Sr. Product Designer, Lakebase

RDQ426R236

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we’re only getting started.

As a Product Designer on the Lakebase team, you’ll help define and deliver developer workflows that power how users search, navigate, query, branch, and manage compute in Neon and Lakebase. Your work will directly impact how developers adopt our platform, shaping both first-time user experiences and repeat workflows in a high-visibility, strategic product area.

The impact you will have

• Design and launch innovative database service features: Partner with PM/Eng to define, prototype, validate, and bring new Lakebase capabilities to GA.
• Integrate UX between Neon and Databricks: Create scalable design patterns that harmonize both product lines, ensuring consistent interaction models and a shared standard of high-quality UX across the platform.
• Validate with users: Run usability tests and synthesize findings on at least 3 major feature launches, incorporating feedback into iterative improvements.
• Cross-functional alignment: Partner with PM and engineering to scope, prototype, and deliver features on time, contributing to quarterly OKRs for the Lakebase team.

What we look for

• 5+ years of product design work experience.
• Bachelor’s degree or equivalent, ideally in HCI, Interaction Design, Graphic Design, Computer Science, or a related field.
• Experience shipping great digital products. A designer’s involvement never stops—you’re comfortable overseeing and impacting the entire process from idea to GA.
• Can execute beautiful visual and interaction work rooted in a data-driven, well-researched UX process.
• Technical fluency: Comfortable discussing tradeoffs with engineers and working within the constraints of cloud services and data platforms.
• User research capability: Plan/run studies, synthesize feedback, and make data-informed decisions that move key metrics.
• Systems thinking: Apply and extend design systems for consistency and scale across multiple surfaces.
• Collaboration & communication: Present rationale clearly, influence product decisions, and align diverse stakeholders in a fast-moving environment.
• Outcome orientation: Define success with metrics and iterate to hit them.
• Portfolio: Work that showcases end-to-end problem solving—from framing to shipped outcomes.
• Familiarity with Git processes and modern databases such as Postgres

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.

$130,900

$183,175 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 onTwitter,LinkedInand

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.