Magnet.me - Het slimme netwerk waar studenten en professionals hun stage of baan vinden.
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As a Staff Product Manager - Technical, you will work closely with product managers, engineering teams, and technical field organizations to ensure the features we design and ship deliver outstanding user experiences.
Depending on your background, you will focus on one of two critical product areas:
You will help shape our transactional database capabilities to meet the performance, reliability, and scalability requirements of modern applications and AI agents.
You will help ensure data assets are governed effectively, enabling controlled access, compliance, and visibility across the organization. This includes enabling governed access for AI-driven use cases (e.g. agent-based access via MCP or similar technologies).
This role requires you to deeply understand both functional and non-functional requirements, such as performance, scalability, security, and compliance and how customers meet these requirements today. You will evaluate how these workloads are implemented on the Databricks Data Intelligence Platform and identify opportunities to improve the product experience.
You will act as a bridge between technical field teams and product and engineering. Insights from customer PoCs, benchmarks, and real-world implementations will directly inform product decisions. You will also help ensure that product improvements are clearly communicated back to the field.
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.
Founded by the original creators of Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to…
Founded by the original creators of Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA and Battery Ventures, among others, has a global customer base that includes Viacom, Shell, and HP. For more information, visit www.databricks.com.
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