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Benefits Diversity Engineering Research Students & new grads Back to search results Staff Product Designer, AI Products New York City, New York Apply now 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 . Zone 1 Pay Range $166,600 — $229,150 USD 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 Twitter , LinkedIn and Facebook .
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. Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Product Databricks Platform Platform Overview Sharing Governance Artificial Intelligence Business Intelligence Database Data Management Data Warehousing Data Engineering Business Productivity Application Development Security Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Product Databricks Platform Platform Overview Sharing Governance Artificial Intelligence Business Intelligence Database Data Management Data Warehousing Data Engineering Business Productivity Application Development Security Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions AI Agents AI Governance Cybersecurity Marketing Data Migration Forward Deployed Engineering Solution Accelerators Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions AI Agents AI Governance Cybersecurity Marketing Data Migration Forward Deployed Engineering Solution Accelerators Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog AI Blog Data Brew Podcast Champions of Data & AI Podcast Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog AI Blog Data Brew Podcast Champions of Data & AI Podcast About Company
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Salary
$166,600 - $229,150
Location
New York City, New York
Experience
8+ years
Last stage
Growth
Investors
Ali Ghodsi
CEO
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.