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.
In this role, you will work closely with leaders across the company, within engineering, as well as with product management, field engineering, recruiting and HR. You will lead critical initiatives that enhance developer productivity and drive innovation in the developer platform space. You will be at the forefront of integrating AI tools into the developer workflow, shaping the future of AI-assisted development.
The impact you will have:
Solve real business needs at a large scale by applying your software engineering
Ensure consistent delivery against milestones and strong alignment with the field working "two-in-a-box" with product leadership
Evolve organizational structure to align with long term initiatives, build strong "5 ingredient" teams with good comms architecture
Manage technical debt, including long term technical architecture decisions and balance product roadmap
Leading and participating in technical, product, and design discussions
Building, managing, and operating a highly scalable services in the cloud
Growing leaders on the team by providing coaching, mentorship, and growth opportunities
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Partnering with other engineering and product leaders on planning, prioritization and staffing
Creating a culture of excellence on the team while leading with empathy
What we look for:
15+ years of industry experience building and supporting large-scale distributed systems
Building, growing, and managing high-performance teams
Ability to attract and hire engineers who meet the Databricks hiring principles
Existing experience building and running cloud platforms -or- demonstrated ability to quickly learn new concepts in the SaaS space (e.g technical background and fast learner).
Experience working cross-functionality with product management and directly with customers; ability to deeply understand product and customer personas.
BS in Computer Science or Masters or PhD
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 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.
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