RDQ325R14
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.
More about the team:
A great platform needs an amazing developer experience. Our team’s mission is to deliver a best-in-class data and AI experience for data scientists, engineers and analysts. Managing runtime environments and dependencies is at the core of the developer experience and has the potential to simplify the journey for every Databricks customer.
We are looking for a strong Senior Product Manager to envision how runtime environments are defined and utilized by customers. Generative AI, LLMs and Serverless models are transforming how data scientists and ML engineers think about their runtime requirements and how libraries and dependencies are used. You will play a pivotal role in designing and implementing the next generation of tools and workflows that enable customers to handle these new scenarios. A seamless and intuitive environment management experience will empower our users to turn data into insights with unparalleled efficiency.
We have big ideas on how to empower customers in this new world shaped by AI. Come be a part of building that future.
The impact you will have:
- You will drive the product strategy and roadmap for how environments work across data and AI workloads in Databricks.
- You will help set the industry bar for how dependencies are handled in new types of AI applications.
- You will act as the voice of the customer, integrating user feedback to build developer experience improvements to environment management.
- You will boost customer adoption of new workloads, helping Databricks meet critical growth metrics.
What we look for:
- 5+ years of experience as a Product Manager working on platform products
- Experience building runtimes or developer-facing products (tools, frameworks, SDKs) with tens or hundreds of thousands of users
- Experience programming in Python; SQL nice-to-have
- Experience being a hands-on builder, must be comfortable using developer-facing products
- Passion for designing products that simplify user experience of technically complex products.
Benefits
- Medical, Dental, and Vision
- 401(k) Plan
- FSA, HSA and Commuter Benefit Plans
- Equity Awards
- Flexible Time Off
- Paid Parental Leave
- Family Planning
- Fitness Reimbursement
- Annual Career Development Fund
- Home Office/Work Headphones Reimbursement
- Employee Assistance Program (EAP)
- Business Travel Accident Insurance
- Mental Wellness Resources
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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 utilizes 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.
Zone 2 Pay Range
$109,500—$194,000 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.
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.
