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Sr. Manager, AI Forward Deployed Engineering

Lead and grow the AI Forward Deployed Engineering team at Databricks, driving AI transformation for customers.

Location
Bengaluru, India
Compensation
Not disclosed
Level
senior
Type
full time · On-site

Posted by employer 2 days ago

First seen on Joblaze 1 day ago

Last verified on the company career page 11 hours ago

Skills & Technologies

What you'll build

  • Lead and scale a high-performing AI forward deployed engineering team
  • Shape cross-functional collaboration with Product, R&D, and GTM
  • Develop and expand executive relationships with key customers
  • Partner with Field Engineering and Sales leadership
  • Lead strategic AI initiatives and scalable delivery processes

Must have

  • Experience building and managing high-performing teams of AI/ML scientists
  • Ability to scope, sell, and deliver technical engagements
  • Strong technical depth in AI/ML foundations
  • Experience leading teams that have shipped production AI solutions
  • Proven success developing strategy with senior executive stakeholders
  • Experience driving AI transformation across enterprise customers

Nice to have

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

Practical constraints

  • Candidates should expect to travel at least once a month

AI in the day-to-day

We deliver professional services engagements that help customers build and productionize GenAI applications.

Requirements

Education
Master's degree

Not disclosed in this posting: compensation, years of experience, visa sponsorship.

Joblaze summary

The Sr. Manager of AI Forward Deployed Engineering at Databricks leads a specialized team focused on delivering AI solutions to customers, overseeing the development and execution of strategic AI initiatives. This role requires a strong technical background in AI/ML, along with experience in managing high-performing teams and engaging with senior executives to drive AI transformations. Ideal candidates are seasoned leaders with a proven track record in enterprise environments, particularly those familiar with cloud platforms. The position emphasizes cross-functional collaboration and the ability to influence product strategy based on customer insights.

Joblaze insights

  • Listed yesterday — first seen on Joblaze October 2, 2026. Last confirmed on Databricks's careers page October 3, 2026.
  • This exact title is also open at 2 other locations at Databricks: Stockholm, Sweden, Amsterdam, Netherlands.
  • AI/ML appears in 10.2% of 59 comparable senior management roles in India; Data Science appears in 1.7% of 59 comparable senior management roles in India.

Quick facts

Is the Sr. Manager, AI Forward Deployed Engineering role remote?
No — this is an on-site role in Bengaluru, India.
Where is the role based?
Databricks is hiring for this position in Bengaluru, India.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, Data Science.
What seniority level is this role?
Databricks targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Sr. Manager, AI Forward Deployed Engineering role at Databricks.

From the original posting

CSQ427R238

Sr. Manager, AI Forward Deployed Engineering (FDE)

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 India. 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.

You will report directly to our India FDE leader and dotted line to the APJ AI FDE leader. The ideal candidate is based out of Bangalore or Mumbai. Candidates should expect to travel at least once a month.

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

About Databricks

Benefits

Standard company text repeated across Databricks's postings is omitted here.

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