Synced from Greenhouse · Jul 1

Engineering Manager - UI Platform

DatabricksSeattle, WashingtonPosted Jul 1, 2026
Engineering ManagerSenior
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

$182k–$247k
Compensation
900
Other open Databricks roles
Jul 1
Posted
Greenhouse
Applicant system
Job descriptionReq 8013809002

P-1413

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. 

We are the UI Platform team, responsible for enabling all frontend developers at Databricks to build amazing features. We support hundreds of developers working in the frontend every week, making sure that they can use AI tooling to build features, can quickly ship them to production, and have best-in class monitoring and observability of what they build.. We own all aspects of the dev loop, relying on industry-standard technology like Typescript, React, GraphQL, yarn, node and more!  

We're seeking a dedicated Engineering Leader for our Developer Experience team. This team is responsible for the entire life cycle of a feature: dev loop, submitting, pushing, monitoring… everything needed to ensure smooth delivery of code from the developer’s head to production!

 

You will report directly to the Senior Manager of Engineering.

The main responsibilities include:

  • You will lead a talented engineering team in UI Platform focused on making our frontend developer experience amazing.
  • You will oversee sustained recruitment of top-tier talent, and developing talent on the team.
  • You will build processes to implement product vision and strategy, according to organizational goals and priorities.
  • You will build software that is not just high quality, but easy to operate.
  • You will manage technical debt, including long-term technical architecture decisions, and balance product roadmap.

What we look for:

  • 5+ years of hands-on experience in web frontend development, with a strong preference for React-based applications
  • 2+ years leading and managing a high-performing engineering team.
  • A passion for infrastructure, tooling, developer productivity, or performance optimization and the ability to drive technical initiatives that improve overall team efficiency and code quality
  • Demonstrated ability to mentor, coach, and develop engineering talent at various levels
  • Ability to drive technical initiatives that improve overall team efficiency and code quality
  • Experience in setting and achieving ambitious team goals aligned with company objectives
  • Strong track record of attracting, hiring, and retaining top engineering talent
  • Experience managing distributed teams across multiple locations.
  • Adaptability and resilience in a fast-paced, rapidly evolving tech environment

 

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.

 

Local Pay Range
$182,400—$247,000 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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.

View original posting on Greenhouse

What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Databricks can generally expect a structured process typical of this ATS. This commonly begins with an online application and resume screen, followed by a recruiter conversation to discuss background and role fit. Depending on the position, candidates may encounter technical assessments, take-home exercises, or case studies, particularly for engineering, data, and analytical roles. The process may include multiple stages such as hiring manager conversations, panel discussions, and team or cross-functional interviews. Response times vary and communication is typically managed through the greenhouse platform, including scheduling and status updates. Candidates should prepare to discuss relevant experience, technical skills, and role-specific scenarios, as greenhouse-based processes commonly emphasize structured evaluation criteria across candidates to support consistent, comparative hiring decisions throughout the pipeline.

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Engineering Manager - UI Platform
Databricks · Seattle, Washington
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