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, Field Engineering, 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 engage early in the sales process to seek to understand our customers' 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 end-to-end data systems Implementation from both the technology, operations, and security/governance lenses. Production-level implementation experience as an engineer or as a project manager 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, particularly AI agents
- Excellence in presentation skills, providing proposals that enforce 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
- Bachelor's degree in Computer Science or related educational background
- Excellent verbal and written communication skills in Japanese
- Excellent written communication skills in English
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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.
Skills Required
- Bachelors degree in Computer Science or related educational background
- Production level experience with Big Data Platforms Implementation
- Experience in selling services offerings
- Experience in customer-facing roles
- Track record of identifying customer needs and implementing solutions
- Experience in Agile and Waterfall methodologies
- Strong problem solving skills regarding customer pain points
- Excellence in presentation skills
- Strong service delivery and program management skills
- Prior experience in project/program proposals at Consulting or Software/Cloud Vendors
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
-
Equity Value & Accessibility — Equity grants are a meaningful part of offers, and periodic tender opportunities and secondary options have made private equity more tangible for many employees. This perceived upside contributes to strong total-compensation sentiment in key roles.
-
Healthcare Strength — Comprehensive medical, dental, and vision coverage is paired with mental‑health resources and wellness reimbursements, indicating a robust health package. Multiple summaries highlight broad coverage that employees can practically use.
-
Leave & Time Off Breadth — Generous PTO, paid holidays/sick time, and fully paid parental leave are frequently described, with hybrid/remote flexibility common in the U.S. These policies expand time‑off accessibility across different life stages.
Databricks Insights
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.
.png){kind=logo}
