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トレンド企業

トレンド企業

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求人Databricks

Engagement Manager

Databricks

Engagement Manager

Databricks

Tokyo, Japan

·

On-site

·

Full-time

·

3d ago

Req: CSQ427R98
Location: Tokyo, Japan

The Engagement Manager assures customer success by driving customer satisfaction throughout the customer success & services life-cycle for our customers, from orchestrating the engagement to successful delivery and beyond.

As an Engagement Manager, you will ensure that our customers are making the most value of our products and services by positioning, preparing, managing the delivery and follow-up of our professional services and training engagements. This role is a strategic and cross-functional position that will partner closely with Sales, Customer Success, Support and Product Teams on campaigns, programs, and content. You will report to the Director, Professional Services.

The impact you will have:

  • Demonstrate a passion for the job and lead by example by putting Databricks and our customers first to achieve the sales and delivery mission
  • Collaborate with the sales counterpart and engages early in the sales process to seek to understand our customer's needs, their business, how success is defined, and ensure that we are exceeding expectations in delivery and developing valued solutions
  • Identify opportunities for new services by understanding and addressing potential new use-cases and the ability to articulate the business value in the upsell, or extension of services
  • Performs as the Engagement Manager in the assigned area with full accountability for meeting/exceeding Professional Services and Training bookings and revenue targets
  • Ability to articulate relevant customer success stories, services offerings, and metrics that demonstrate value to the customer
  • Consult with clients to understand and analyze engagement scope, requirements, time, cost and benefits. Responsible for estimating, scoping and developing the statement of work documents as necessary
  • Drive resolution of delivery challenges, address resource contentions, scoping issues and manage expectations

What we look for:

  • Strong fundamental knowledge around Big Data Platforms Implementation from both the technology, operations, and security/governance lenses. Production level experience is preferred
  • Proven experience in the following
  • Selling services offerings at either implementation, advisory, education, and change management capacity.
  • Senior customer-facing roles that require a mix of influencing, validating, negotiating, understanding and execution to both business and technology audiences
  • Consistent track record of identifying customer needs and successfully implementing solutions
  • Owning projects/programs in agile scrum/kanban delivery methodology as well as waterfall methodology
  • Strong problem solving skill about customer’s pain points by using modern technologies
  • Excellence in presentation skills, providing proposals that enforces good project governance and drive scalable delivery practices to both internal and external executives.
  • High level orchestration skills to align both internal and external stakeholders when proposing large initiatives
  • Strong service delivery and program management skills with the ability to synthesize customer success outcomes into well-structured program plans that deliver against such outcomes
  • Prior experience in project/program proposal to customers at Consulting, SI, Software/Cloud Vendor is highly preferred
  • Bachelors degree in Computer Science or related educational background

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について

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+

従業員数

San Francisco

本社所在地

$43B

企業価値

レビュー

3.8

10件のレビュー

ワークライフバランス

2.8

報酬

4.0

企業文化

4.2

キャリア

3.5

経営陣

4.0

72%

友人に勧める

良い点

Innovative technology and cutting-edge projects

Supportive and collaborative team environment

Good benefits and competitive compensation

改善点

Poor work-life balance and long hours

High pressure and stressful environment

Heavy workload and overtime requirements

給与レンジ

34件のデータ

Mid/L4

Senior/L5

Mid/L4 · Delivery Solutions Architect

6件のレポート

$198,722

年収総額

基本給

$153,171

ストック

-

ボーナス

-

$167,430

$216,850

面接体験

6件の面接

難易度

3.2

/ 5

期間

21-35週間

体験

ポジティブ 0%

普通 83%

ネガティブ 17%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Round

5

Onsite/Virtual Interviews

6

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge