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VP, Alliance

Databricks

VP, Alliance

Databricks

Singapore

·

On-site

·

Full-time

·

2w ago

Required Skills

Leadership

Sales

Alliances

Partner ecosystem development

Data and AI

Executive engagement

Team building

SLSQ426R507

While candidates in the listed location are encouraged for this role, candidates in other locations will be considered.

We are seeking a proven, visionary leader to serve as our APJ SI and Ecosystem Leader, responsible for building, scaling, and optimising our partner ecosystem across the Asia Pacific & Japan region. This leader will drive consumption growth, build a durable and differentiated partner community, and inspire a world-class team to deliver measurable business outcomes in the data and AI space.

This role requires a deep understanding of SIs, ISVs and hyper-scaler ecosystems (AWS, Azure, GCP). A history with data and AI–driven business transformation and the ability to engage confidently with C-level executives at both partner and customer organisations.

This is the opportunity to work in one of the fastest growing companies in Data & AI history, allowing you to shape the future of Data & AI adoption across one of the most dynamic ecosystems across the globe. A chance to lead a world-class alliances and channels team, driving innovation and measurable growth. This is your chance to be a part of history.

  • The impact you will have: Partner Ecosystem Strategy & Growth

  • Define and execute the APJ SI and ecosystem strategy, aligned to global objectives and regional priorities.

  • Build and scale a durable, high-value partner ecosystem spanning global system integrators (GSIs), regional partners, and other key partners across the region.

  • Drive partner-led consumption of our platforms and solutions, ensuring measurable contribution to revenue, new logos and customer success.

  • SI & Ecosystem Development

  • Lead joint business planning and co-selling initiatives with key partners, ensuring alignment with their key accounts and GTM solutions.

  • Create multi-year growth plans with top strategic partners, ensuring durable revenue streams.

  • Drive certifications and badges with our enablement and solution architects, ensuring deep technical alignment.

  • Executive & C-Level Engagement

  • Represent the partner organization at the highest levels across the partner and customer ecosystem.

  • Build trusted relationships with CXOs, board members, and industry thought leaders to drive strategic initiatives, joint investments, and executive sponsorship.

  • Leadership & Team Development

  • Inspire, mentor, and scale a high-performing alliances and channels team across APJ.

  • Build a world-class culture of collaboration, innovation, and accountability.

  • Attract and retain top talent, creating clear pathways for professional development and growth.

  • Drive integration of Partners into GTM motions as part of the APJ GTM Leadership team.

  • Operational Excellence

  • Own pipeline development, partner-sourced revenue, and consumption growth metrics.

  • Drive operational rigor across partner programs, governance, and reporting.

  • Champion cross-functional alignment with sales, marketing, product, and customer success to ensure ecosystem-driven success.

What we look for:

  • 20+ years of leadership experience in technology sales, alliances, and partner ecosystem development, with a proven track record of impact across Asia Pacific & Japan.

  • Bachelor’s degree required; Master’s preferred.

  • Extensive experience in Data and AI technologies and their application to real-world business transformation.

  • Demonstrated success working with hyperscalers (AWS, Azure, GCP) on joint go-to-market strategies, co-selling, and co-investment.

  • Proven ability to influence C-level executives, boards, and global partner organizations.

  • Strong understanding of the APJ market landscape, regional partner dynamics, and cultural nuances.

  • Experience building and leading large, geographically distributed teams.

  • Exceptional communication, negotiation, and executive presence skills.

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, please visit https://www.mybenefitsnow.com/databricks.

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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About Databricks

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+

Employees

San Francisco

Headquarters

$43B

Valuation

Reviews

4.2

9 reviews

Work Life Balance

3.5

Compensation

4.7

Culture

4.3

Career

4.5

Management

4.0

86%

Recommend to a Friend

Pros

Working on industry-leading data and AI platform

Excellent compensation with high equity upside

Strong engineering culture with Apache Spark creators

Cons

High intensity work environment with demanding deadlines

Work-life balance can suffer during key releases

Growing pains as company scales rapidly

Salary Ranges

25 data points

Mid/L4

Senior/L5

Mid/L4 · Corporate Development Manager

1 reports

$171,004

total / year

Base

$148,699

Stock

-

Bonus

-

$171,004

$171,004

Interview Experience

9 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Offer Rate

22%

Experience

Positive 22%

Neutral 67%

Negative 11%

Interview Process

1

Application Review

2

Recruiter/Phone Screen

3

Technical Interview/Coding Round

4

System Design Interview

5

Behavioral Interview

6

Final Round/Hiring Manager Interview

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge