Product Designer, Workspace Developer Experience

Reposted 24 Days Ago
Seattle, WA
In-Office
104K-145K Annually
Mid level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Design developer experiences across Databricks, focusing on intuitive authoring environments and integrating AI. Collaborate with cross-functional teams for effective design decisions.
Summary Generated by Built In

RDQ226R492

Mission

At Databricks, our mission as designers is to make data science simpler and more accessible so that more people can contribute to solving the world’s toughest problems. Product Designers at Databricks balance the creativity of a craftsperson with the analytical curiosity of a data scientist. We believe in the traditional and timeless value of great graphic design - while at the same time, we have a restless desire to get to the truth and make the best decisions possible using data. We design simple and collaborative products that have the power to delight a discriminating and highly technical audience. 

What impact you will have:

  • Design world-class developer experiences across the Databricks workspace platform
  • Create intuitive and efficient authoring environments that empower users to build sophisticated data applications
    • Design experiences that seamlessly integrate AI assistance into the development workflow 
  • Develop coherent multi-file authoring experiences with sophisticated navigation, editing, and debugging capabilities
  • Gain a deep understanding of Databricks business objectives, users, market opportunities, and competition. Become well-versed on the Databricks product and its personas (Data scientists, data engineers, data analysts and administrators)
  • Able to work closely with Engineering,  Product Management and other key cross-functional partners to drive design decision-making
  • Actively seek & provide design feedback and collaboratively improve the design process

What we look for: 

  • Minimum of 3 years of product design work experience
  • Strong technical acumen combined with exceptional UX/UI design skills, allowing you to create intuitive developer experiences for technical users
  • Experience designing IDE-like interfaces, code editors, or developer tools
  • Understanding of Git workflows and how to translate complex version control concepts into intuitive interfaces
  • Experience with gathering feedback from technical end users and some working knowledge of other user experience research methodologies
  • Proven ability to ship great developer-focused products 
  • Strong tradecraft, who is at ease drawing from a vast toolkit to get the job done
  • Natural communicator who can explain and document the behavior of the components they design 
  • A bachelor's or master’s degree or equivalent, ideally with specialization in HCI, Interaction Design, graphic design, computer science, or related disciplines
  • A portfolio showcasing the end-to-end design process, from inception to production
  • Experience with the following is a nice-to-have:
  • Designing products in the Big Data space
  • Familiarity with code editing environments or IDEs
  • Understanding of AI/ML-assisted development tools
  • Coding experience in Python, R, SQL or other languages that could be most relevant to data science and engineering

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 2 Pay Range
$103,600$145,075 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.

Top Skills

Python
R
SQL
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The Company
New York, NY
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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