Role at a glance
- Job function
-
AI & Data AI Solutions Architecture
- Salary
- Not Disclosed
- Location
- Bengaluru, India
- Education
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent...
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Role Summary
The Sr. Manager leads and grows Databricks' AI Forward Deployed Engineering team in India and guides customers through AI transformations, including building and productionizing GenAI applications. The role works with customers and cross-functional partners to shape strategic account delivery and inform product and go-to-market priorities.
What You'll Do
- Lead and scale the AI forward deployed engineering team, including hiring, mentoring, and building a team structure for growth and...
- Influence Product, R&D, and GTM collaboration so customer insights and delivery learnings inform product roadmap and GTM strategy.
- Develop executive relationships with key customers and partners, serving as a trusted advisor during technical engagements and AI...
- Partner with Field Engineering and Sales leadership on strategic-account strategy and coordinate delivery across functions.
- Lead strategic AI initiatives, practice development, and scalable delivery processes; own OKRs for AI-services-led accounts, revenue,...
- Represent Databricks as an AI thought leader through conference talks and published content.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
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 or equivalent practical experience.
Required
- 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...
- Strong, current technical depth in AI/ML foundations, with the ability to contribute meaningfully in architecture reviews and the...
- 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...
- Experience driving AI transformation across enterprise customers, spanning applied AI product management, organizational change...
- 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...
Preferred
- Experience in a customer-facing leadership role
- Experience working with Databricks
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
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.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.