Named Enterprise Account Executive, Financial Services

Posted One Month Ago
Be an Early Applicant
Milan, ITA
In-Office
175K-230K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Drive enterprise sales for Databricks in Italy: develop account plans, identify data/AI use cases, grow consumption and bookings, lead cross-functional teams and co-sell with cloud vendors and GSIs, and engage executives to implement data/AI transformations.
Summary Generated by Built In

SLSQ327R846

Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks.

Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape.

We are looking for a creative, delivery-oriented Named Enterprise Account Executive to join the team in Italy to maximise the phenomenal market opportunity that exists for Databricks. As an Account Executive, you know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. You will be offered huge potential for career progression with the pace of the team's growth.

You will report to the Sales Manager, Italy. 

The impact you will have:

  • You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual consumption and booking goals
  • You will lead your team, customers and partners to identify impactful data and AI use cases whilst proving out their value on the Databricks Data Intelligence platform
  • You will implement the data and AI transformation goals of your customer through a combination of strategic partnerships, well scoped professional services, training and targeted Executive engagement
  • You will develop an understanding of technical product details and roadmap to build trust with executives and technical champions

What we look for:

  • Exstensive experience selling complex solutions to Enterprise Customers
  • You will have experience managing and leading complex, federated sales campaigns in major accounts
  • You will have experience working in Data, Cloud industries with some technical sales experience
  • Proof of exceeding sales quotas in high-growth Enterprise software companies 
  • You will have experience driving consumption and commit-based engagement models and strategies working with professional services and training teams
  • You will have experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI)
  • Experience of building effective champions, collaborative teams and partnerships to support execution of your account / territory plan
  • Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisation
  • Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting
  • Bachelor's Degree or relevant work experience
  • Fluency in English and in Italian are required

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected 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. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits which can be accessed here.

Italy Pay Range
€175.000€230.000 EUR

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.

Skills Required

  • Extensive experience selling complex solutions to enterprise customers
  • Experience managing and leading complex, federated sales campaigns in major accounts
  • Experience working in Data and Cloud industries with technical sales experience
  • Proven track record of exceeding sales quotas in high-growth enterprise software companies
  • Experience driving consumption and commit-based engagement models with professional services and training teams
  • Experience co-selling and scaling business with Cloud Vendors (AWS, Azure, Google Cloud) and Global System Integrators (GSIs)
  • Experience building champions, collaborative teams, and partnerships to execute account/territory plans
  • Ability to identify key use cases and buying centers to increase product impact
  • Experience following robust sales methodologies (e.g., account planning, MEDDPICC, Value Selling) and accurate forecasting
  • Bachelor's degree or relevant work experience
  • Fluency in English and Italian

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Healthcare Strength Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
  • Parental & Family Support Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
  • Wellbeing & Lifestyle Benefits Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.

Databricks Insights

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The Company
HQ: San Francisco, CA
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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