Job description

P-925 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 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.

Requirements

Must-haves

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.
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!
Our Commitment to Diversity and Inclusion

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aisqlawsazuregcp

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Vision