Synced from Greenhouse · Sep 23

Engagement Manager

DatabricksSingaporePosted Sep 23, 2026
Customer Success ManagerSenior
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

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Sep 23
Posted
Greenhouse
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Job descriptionReq 8829903002

CSQ128R11

The Engagement Manager is responsible for helping customers accelerate value through adoption of the Databricks platform, working with them to Strategically solve, build and sell Programs delivered by our Forward Deployed Engineering Team. 

As an Engagement Manager, you will ensure that our customers are making the most value of our products and services by positioning our FDE and training engagements.

This role is a strategic and cross-functional position that will partner closely with Sales, Field Engineering, Partners, Support and Product Teams on campaigns, programs and content to position and sell engagements that solve our Customers most complex business problems. 

You will report to the Director, Forward Deployed Engineering.

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 understand the customer’s needs, business and definition of success, ensuring expectations are exceeded in delivery and valued solutions are developed.
  • Identify opportunities for new services by understanding potential new Business use cases and articulating the business value of upselling or extending services.
  • Develop commercial models, including leveraging Databricks and partner investment vehicles, to address customer budgetary constraints.
  • Full accountability for meeting or exceeding FDE and Training KPIs.
  • Articulate relevant customer success stories, service offerings and metrics that demonstrate value to customers.
  • Consult with clients to understand and analyze engagement scope, requirements, time, cost and benefits.
  • Estimate, scope and develop statements of work as necessary.
  • Drive resolution of delivery challenges, resource contention and scoping issues, while managing expectations.

What we look for

  • Data and AI domain knowledge, with experience helping customers realize business value through production implementations.
  • Proven experience in senior customer-facing/services sales roles requiring influencing, validating, negotiating, understanding and execution.
  • Excellent customer-facing skills and the ability to build strong relationships at all levels, including with senior executives internally and externally.
  • A consistent track record of identifying customer needs and successfully implementing solutions.
  • Strong leadership experience, including enforcing project governance and driving delivery excellence.
  • Strong service delivery and program management skills, with the ability to translate customer-success outcomes into structured program plans.
  • Proven experience estimating effort and scope for services.
  • Proven experience meeting and achieving KPIs and targets, including CSAT, bookings and revenue.
  • Outstanding communication and customer relationship skills.
  • Language Proficiency: Native-level fluency in English and professional working proficiency in Mandarin or Bahasa (both written and verbal).

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.

View original posting on Greenhouse

What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Databricks can generally expect a structured process typical of this ATS. This commonly begins with an online application and resume screen, followed by a recruiter conversation to discuss background and role fit. Depending on the position, candidates may encounter technical assessments, take-home exercises, or case studies, particularly for engineering, data, and analytical roles. The process may include multiple stages such as hiring manager conversations, panel discussions, and team or cross-functional interviews. Response times vary and communication is typically managed through the greenhouse platform, including scheduling and status updates. Candidates should prepare to discuss relevant experience, technical skills, and role-specific scenarios, as greenhouse-based processes commonly emphasize structured evaluation criteria across candidates to support consistent, comparative hiring decisions throughout the pipeline.

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Engagement Manager
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