Role at a glance
- Salary
- Not Disclosed
- Location
- Australia - Sydney
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Proven experience in senior customer-facing roles
Spotted an issue?
We’ll check it against the original posting.
Role Summary
The Engagement Manager helps customers accelerate value through adoption of the Databricks platform by defining, orchestrating, and managing professional services and training engagements. The role partners with Sales, Field Engineering, Partners Support, and Product Teams to support customer success and reports to the Sr. Director, Professional Services.
What You'll Do
- Collaborate with sales counterparts early in the sales process to understand customer needs, business objectives, and success criteria.
- Identify opportunities for new services by addressing potential use cases and articulating business value.
- Develop commercial models using Databricks and partner investment vehicles to address customer budget constraints.
- Manage assigned engagements with accountability for Professional Services and Training KPIs.
- Consult with clients to define engagement scope, requirements, time, cost, and benefits, and develop statements of work.
- Drive resolution of delivery challenges, resource contention, scoping issues, and expectation management.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Data and AI domain knowledge; senior customer-facing experience; strong communication, customer relationship, leadership, service delivery, and program management skills; experience estimating effort and scope for services and achieving KPIs and targets.
Required
- Data and AI domain knowledge and experience working with customers to realise business value through to production implementations
- Experience in senior customer-facing roles involving influencing, validating, negotiating, understanding and execution
- Excellent customer-facing communication and relationship-building skills, including with senior executives
- Experience identifying customer needs and successfully implementing solutions
- Strong leadership experience and ability to enforce project governance and drive delivery excellence
- Strong service delivery and program management skills
- Experience estimating effort and scope for services
- Experience meeting and achieving KPIs and targets, including CSAT, Bookings and Revenue
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.