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Databricks
Databricks

The Data and AI Company.

Sr. Manager, AI FDE

직무머신러닝
경력시니어급
위치Remote - India
근무원격
고용정규직
게시2주 전
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CSQ327R28

Sr. Manager, AI FDE

Mission

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

We are looking for a world-class leader to lead and grow our AI FDE team in our Global Delivery Center (GDC). In this role, you will lead customers on their AI/ML transformation with Databricks, push the boundaries of our product, recruit and develop top AI engineers, and manage a portfolio of key accounts. You will report directly to our Global Delivery Center (GDC) Leader and dotted line to our AI FDE Global Leader. This role can be remote, with a preference for candidates located in Bangalore. Candidates should expect to travel once a month.

The impact you will have:

  • Lead and scale a world-class AI/ML professional services team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale
  • 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
  • Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions
  • Lead strategic AI PS initiatives, practice development, and standardized delivery processes; design scalable engagement models and reusable solutions for repeatability across the global team
  • 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
  • Own OKRs for AI-services led accounts, revenue, utilization, and public references
  • Represent Databricks as a thought leader in AI/ML

What we look for:

  • Extensive experience managing, hiring, and building a team of high-performing data scientists/ML engineers and leaders, with a track record of scaling organizations through developing scalable processes and cultivating leaders
  • Ability to scope, guide, and sell technical engagements, manage escalations, and ensure successful delivery in enterprise environments
  • Deep technical expertise in ML, GenAI, and data science, and curiosity to continue to stay up-to-date in this ever-changing field
  • Experience leading teams building cutting-edge production ML 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
  • Develop and drive a strategic vision for AI transformations across our customers, including product management for applied AI projects, organizational change management for the adoption of AI, and mapping and aligning with key stakeholders
  • Demonstrated experience in cross-functional leadership roles, collaborating with Sales, Product, and GTM teams to drive business impact through AI/ML
  • “Company-first” mindset
  • Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience

Preferred:

  • Experience in a customer-facing consulting or professional services leadership role
  • Experience working with Databricks

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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.

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Databricks 소개

Databricks

Databricks

Series I

Databricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.

6,000+

직원 수

San Francisco

본사 위치

$43B

기업 가치

리뷰

10개 리뷰

3.8

10개 리뷰

워라밸

2.5

보상

4.0

문화

4.2

커리어

3.5

경영진

4.0

72%

지인 추천률

장점

Innovative technology and cutting-edge projects

Supportive and collaborative team environment

Good compensation and benefits

단점

Long hours and heavy workload

Poor work-life balance

High pressure and stress

연봉 정보

34개 데이터

Junior/L3

Mid/L4

Staff/L6

Junior/L3 · Data Scientist L3

0개 리포트

$244,818

총 연봉

기본급

-

주식

-

보너스

-

$208,096

$281,540

면접 후기

후기 5개

난이도

3.0

/ 5

소요 기간

21-35주

경험

긍정 0%

보통 80%

부정 20%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Round

5

Hiring Manager Interview

6

Onsite/Virtual Interviews

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience