Engineering Manager - UI Platform

Databricks is hiring an Engineering Manager - UI Platform in Seattle, United States. It pays $182k-$247k a year and Level rates it ; you can apply on Databricks.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
Level classes it as a senior role.
Databricks has 922 other open roles on Level.

AI in this role

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.

How we rate this

Engineering Manager - UI Platform at Databricks rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.