Engagement Manager, Services Sales

Posted:
12/19/2024, 8:52:15 PM

Location(s):
North Holland, Netherlands ⋅ Amsterdam, North Holland, Netherlands

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
Sales & Account Management

Pay:
$124/hr or $257,920 total comp

CSQ226R93

As an Engagement Manager (Services Account Executive as industry denomination), you will be responsible for selling a portfolio of service offerings designed to help our customers successfully adopt the products they have purchased and ultimately achieve the business outcomes they expected from utilizing our products. These service offerings include product implementation services, and training.

The EM/SAE is well-versed in services and post-sales adoption strategies, acting on 2 types of deals (1) transaction like implementation projects (2) CoE set-up for long-term transformations.The EM/SAE is fluent in value-selling, notably for the larger deals.

The EM/SAE is a trusted advisor to the account team and our customers for successful implementation, adoption, and value realization. A quota carrying role, the Services Account Executive owns the services sales strategy by proactively creating demand for new Services opportunities and partnering with the Sales team and our partners to develop and successfully execute Services sales opportunities for their assigned territory. You will report to the Sr. Director, Professional Services

The impact you will have:

  • Collaborate with software sales account teams, and our eco-system of delivery partners
  • Develop and execute a services sales strategy in the designated territory with a target account list
  • Proactively create new Services opportunities
  • Create pipeline and manage end-to-end forecasting process for Services opportunities
  • Meet and exceed quota (Impact, Implementation Services, and Training) in both new and installed base customers
  • Serve as a trusted advisor to the customer by understanding their existing and future digital transformation roadmap and driving the right mix of services to meet their needs
  • Arrange and conduct Executive and CxO services-related discussions in alignment with the account strategy
  • Lead extended team in solutioning and scoping, and proposal development
  • Execute value-based selling methodology for Impact, Implementation Services, and Training opportunities
  • 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.
  • You will work with the sales counterpart and engage early in the sales process 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.
  • You will perform as the EM/SAE in the assigned area and for meeting/exceeding Professional Services and Training bookings and revenue targets.
  • 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.
  • Help resolve delivery challenges, address resource contentions, scoping issues and manage expectations.

What we look for:

  • Extensive experience running a Professional Services and Education Services line of business.
  • Extensive experience in customer-facing roles that require a mix of influencing, validating, negotiating, understanding and execution.
  • Data and AI domain experience working with customers to realise business value through to production implementations.
  • Excellent customer-facing skills including working with Executives and other team members.
  • Experience articulating the value-based selling mode
  • Experience 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 20%, more at peak times.

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 TwitterLinkedIn 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.

Databricks

Website: https://databricks.com/

Headquarter Location: San Francisco, California, United States

Employee Count: 5001-10000

Year Founded: 2013

IPO Status: Private

Last Funding Type: Series I

Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Information Technology ⋅ Machine Learning