CSQ326R411

The Engagement Manager works to establish a deeper partnership with Retail customers by creating a dedicated line of sight to successful architecture and use of the Databricks platform to achieve the best value for our customers. They aim to exceed customer satisfaction expectations throughout the life-cycle, from orchestrating the engagement to vision to delivery and beyond.

The Engagement Manager ensures our customers are making the most value of our products and services by positioning, preparing the delivery, and follow-up of our professional services and training engagements. You will be in a strategic and cross-functional position to partner closely with Sales, Customer Success, Support, and Product Teams on campaigns, programs, and content. In this position, you will report to the Director, Professional Services, working closely with cross-functional teams to deliver excellence at every stage.

The impact you will have:

• Identify opportunities for new services by understanding and addressing potential new use-cases and explaining the business value in the upsell or extension of services.

• You will perform as the Engagement Manager in the assigned area and for meeting/exceeding Professional Services and Training bookings and revenue targets.

• Consult with clients to understand engagement scope, requirements, time, cost, and benefits. You will be responsible for estimating, scoping, and developing the statement of work documents.

• You will work closely with the sales counterpart and engage early in the sales process to understand our customers' needs, their businesses, and how success is defined, ensuring that we exceed expectations in delivery and develop valued solutions.

• You will demonstrate a passion for the job and lead by example by putting Databricks and our customers first to achieve the sales and delivery mission.

• Resolve delivery challenges, address resource contentions, scoping issues and manage expectations.

What we look for:

• 5+ years running a Professional Services and Training Services line of business with a focus on Retail clients.

• 5+ years in customer-facing roles that require a mix of influencing, validating, handling negotiations, understanding and execution.

• Data and AI domain experience working with Retail customers to realize business value through to production implementations.

• Excellent customer-facing skills, including working with Executives and other team members.

• Experience in identifying customer needs and implementing solutions.

• Service delivery and program management skills with the ability to summarize customer success outcomes into well-structured program plans.

• Travel is required up to 25%, more at peak times.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range**$131,800**—$184,525 USDZone 2 Pay Range**$118,600**—$166,000 USDZone 3 Pay Range**$112,000**—$156,775 USDZone 4 Pay Range**$105,400**—$147,550 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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, please visit https://www.mybenefitsnow.com/databricks.

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.