Engagement Manager

Posted Yesterday
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Tokyo
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
The Engagement Manager ensures customer success by overseeing the delivery and support of professional services. Responsibilities include collaborating with sales, managing customer engagement, driving resolution of delivery challenges, and identifying new service opportunities. The role demands strong problem solving and project management skills, with an emphasis on maintaining customer satisfaction and improving service delivery through effective communication and stakeholder management.
Summary Generated by Built In

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 Sr. 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, 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.

Top Skills

Big Data
The Company
New York, NY
2,200 Employees
On-site Workplace
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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