RDQ427R463
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.
Genie One is building the AI coworker for business users: a trusted, governed way to ask questions of enterprise data, explore insights, and take action in the flow of work. Our team brings that experience to users wherever they are—across the web, mobile, and desktop applications—so a field employee, executive, or knowledge worker can move from question to insight without being constrained by a browser or a desk.
As a Staff Software Engineer on the Genie One Mobile & Desktop team, you will define and deliver the technical foundations for this multi-surface experience. You will work at the intersection of Web UI, Mobile, Desktop, shared frontend infrastructure, and enterprise-grade authentication and governance. This is an opportunity to shape a product and an architecture that are still evolving rapidly: deciding what should be shared, what should be platform-specific, and how to keep the whole system coherent as new capabilities arrive.
The impact you will have- Set the technical direction for Genie One across web, native mobile, and desktop.
- Lead the delivery of customer-facing experiences on iOS, Android, macOS, and Windows, balancing web feature parity with native capabilities such as notifications, background activity, multi-window workflows, deep links, and local-file interactions.
- Shape and execute the long-term product and engineering strategy for Genie One Mobile & Desktop.
- Build reusable cross-surface primitives, contracts, and patterns with shared product capabilities
- Make the hybrid codebase easier to evolve by improving boundaries between web views, native shells, platform APIs, shared services, authentication, session management, and client-side state.
- Raise the bar for quality and operational excellence for Mobile & Desktop: testing, release automation, telemetry, performance, security
- Multiply team through technical leadership, mentoring, and hands-on contributions to the most important problems.
- 8+ years of software engineering experience and a track record of shipping and operating customer-facing products at scale.
- Staff-level technical leadership: setting direction across teams, making durable architecture decisions, and driving complex projects from definition through adoption.
- A hybrid product background spanning web UI, mobile, desktop, or shared frontend platforms—with the ability to drive across all of them.
- Strong experience with JavaScript or TypeScript and modern web frameworks such as React, plus hands-on experience with mobile or desktop application development.
- The ability to navigate and improve a dynamic codebase spanning shared web code, React Native or native modules, desktop shells, webviews, backend APIs, and CI/CD.
- Experience building secure, reliable products involving authentication, session management, enterprise networking, permissions, sensitive data, and enterprise device/application management such as Mobile Device Management (MDM) and Mobile Application Management (MAM).
- A customer-focused, bias-to-action mindset and excellent communication skills. You make pragmatic trade-offs, learn quickly, and collaborate effectively across engineering, product, design, and security.
You do not need to be an expert in every framework or operating system. You do need to be comfortable working across layers and keeping interconnected web, mobile, and desktop experiences coherent as the product evolves.
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.
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.
Databricks San Francisco, California, USA Office
160 Spear Street, San Francisco, CA, United States, 94105
Databricks Mountain View, California, USA Office
351 E Evelyn Ave Mountain View, CA USA, Mountain View, United States, 94041
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