You will enjoy full ownership of building and scaling the commercial and mid-market customer base, with the freedom to shape your approach and make a real impact. You will manage the end-to-end sales process, from discovery to close, including demos, negotiations, and building lasting relationships.

You will become an Airtable product expert, delighting prospects with a phenomenal educational experience, and helping cross-functional teams with product feedback and user insights.

To succeed in this role, you will need 3+ years in a SaaS sales role with a track record of success, minimum 2+ years closing experience. You will also need experience as a customer account manager as well as a new logo hunter.

In addition to your sales expertise, you will need strong business acumen, including prior experience managing multiple concurrent client relationships, anticipating change, adjusting priorities accordingly, and working effectively as a team.

You will embody a growth mindset and seek out opportunities to constantly learn and grow. You will be an extreme curiosity to learn about the product, the industry, and your customer's businesses.

Nice to have: Language skills, such as French and German, and Airtable or no-code ecosystem experience.

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Reporting to the Director of Enterprise Sales, you will assess your list of assigned accounts and develop a strategy to execute against it. You will build a customer base, identifying and closing new logo opportunities, and lead your customers and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Lakehouse platform.

Key responsibilities include:

• Identifying land opportunities and developing the expand/consumption use cases
• Orchestrating and utilising internal teams to maximise the impact on your ecosystem
• Building exceptional value with all engagements to guide successful negotiations to close

We look for candidates with a minimum of 5+ years of experience selling SaaS solutions to Enterprise Customers, extensive experience and strong performance in new logo hunting, and experience working in Big Data, Cloud, or SaaS industries with some technical sales experience.

Benefits include comprehensive benefits and perks that meet the needs of all employees, and a commitment to fostering a diverse and inclusive culture where everyone can excel.

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Reporting to the Director of Enterprise Sales, you will be responsible for driving strategic growth and expanding our footprint across the region's most critical enterprise accounts.

Key responsibilities include:

Assessing your list of assigned accounts and developing a strategy to execute against it Building a customer base, identifying and closing new logo opportunities Leading your customers and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Lakehouse platform Identifying land opportunities and developing the expand / consumption use cases Orchestrating and utilising internal teams to maximise the impact on your ecosystem Building exceptional value with all engagements to guide successful negotiations to close point

Requirements include:

Minimum 5+ years of experience selling SaaS solutions to Enterprise Customers Extensive experience and strong performance in new logo hunting Experience working in Big Data, Cloud, or SaaS industries with some technical sales experience Successful experience selling complex software deals and quota over-achievement Understanding of consumption based land and expand sales models is advantageous Knowledge of the Data & AI space with some technology sales experience Evidence of creating demand that delivered substantial business value Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting Experience of building effective champions, collaborative teams and partnerships to support execution of your 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 Fluency in business English and a Nordic language is required

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