.png)
RDQ327R178
At Databricks, we design tools that make complex data workflows intuitive and powerful. Our mission is to simplify how data is connected, understood, and activated so that organizations can turn information into business outcomes. Designers at Databricks blend strong visual craft with systems thinking, shaping products that support some of the most advanced data teams in the world.
We're hiring a Staff Product Designer to help build a new product category at Databricks. You will help shape agent-driven experiences that make the power of the Lakehouse accessible to a broader set of users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks.
The impact you will have
- Drive key product and design initiatives within a strategic new product area at Databricks, helping organizations activate and operationalize their data at scale.
- Define a new generation of agent-driven workflows that help users move seamlessly from data and insights to decisions and action.
- Collaborate closely with product management, engineering, and leadership to shape the future of business applications on the Databricks platform.
- Design intuitive user experiences that simplify complex workflows while preserving the flexibility and power required by enterprise organizations.
- Develop a deep understanding of Databricks business objectives, customer needs, emerging AI capabilities, and the evolving data and technology landscape.
- Conduct user research to identify customer needs, pain points, and opportunities related to data activation, and AI-assisted workflows.
- Mentor junior designers, fostering their growth and development within our team.
What we look for
- 8+ years of product design work experience
- A bachelor's or master’s degree in design, computer science, human-computer interaction, or related field
- Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeholders
- Can execute beautiful visual and interaction work that’s rooted in a data-driven, and well-researched UX process
- A system 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
- You have a unique combination of technical knowledge and visual design skills which allows you to design powerful and intuitive tooling for technical users.
- A portfolio demonstrating your end-to-end design process, from inception to production
- Experience designing products that bridge the gap between technical and business users is a strong plus. Familiarity with data, analytics, AI, or enterprise software is highly valued.
- 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.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) 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. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
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.
Databricks New York, New York, USA Office
1460 Broadway New York, New York, NY, United States, 10036
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
