Most Loved Workplace® Certified Job

Strategic Core Account Executive - Insurance, m/f/d

Most Loved Workplace® Certified Job

92% of candidates apply because they are a Most Loved Workplace®

Munich, Germany

Enterprise Sales

About the Role

At Databricks, a Most Loved Workplace® certified employer in the Technology space, Democratizing data and AI for every organization worldwide.

SLSQ427149

Databricks operates at the leading edge of the unified data, analytics 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.

As we continue our rapid expansion across Central Europe, we are looking for a creative, execution‑oriented Strategic Account Executive to join the team in Germany and maximise the phenomenal market opportunity that exists for Databricks within the insurance vertical. Reporting to our Senior Director of Enterprise Sales, you will focus on building relationships and closing new business opportunities within one of Germany’s largest Reinsurers, based in Munich. You will be part of an account team supporting this highly strategic client. Leveraging your consultative sales experience in the Insurance/FSI vertical, you will help shape the data and AI strategy, identify and progress high-value opportunities, and deliver tangible business outcomes.

The impact you will have:

You will take ownership of your flagship account, define a clear strategy, and relentlessly drive it to exceed revenue and consumption goals.

</li>

You will turn that strategy into action, executing with urgency and discipline to consistently overachieve your targets.

</li>

You will build boardroom‑level relationships, becoming the trusted advisor on all things data and AI for senior stakeholders up to and including C‑level.

</li>

You will uncover and shape new business, expanding use cases and driving deeper platform consumption across your account.

</li>

You will orchestrate the full Databricks ecosystem, mobilising internal teams to maximise impact and customer value.

</li>

You will demonstrate compelling value in every engagement, leading confident, insight‑led negotiations that take opportunities all the way to close.

</li>

</ul>

What we look for

<ul>

A proven record of exceeding revenue targets in complex enterprise sales environments.

</li>

Recognised insurance domain expertise, applied to expanding strategic Insurance/FSI accounts in Germany through deep understanding of regulatory, risk, and compliance dynamics.

</li>

Proven success selling data, analytics, big data, AI, or other highly technical cloud software solutions through complex, multi-stakeholder, multi-year enterprise sales cycles

</li>

</ul>

<ul>

<li>The ability to identify high-impact data and AI use cases and engage key buying centres to expand Databricks’ footprint and strategic relevance within an organisation.</li>

</ul>

<ul>

Strong understanding of consumption-based, land-and-expand models, with the ability to drive sustained growth within a single strategic account.

</li>

Demonstrated ability to create and shape demand, translating customer priorities into measurable business value.

</li>

Disciplined use of sales methodologies such as MEDDPICC, account planning, Value Selling, or Command of the Message, combined with strong pipeline management and accurate forecasting.

</li>

A track record of building executive-level champions and cross-functional account teams to execute against a defined account and territory strategy.

</li>

Experience developing and executing partner strategies that extend reach, accelerate deal velocity, and support complex enterprise opportunities.

</li>

Willing and able to travel to customer sites, company and industry events - regionally and internationally

</li>

Fluent in German and English, with the credibility to engage, challenge, and influence senior stakeholders up to C-level.

</li>

</ul>

&nbsp;

&nbsp;<div class="content-conclusion">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&nbsp;<a style="color: rgb(255, 54, 33);" href="https://twitter.com/Databricks" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://twitter.com/Databricks&amp;source=gmail&amp;ust=1700237575733000&amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C">Twitter</a>,&nbsp;<a style="color: rgb(255, 54, 33);" href="https://www.linkedin.com/company/Databricks" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.linkedin.com/company/Databricks&amp;source=gmail&amp;ust=1700237575733000&amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt">LinkedIn</a>&nbsp;and&nbsp;<a style="color: rgb(255, 54, 33);" href="https://www.facebook.com/databricksinc" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.facebook.com/databricksinc&amp;source=gmail&amp;ust=1700237575733000&amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ">Facebook</a>. 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 <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.

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.</div>

Want to learn more about what it's like to work at Databricks? View our full profile.

Prefer to apply on the company's career site?

View Original Posting

Why This Is a Most Loved Workplace® Certified Job

Systemic Collaboration

As Databricks continues our rapid growth, we strive to maintain a culture as open and transparent as it was in Databricks’s early days. Making sure employees have regular access to our CEO and co-founders to hear directly about our vision and priorities helps our employees forge a connection between Databricks priorities and their daily work.

Positive Vision for the Future

Databricks’ culture principles are derived from an internal study of the behaviors that have led to high impact work at Databricks. These values have a direct impact on company culture and play a large part in connecting teams across the organization. We believe in being customer-obsessed, truth-seeking, operating from first principles, having a bias for action, and putting Databricks first. Our co-founders are fully involved in day-to-day operations, including business and technical reviews, working alongside our team members to ensure that we are always aligned with our values.

Alignment of Values

Databricks’ CEO and Co-founder, Ali Ghodsi leads by example with a focus on truth-seeking and first principles thinking, two of Databricks’ core values that stay true to Databricks’s origins in academia. He champions the importance of data and reason to question biases and inform decisions. Ali remains hands-on with research and development and hosts company-wide weekly all hands, with a CEO “ask me anytime” session at the beginning of every agenda. His transparency and accessibility are core to the open and collaborative culture of Databricks.

Respect

At Databricks, we cultivate an environment where all employees can bring their unique selves and are empowered to do the best work of their careers. To ensure all voices are heard and ideas are valued, we conduct annual culture and pulse surveys and host all-hands Q&As to collect feedback from all employees. We then report back to Databricks on the specific changes implemented from the feedback collected to ensure employees feel heard and that their feedback is valued. In addition, we invest in our seven Employee Resource Groups (ERGs) that offer support and employee engagement events for individuals from underrepresented backgrounds and allies.

Killer Outcomes

Databricks prioritizes offering an exceptional employee experience by investing in tools, workspaces, and community-building. Our collaboration-first, hybrid model offers flexibility with in-person touchpoints like our annual employee kickoff, weekly CEO all-hands with happy hours, and monthly team building budgets. We are especially focused on maintaining a culture of transparency, honesty, and trust, with leaders actively engaging across channels like Slack and all hands while also championing inclusion efforts through ERG sponsorship. These initiatives help our team feel connected, valued, and empowered to do their best work.

What It's Like to Work Here

zap Bias for Action

lightbulb First Principles Innovation

users Collaborative Excellence

target Truth-Seeking Rigor

compass Generational Mission Focus

Certified for: Global Top 100 Most Loved Workplaces®, Certified Most Loved Workplaces® 2025, Top 100 Most Loved Workplaces® 2025

Frequently Asked Questions About Working at Databricks

Common questions candidates ask about this role and Databricks's workplace

With the Data Intelligence Platform, Databricks democratizes insights to everyone in an organization. Built on an open lakehouse architecture, the Data Intelligence Platform provides a unified foundation for all data and governance, combined with AI models tuned to an organization’s unique characteristics. Now, anyone in an organization can benefit from automation and natural language to discover and use data like experts, and technical teams can easily build and deploy secure data and AI apps and products. With origins in academia and the open source community, Databricks was founded in 2013 by the original creators of the lakehouse architecture and open source projects Apache Spark™, Delta Lake, MLflow and Unity Catalog.

Please review the specific job listing or contact Databricks's recruiting team for details on remote or hybrid work options for this role.

Salary information may vary by role and location. Please check the specific job listing or discuss compensation during the interview process.

Databricks is an established organization in its industry. The company is a certified Most Loved Workplace®, highlighting a strong, positive culture and committed workforce.

Key benefit categories include: Health & Wellness, Work-Life Balance, Office & Lifestyle, Professional Development, Financial. You can view more details on their CertCheck profile.

The day-to-day environment is guided by core values such as Bias for Action and First Principles Innovation and Collaborative Excellence.

The company has committed to inclusive practices including: Customer Obsession with Integrity and Empowering Every Team Member.

They score particularly well in the area of Systemic Collaboration. They have earned Most Loved Workplace® certifications including: Global Top 100 Most Loved Workplaces® and Certified Most Loved Workplaces® 2025.

Databricks currently has 789 open positions. They are hiring across departments like Field Engineering - Other, Delivery Solutions Architects, Enterprise Sales. You can view all current openings at certcheck.mostlovedworkplace.com/companies/databricks/jobs.

The interview process typically involves an initial recruiter screen followed by team interviews. Please contact Databricks's recruiting team for specific details on this role's process.