Databricks: Sr. Manager, AI Forward Deployed Engineering — Bengaluru, India

About Databricks

Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.

The position and its setting

Databricks lists Sr. Manager, AI Forward Deployed Engineering in Bengaluru, India, under reference 8630019002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Professional Services Operations
• Employer listing date: 1 October 2026

Responsibilities and work described

• Leadership: 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
• Development: 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
• Leadership: 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

Essential requirements and candidate background

• Experience building and managing high-performing teams of AI/ML scientists, engineers, and leaders
• 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)
• 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

Experience and professional background

• Experience: a customer-facing leadership role

Preferred experience and additional strengths

• Experience working with Databricks

Location, schedule and contract conditions

• Advertised location: Bengaluru, India

Benefits mentioned by the employer

• At 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

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Sr. Manager, AI Forward Deployed Engineering vacancy is not an offer for reference 8630019002; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Databricks

Applications follow the official employer page linked below.

Open the official Databricks posting below and match the title and reference 8630019002.

Compare your qualifications and experience with the essential conditions for the Bengaluru, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: AWS

For AWS experience, describe the workload and the services you actually configured or operated. Useful detail includes deployment, access controls, monitoring, recovery or cost decisions where those were your responsibility.

Relevant skills

• AWS
• GCP
• Azure
• AI/ML
• Google Cloud
• Excel
• machine learning
• AI
• compliance
• sales