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Databricks

Builds cloud software for data analysis and AI

Senior Engagement Manager

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeSydney NSW, AustraliaNo salary listedIn-person

About the Job

Requirements

  • Data and AI domain knowledge and experience working with customers to realize business value through production implementations.
  • Proven experience in senior customer-facing roles requiring influencing, validating, negotiating, understanding, and execution.
  • Ability to communicate with and develop strong relationships at all levels, including senior executives internally and externally.
  • 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, including synthesizing customer success outcomes into structured program plans.
  • Proven experience estimating effort and scope for services.
  • Proven experience meeting and achieving KPIs and targets, including customer satisfaction, bookings, and revenue.

Responsibilities

  • Collaborate with the sales counterpart and engage early in the sales process to understand customer needs, business context, and success criteria; exceed delivery expectations and develop valued solutions.
  • Identify opportunities for new services by understanding potential use cases and articulating the business value of upselling or extending services.
  • Develop commercial models, including leveraging company and partner investment vehicles, to address customer budget constraints and support success.
  • Take full accountability as the Engagement Manager in the assigned area for meeting or exceeding Professional Services 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 and scope services and develop statements of work as needed.
  • Drive resolution of delivery challenges, resource contention, scoping issues, and expectation management.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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