivery teams who thrives in high-stakes enterprise settings and cares deeply about coaching talent, delivery excellence, and turning data and AI into measurable customer impact.

Requirements

  • 4+ years leading high-performing technical delivery or professional services teams
  • 5+ years as solutions architect or data/AI engineer
  • Track record leading large-scale data migrations and AI/ML programs in enterprise
  • Strong grasp of SOW-based delivery, scope, timelines and services metrics
  • Skilled at stakeholder management in high-stakes, C-suite environments
  • Familiar with Databricks, Spark, MLflow, Delta Lake or modern data/AI ecosystem
  • Able to travel to customers and offices ~20% of time

Lab profile

About Databricks Mosaic

Builds unified data analytics and AI platform to productionize AI applications.

What they build

  • Databricks platform
  • Unified Data Analytics and AI
  • AI platform

Known for

  • Forward-deployed AI engineering
  • Productionizing first-of-kind AI applications
  • Customer platform adoption and scale
  • Cross-functional engineering and product collaboration
More about Databricks Mosaic →
Apply on the lab’s site ↗