Synced from Greenhouse · Jul 1

Engagement Manager

DatabricksSydney, AustraliaPosted Jul 1, 2026
Customer Success ManagerSenior
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

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Jul 1
Posted
Greenhouse
Applicant system
Job descriptionReq 8469396002

CSQ227R247

The Engagement Manager is responsible for helping customers accelerate value through the adoption of the Databricks platform working with them defining and orchestrating the required engagement to ensure success.

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, Partners 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
  • Develop commercial models including leveraging Databricks and Partner investment vehicles to help address our customer budgetary constraints for success.
  • Performs as the Engagement Manager in the assigned area with full accountability for meeting/exceeding Professional Services and Training KPIs.
  • 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:

  • Data and AI domain knowledge and experience working with customers to realise business value through to production implementations
  • Proven experience in senior customer-facing roles that require a mix of influencing, validating, negotiating, understanding and execution
  • Excellent customer-facing skills and the ability to communicate with and develop strong relationships at all levels including with senior executives both internally and externally
  • Consistent track record of identifying customer needs and successfully implementing solutions
  • Demonstrate strong leadership experience, the ability to enforce good project governance and drive delivery excellence
  • 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
  • Proven experience in estimating effort and scope for services 
  • Proven experience in meeting and achieving KPI and targets including CSAT, Bookings and Revenue.
  • Outstanding communication and customer relationship skills

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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