---
title: 'Strategic Core Account Executive - Insurance, m/f/d at Databricks'
canonical: 'https://feeny.ai/job/strategic-core-account-executive-insurance-m-f-d-databricks-munich-7xz0281hv3e7'
type: 'job'
last_seen: '2026-09-12'
---

# Strategic Core Account Executive - Insurance, m/f/d at Databricks

- **Company:** Databricks
- **Location:** Munich, Germany
- **Posted:** 2026-02-10
- **Last confirmed live:** 2026-09-12
- **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8353246002

## Job description

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.

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

- 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.

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

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

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

## What we look for

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

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

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

- 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.

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

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

- 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.

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

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

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

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

## 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](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en).

## 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](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing).

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.

## About Databricks

## Company Overview
- **One-liner**: Databricks provides a unified data and AI platform built on an open lakehouse architecture, enabling organizations to manage data, analytics, and AI at scale.
- **Entity Type**: Private (late-stage, last reported valuation ~$43B in 2021, but current valuation not publicly disclosed)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2013
- **Founders**: Original creators of Apache Spark™, Delta Lake, MLflow, and Unity Catalog (co-founders include Ali Ghodsi, Matei Zaharia, Ion Stoica, Patrick Wendell, Reynold Xin, among others)

## Core Business
- Primary industry: Data & AI Platform / Enterprise Software
- Target customers: B2B – Enterprise, SMB, and government organizations; over 20,000 customers worldwide, including 70% of the Fortune 500
- Mission: “Simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems.” [databricks.com](https://www.databricks.com/company/about-us)

## Products & Services
- **Databricks Data Intelligence Platform**: Unified platform for data engineering, data warehousing, data science, machine learning, and AI. It integrates open-source technologies like Apache Spark, Delta Lake, MLflow, and Unity Catalog.
- **Lakebase**: Serverless Postgres database integrated with the lakehouse, built for the AI era.
- **Genie**: AI-powered natural language assistant for data insights and querying.
- **Agent Bricks**: Tools for building AI agents that continuously improve quality and accuracy on an organization’s data.
- **Additional offerings**: Data warehousing, business intelligence, governance, data engineering, and AI/ML services.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company; last reported valuation of $43B in 2021 from a Series I round, but no recent official disclosure)
- **Key Metric**: Over 10,000 employees; 20,000+ customers; 70% of Fortune 500; 1,200+ global partners [databricks.com](https://www.databricks.com/)
- **Notable Investors/Partners**: Not explicitly listed in search results, but known investors include Andreessen Horowitz, Tiger Global, Microsoft, and others. Partners include major cloud providers (AWS, Azure, GCP) and consulting firms.
- **Growth Signals**: Headcount of 10,000+ employees; offices in 30+ locations across 20+ countries; 5x Leader in Gartner® Magic Quadrant™ Reports; LinkedIn job postings growing 26.7% year-over-year (783 active positions) [linkedin.com](https://www.linkedin.com/company/databricks)

## Competitive Advantages
- **Open lakehouse architecture**: Combines data lake and data warehouse capabilities with open-source standards, avoiding vendor lock-in.
- **Founding team behind Apache Spark, Delta Lake, MLflow**: Deep technical credibility and active open-source community.
- **Unified platform**: Single solution for data engineering, analytics, and AI, reducing complexity for enterprises.
- **Strong data governance**: Unity Catalog provides centralized access control and lineage.
- **AI-native**: Built-in AI capabilities (Genie, Agent Bricks) that leverage an organization’s own data.

## Strategic Focus
- Expanding AI capabilities with natural language interfaces and autonomous agents.
- Deepening integrations with cloud providers and open-source ecosystems.
- Scaling enterprise sales and global footprint (30+ offices, focus on EMEA and APAC).
- Cultivating a developer and data science community through university programs and open-source contributions.

## Why Work Here
- **Culture**: Described as “innovators, builders and truthseekers” with a focus on solving hard technical problems. Emphasizes inclusion, diversity, and equity, including closing the pay gap and removing unconscious bias from recruitment. [databricks.com](https://www.databricks.com/company/careers)
- **Work Environment**: Hybrid/flexible work model; benefits and perks include health, well-being, and flexible ways of working. Offices in major cities globally.
- **Engineering Culture**: Strong emphasis on open-source, AI, and data infrastructure. Opportunities for interns and new grads to contribute to core platform. Hackathons, board game nights, and social events.
- **Growth**: Fast-growing company (10,000+ employees, 20,000+ customers) with ambitious scaling plans, offering career advancement in engineering, sales, product, and more.

## Sources
1. [Databricks About Us](https://www.databricks.com/company/about-us)
2. [Databricks Careers](https://www.databricks.com/company/careers)
3. [Databricks Homepage](https://www.databricks.com/)
4. [Databricks LinkedIn](https://www.linkedin.com/company/databricks)

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