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Sr. Product Designer, AI/BI

Databricks

Sr. Product Designer, AI/BI

Databricks

Mountain View, California; San Francisco, California

·

On-site

·

Full-time

·

1w ago

Compensation

$144,800 - $199,100

Benefits & Perks

Equity

Healthcare

401(k)

Equity

Healthcare

401k

Required Skills

Product Design

User Experience Design

Visual Design

Interaction Design

User Research

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**

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, please visit https://www.mybenefitsnow.com/databricks.

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.

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About Databricks

Databricks

Databricks

Series I

Databricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.

6,000+

Employees

San Francisco

Headquarters

$43B

Valuation

Reviews

4.2

9 reviews

Work Life Balance

3.5

Compensation

4.7

Culture

4.3

Career

4.5

Management

4.0

86%

Recommend to a Friend

Pros

Working on industry-leading data and AI platform

Excellent compensation with high equity upside

Strong engineering culture with Apache Spark creators

Cons

High intensity work environment with demanding deadlines

Work-life balance can suffer during key releases

Growing pains as company scales rapidly

Salary Ranges

25 data points

Junior/L3

Mid/L4

Principal/L7

Senior/L5

Staff/L6

VP

Director

Junior/L3 · Product Manager L3

0 reports

$237,075

total / year

Base

-

Stock

-

Bonus

-

$201,514

$272,636

Interview Experience

9 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Offer Rate

22%

Experience

Positive 22%

Neutral 67%

Negative 11%

Interview Process

1

Application Review

2

Recruiter/Phone Screen

3

Technical Interview/Coding Round

4

System Design Interview

5

Behavioral Interview

6

Final Round/Hiring Manager Interview

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge