Companies are investing billions of dollars into developing and deploying AI and the data platforms that enable it. But do they know what is happening?
As the Product Manager for AI Observability, you will own the roadmap for how we enable our customers to understand how their data and AI is working for them. Enable some of the world's biggest companies to conduct their DevOps, FinOps, SecOps and AIOps jobs. Develop a deep understanding of modern cloud infrastructure, gather requirements from customers who refine petabytes of data every day and deliver features that reduce the total cost of ownership.
This role requires coordinating all product activities from vision to implementation, including engaging customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.
The impact you will have: Make it incredibly simple for customers to answer questions about their Databricks environment by providing a reliable and timely interface for observability.Drive the roadmap by working with customers to understand their highest priority challenges and what datasets will unblock it.Increase adoption by removing friction points however possible - integrations, partnerships, sample code, etc.Collaborate with a wide range of Data and AI Product Managers at Databricks in two ways: 1) make it easy for them to surface important information about their features to customers, and 2) work to use their data and AI features to make it easier for customers to consume observability data.Drive integration with popular tools and services in the broader data warehousing ecosystem.Drive launches with product marketing through blog posts, release notes, webinars.Define and measure OKRs for your products.Improve the efficiency of customer workloads by improving the prioritization and development of features, measurably reducing the cost and time needed for operating ETL and machine learning workflows.Help Databricks gain the trust of CFOs and finance teams who want to ensure their dollars are being used wisely.What we look for: Product Management experience with a passion for improving user experience.A knack for conveying ideas simply in written form.The ability to lead customer conversations, write PRDs, determine success metrics, prioritize features, guide engineering and design work.Experience working with large enterprises including Fortune 500.Familiarity with cloud platforms, e.g. AWS, Azure, GCP.Some data analysis skills (SQL or Python, in-product behavior analysis in Google Analytics, Heap or similar products).Work well across multiple teams in the company.Bachelor's degree in Computer Science or similar technical experience.Bring deep insights about the Databricks admin persona to the engineering and leadership teams by working closely with our customers and field.What is it like to be a PM at Databricks? 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.
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 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.
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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