--- title: 'Sr. Product Designer at Databricks' canonical: 'https://feeny.ai/job/sr-product-designer-databricks-amsterdam-drswwm0e6mh8' type: 'job' last_seen: '2026-11-07' --- # Sr. Product Designer at Databricks - **Company:** Databricks - **Location:** Amsterdam, Netherlands / Berlin, Germany / London, United Kingdom - **Posted:** 2026-11-04 - **Last confirmed live:** 2026-11-07 - **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8923866002 ## Job description P-1626 Senior Product Designer At Databricks, we design tools that make complex data and AI workflows intuitive and powerful. Our mission is to simplify how data is connected, understood, and activated so organizations can turn information into business outcomes. Designers at Databricks combine strong visual craft with systems thinking. They shape products used by some of the most advanced data teams in the world, and increasingly by the business users and AI agents working alongside them. We're hiring Product Designers to join our design team and own design for an area of the Databricks Platform. Teams span the platform, from data engineering and analytics to databases, apps, and AI agents. We match each designer to the area where their skills and interests will have the most impact. You'll design for both technical and business users of data, making powerful capabilities feel clear, controllable, and trustworthy for enterprise customers. The impact you will have - Own your area end to end. Sharpen the problem, set the design direction, and carry the work from framing and interaction models through visual polish and shipped detail. - Set the quality bar. Make the critical design decisions in your area, review work from designers, PM, engineering, and AI tools, and have the hands-on skill to improve it yourself. - Advocate with evidence. Stay in regular contact with customers, choose research methods that fit the decision, and turn research into insights others can act on. - Show the experience got better. Define what success looks like for the key tasks users need to get done, and show the improvement through usability testing, research, and how people actually use what shipped. - Influence through the work. Move product and engineering decisions with prototypes, keep design reviews focused, and communicate clearly in writing and in person. - Prototype to explore and align. Use interactive prototypes as a primary thinking tool to explore ambiguous problems, reduce risk, and align the team on a direction. - Design directly in the codebase with coding agents. Use AI coding agents to ship well-scoped design changes alongside engineers, rather than handing off static mocks. - Define reusable UX principles. Create interaction patterns and frameworks other teams reuse, and drive consistency through a strong, cross-platform design system. - Raise the level of critique. Give and invite high-quality feedback, and help make clear decisions together with product and engineering. ## What we look for - 5+ years of product design work experience. - A bachelor's or master's degree in design, computer science, human-computer interaction, or a related field. - A portfolio demonstrating your end-to-end design process, from inception to production. - Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeholders. - A systems thinker who has the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally. - A deep understanding of business goals, customer needs, emerging AI capabilities, and the evolving data and technology landscape. - Self-directed and comfortable in ambiguity. You help shape product direction when the path isn't defined. - Beautiful visual and interaction work rooted in a data-driven, well-researched UX process. ## Nice to have - Experience designing developer tools, data/analytics products, AI/ML products, or enterprise software. - Experience designing products that bridge the gap between technical and business users. - The strongest candidates have demonstrated experience using modern development and AI-assisted coding tools to prototype ideas, understand implementation tradeoffs, and collaborate deeply with engineering teams. ## 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. 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