Databricks

Sr. Manager, AI Forward Deployed Engineering (FDE)

Databricks$232K — $320K *
US-AnywhereRemote in California, US
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years in AI/ML team management
  • Proven ability in scoping and delivering complex enterprise technical engagements
  • Strong technical foundation in AI/ML with cloud deployment experience
  • Experience influencing executive stakeholders
  • Expertise in driving AI transformations within enterprises
  • Graduate degree in quantitative discipline or equivalent experience

Responsibilities

  • Lead and build a high-performing AI FDE team
  • Facilitate collaboration between Product, R&D, and GTM teams
  • Cultivate relationships with executive-level customers as a trusted advisor
  • Coordinate strategic account delivery with Field Engineering and Sales
  • Drive strategic AI initiatives and scalable processes
  • Manage OKRs related to AI-services accounts
  • Represent Databricks as a thought leader in the AI space

Benefits

  • Comprehensive benefits and perks
  • Opportunities for professional development
  • Flexible working arrangements
  • Travel opportunities for customer engagements
  • Access to industry conferences and networking events
Full Job Description
Sr. Manager, AI Forward Deployed Engineering (FDE)

FEQ227R363
Mission

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements that help customers build and productionize first-of-its-kind GenAI applications, and we work cross-functionally with AI Product, Research, and Engineering to shape long-term strategic priorities.

We are looking for a world-class leader to lead and grow our AI FDE team. In this role, you will lead customers on their AI transformation with Databricks, push the boundaries of our product, recruit and develop top data scientists/machine learning engineers, and manage a portfolio of key accounts. Candidates should expect to travel at least once a month.

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
The impact you will have:
  • Lead and scale a high-performing AI forward deployed engineering team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale
  • Shape cross-functional collaboration by influencing Product, R&D, and GTM, ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy
  • Develop and expand executive relationships with key customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations
  • Partner with Field Engineering and Sales leadership to set strategy for strategic accounts and coordinate delivery across functions
  • Lead strategic AI initiatives, practice development, and scalable delivery processes
  • Own OKRs for AI-services led accounts, revenue, utilization, and public references
  • Represent Databricks as a thought leader in AI through conference talks, published content, etc.
What we look for:
  • Experience building and managing high-performing teams of AI/ML scientists, engineers, and leaders
  • Ability to scope, sell, and deliver technical engagements in enterprise environments, including managing escalations and ensuring successful customer outcomes
  • Strong, current technical depth in AI/ML foundations, with the ability to contribute meaningfully in architecture reviews and the curiosity to stay current as the field evolves
  • Experience leading teams that have shipped production AI solutions in cloud environments (AWS, Azure, or GCP)
  • Proven success developing strategy with senior executive stakeholders to define program-level goals, align technical vision, and build trust throughout complex enterprise engagements
  • Experience driving AI transformation across enterprise customers, spanning applied AI product management, organizational change management, and stakeholder alignment
  • Experience working across Sales, Product, and GTM to connect AI delivery to business outcomes
  • Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience

Preferred:
  • Experience in a customer-facing leadership role
  • Experience working with Databricks


Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$232,900-$320,200 USD


BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

About Databricks

Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.
Learn more about Databricks
Size
2,000 employees
Industry
Founded
2013

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