Senior Manager, AI Forward Deployed Engineering

Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.

Series F+0 current maintainers0 active leads
160 Spear Street, Suite 1300, San Francisco, CA 94105, United States
About Databricks

Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will lead and scale the UK AI Forward Deployed Engineering team, hiring and mentoring data scientists and ML engineers. You will build executive relationships with EMEA customers and partners, act as a trusted advisor on complex AI engagements, and work with Field Engineering and Sales leaders on strategic accounts. You will also shape delivery processes, influence Product and R&D with customer insights, and own OKRs for revenue and utilisation.

Requirements

  • Extensive experience managing, hiring and building teams of data scientists/ML engineers and leaders
  • Ability to scope, guide and sell technical engagements and manage escalations
  • Deep technical expertise in ML, GenAI and data science
  • Experience leading teams building production ML solutions in cloud environments (AWS, Azure or GCP)
  • Proven success developing strategy with senior executive stakeholders
  • Cross-functional leadership experience with Sales, Product and GTM
  • Graduate degree in a quantitative discipline or equivalent practical experience
  • Preferred: customer-facing consulting or professional services leadership experience
  • Preferred: experience working with Databricks

Responsibilities

  • Lead and scale an AI/ML professional services team, including hiring and mentoring
  • Develop executive relationships with EMEA customers and partners
  • Align with Field Engineering and Sales leaders on strategic account strategies
  • Lead strategic AI PS initiatives, practice development and standardised delivery processes
  • Influence Product, R&D and GTM with voice-of-customer insights
  • Own OKRs for AI-services led accounts, revenue, utilisation and public references
  • Represent Databricks as a thought leader in AI/ML