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RDQ225R442
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.
More about the team:
Databricks is on a mission to democratize data and AI so everyone within an organization is empowered to make data-driven decisions or provide personalized experiences for end users. The Mosaic AI team delivers on this mission by building the tools, infrastructure, and platform to help data scientists and software developers build AI models and GenAI applications. For example, we build AI Gateway, a centralized service for governing and managing usage of GenAI models within an organization; we also build Model Training, a managed training stack for fine-tuning GenAI models on enterprise data to perform well on specific tasks at lower cost.
At the heart of what we build is the belief that good AI comes from good data. With Databricks being a unified platform for data engineering, business intelligence, and AI, our team provides a unique opportunity to build tools and capabilities with a data-centric lens–for example, instead of building separate data monitoring and model monitoring tools, we can build a single tool that monitors both and provides users with a consistent experience. This makes the problems we are solving interesting and challenging in ways you can’t get anywhere else. And this is why building an awesome team rooted in truth seeking, first principles thinking, and customer obsession is so important to us.
Join us on the Mosaic AI team and be at the forefront of redefining AI platforms and helping enterprises build intelligence into their operations and applications. We’re seeking a dynamic and driven Product Manager who embodies an “own it” attitude, thrives on first principles thinking, and excels at influencing key stakeholders.
The impact you will have:
- You will own the product, roadmap, and business.
- You will use a mix of customer interviews, data analysis, and market research to reach conclusions and drive alignment with your stakeholders, and then design product features to address them
- You will work with our senior engineers to innovate and invent on behalf of customers, you will work with senior leaders to build sales enablement and go to market strategies, and you will work with customers to continue to understand their needs and refine our road map.
What we look for:
- 5+ years of Product Management experience
- Product managers who have demonstrated the ability to build, ship, and iterate on a product multiple times
- Naturally curious product managers who are truth-seeking
- First principles thinkers who can innovate from breaking problems down
- Customer-obsessed product managers who make customers feel heard and help the team with customer empathy
- Product managers who can quickly gain influence and collaborate with multiple stakeholders
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.
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, please visit https://www.mybenefitsnow.com/databricks.
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.
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
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