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职位Databricks

Partner Enablement Scaled Programs Lead

Databricks

Partner Enablement Scaled Programs Lead

Databricks

Bengaluru, India

·

On-site

·

Full-time

·

2mo ago

福利待遇

Healthcare

401(k)

Equity

必备技能

Program management

Training development

Strategic Planning

Stakeholder Management

Data AI knowledge

FEQ326R123
Databricks is a partner-first company. Our exponential growth is fueled by the success of our partner ecosystem.

As the Scaled Partner Enablement Lead, you will be part of a visionary team that is architecting our partner enablement strategy. You will design, build, and execute high-impact learning programs spanning technical certifications, sales readiness, specialization, and onboarding programs to ensure our partners sell and deliver Databricks solutions with total confidence.

This role demands a master of strategic planning and operational excellence. You will manage complex global initiatives, collaborate with cross-functional stakeholders, and translate business needs into world-class learning experiences. You’re joining a high-performance team that recently tripled our trained partner base in just 12 months, using innovative learning models to transform the Databricks ecosystem at scale.

Key Responsibilities

  • Strategic Alignment: Partner with the leadership, partner-facing teams, and partners themselves to identify critical needs and translate business requirements into high-impact enablement programs.

  • Performance Accountability: Drive and own the results for your partner portfolio, maintaining full accountability for key metrics, including training completion and certification targets.

  • Build Learning Programs: Collaborate with internal Subject Matter Experts (SMEs) to define best-in-class enablement programs and establish rigorous success measures.

  • Roadmap Management: Lead the roadmap for training initiatives, including large-scale learning events, global workshop schedules, and the Go-to-Market strategy for partner enablement programs.

  • Operational Excellence: Oversee the end-to-end program lifecycle from initial intake and resourcing to scheduling, logistics, and task management, ensuring seamless execution.

  • Data-Driven Insights: Monitor and analyze KPIs such as Certification rates, ROI, and program impact.

  • Quality Assurance: Evaluate, audit, and coach cross-functional training resources to ensure the delivery of "best-in-class" learning experiences.

Minimum Qualifications:

  • Education: Bachelor’s degree in a technical discipline or equivalent practical experience.

  • Experience: 6+ years of experience developing and running large-scale training and certification programs within a global tech ecosystem.

  • Ecosystem Knowledge: Strong understanding of the System Integrator business model and how technical partners successfully go to market.

  • Technical knowledge: Deep understanding of Data AI technologies, including topics as Data Warehouse, Data Transformation, Machine Learning, and Generative AI, ideally having been certified in at least one of these technologies.

  • Program Management: Proven track record of managing technical competency models and learning journeys for geographically dispersed teams.

  • Communication: Exceptional verbal and written communication skills with the ability to influence cross-functional stakeholders.

Other desired Qualifications:

  • Experience specifically within the Data + AI or Cloud Infrastructure space.

  • Familiarity with scaling programs within the Cloud hypercallers such as Google, Microsoft, and AWS, or similar cloud partner ecosystems.

  • Proficiency in data visualization tools to report on program ROI.

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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关于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+

员工数

San Francisco

总部位置

$43B

企业估值

评价

3.8

10条评价

工作生活平衡

2.8

薪酬

4.0

企业文化

4.2

职业发展

3.5

管理层

4.0

72%

推荐给朋友

优点

Innovative technology and cutting-edge projects

Supportive and collaborative team environment

Good benefits and competitive compensation

缺点

Poor work-life balance and long hours

High pressure and stressful environment

Heavy workload and overtime requirements

薪资范围

34个数据点

Mid/L4

Senior/L5

Director

Mid/L4 · GLOBAL MOBILITY OPERATIONS MANAGER

2份报告

$162,000

年薪总额

基本工资

$130,071

股票

-

奖金

-

$162,000

$162,000

面试经验

6次面试

难度

3.2

/ 5

时长

21-35周

体验

正面 0%

中性 83%

负面 17%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Round

5

Onsite/Virtual Interviews

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge