# Sr. Product Designer, AI/BI at Databricks > United States · Senior · Design · open. Source: https://alderhq.app/jobs/greenhouse%3Adatabricks%3A8429978002 (read 2026-11-05). ## Facts (observed) - Company: [Databricks](https://alderhq.app/companies/databricks) - Location text: Mountain View, California; San Francisco, California; Seattle, Washington; Seattle, Washington - Where it can be done from (inferred): United States (evidence: "Location: Mountain View, California; San Francisco, California; Seattle, Washington; Seatt") - Posted: 2026-02-19 (258 days ago) - First seen by alder: 2026-11-03 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://databricks.com/company/careers/open-positions/job?gh_jid=8429978002 - Skills listed (inferred): React, CSS, Python, SQL, LLMs ## Pay and sponsorship - Posted pay: $145k–$199k per year (from the listing's pay field) - Market band for similar posted roles (SF Bay Area, n 64): p25 $165k, median $182k, p75 $210k - H-1B filings at this company for similar roles, FY26: 7, median offered wage $157k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance)) - Recognised sponsor (NL): registered as "Databricks" (checked 2026-11-03, [register](https://ind.nl/en/public-register-recognised-sponsors/public-register-regular-labour-and-highly-skilled-migrants)) - Licensed UK sponsor: registered as "Databricks UK Limited" (checked 2026-11-03, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers)) ## Description (the employer's text) RDQ427R273 ### Mission At Databricks, our mission is to simplify and democratize data and AI so more organizations can solve the world’s toughest problems. As a Product Designer focused on AI/BI experiences, your mission is to make advanced analytics, generative AI, and business intelligence intuitive, trustworthy, and actionable for both technical and non-technical users. As a Product Designer focused on AI/BI experiences, you won’t just design dashboards or workflows. You’ll design how humans and AI think together. You’ll help define what it feels like to ask a question of your company’s data in plain language — and receive an answer you can trust. You’ll shape how insights are generated, explained, challenged, and shared. You’ll craft the bridge between complex AI systems and real human decisions. You'll be working closely with the product and engineering teams based in Seattle. ### The impact you will have - Reimagine how users explore data using natural language and AI assistance - Design interactions that make AI-generated insights transparent and trustworthy - Create experiences that move from exploration → validation → action in minutes - Enable collaboration between data engineers, analysts, and business leaders - Help define new design patterns for AI-native enterprise software - Influence long-term AI/BI strategy, contributing to how Databricks differentiates in the modern analytics landscape. ### What we look for - 5+ years of product design work experience. - A bachelor's degree or equivalent, with specialization in HCI, Interaction Design, graphic design, computer science, or related disciplines. - You’re comfortable talking to strategic customers in key decision-making positions. - Experience shipping great digital products. We strongly believe that a designer’s involvement never stops. You should be comfortable overseeing and impacting the entire process from idea to GA. - 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 engineering tooling. - A portfolio showcasing the end-to-end design process. - Experience designing products in the Cloud, Developer Experience, AI, or Big Data space is a nice-to-have. - Coding React, SQL, CSS, and/or Python is a nice-to-have. ### 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 $144,800—$199,100 USD ### 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. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Adatabricks%3A8429978002 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.