Staff Software Engineer - User Activation

Databricks

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San Francisco, California First seen 3 weeks ago Last seen 3 hours, 35 minutes ago Greenhouse

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Job Description

AI Summary

• Staff-level technical leadership role guiding a ~20 engineer team on customer onboarding, workspace experiences, and product-led growth initiatives at Databricks • Requires 15+ years software engineering experience with 5+ years managing managers, plus expertise in front-end/full-stack development and scalable SaaS platforms • Drive architectural decisions and hands-on full-stack development for seamless, performant user flows across cloud platforms (AWS, Azure, GCP) • Collaborate cross-functionally with product, design, and infrastructure teams to align technical strategy with company growth and customer adoption goals • Join a founder-led, customer-obsessed company building world-class data and AI infrastructure with high-impact, high-visibility work that directly shapes company growth

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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 Staff Engineer on the User Activation team, you will play a critical role in driving the technical vision, architecture, and execution for horizontal product experiences that accelerate customer adoption and growth. Sitting at the entry point for all Databricks customers, you will help guide a team of ~20 software engineers to create seamless onboarding flows, intuitive workspace experiences, and partner integrations that power Databricks expansion.

The impact you'll have:

Define and drive the strategy for customer onboarding, workspace experience, account management, and other horizontal product experiences.
Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive product-led growth.
Lead architectural decisions to ensure performance, reliability, and simplicity across core user flows.
Hands-on full-stack software development to create dynamic, user-centric experiences.
Drive best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations.
Collaborate cross-functionally with teams developing vertical product experiences (Lakehouse Platform, SQL Warehouse, AI/BI Dashboards) and infrastructure teams to ensure seamless integration and innovation.

What we look for:

15+ years of software engineering experience, with a strong track record of technical leadership and impact.
5+ years of engineering management experience, including managing managers.
Expertise in Front End or Full Stack development.
Experience designing and building scalable SaaS platforms, onboarding flows, or customer growth-focused product experiences.
Expertise in distributed systems, cloud platforms (AWS, Azure, GCP), and modern web application architectures.
Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company growth objectives.
Passion for the data intelligence space.

Why Join us?

Work on high-impact, high-visibility initiatives that directly contribute to Databricks' growth trajectory.
Lead and mentor a talented team of engineers solving challenging, customer-centric problems.
Drive innovation in a fast-paced, data-driven environment where your work shapes the future of the company.

If you are passionate about building seamless, scalable experiences that fuel product-led growth, we would love to hear from you!

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

$192,000—$260,000 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.

Skills

aws go sql

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Job Information

Company:
Databricks
Location:
San Francisco, California
Job Type:
Full-Time
Experience Level:
Executive
Source:
Greenhouse
Status:
Active

Activity Score

66 /100

Likely Active (66)

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