Staff Software Engineer - User Activation
About the role
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.
Responsibilities
- 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.
Requirements
- 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.
Qualifications
- Master’s degree in Computer Science, Engineering, or related field.
- Proven track record of delivering high-quality, scalable software solutions.
- Experience with modern web technologies and frameworks.
- Knowledge of cloud platforms and distributed systems.
- Experience with data warehousing and analytics tools.
Skills
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
- Ability to manage multiple projects and priorities simultaneously.
- Experience with Agile methodologies.
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.
Pay
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.
Schedule
Full-time.
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.