The AI-Accelerated tables team aims to automatically and intelligently configure how customers' tables are laid out and configured for best price-performance and ease-of-use. By analyzing customers' usage patterns, we can identify which tables are most important. From there, business-critical data is colocated, indexed, and cached for peak performance, while infrequently used data is archived and compressed for cost savings. And crucially, all of this happens in an open data lakehouse on an open table format - not locked away in proprietary storage.
This strategy is critical to Databricks' success. If executed well, it will have a transformative impact on the data and AI industry, wherein customers today frequently struggle with the need to perform complex configurations. Databricks is also uniquely positioned to deliver on this promise, with exabytes of data under management across 10k+ customers.
As the Product Manager on the team, you'll own the full portfolio of our AI-accelerated table offerings, including Predictive I/O, Predictive Optimization, Liquid clustering and our future facing roadmap. You'll manage their success end-to-end. You'll engage with top customers to identify where they spend the most time configuring and tuning their table. You'll set the vision for how we can apply AI to automate away this toil and partner closely with engineering to make these capabilities a reality. You'll identify and address sharp edges and roadblocks which prevent adoption. And you'll work with marketing and our field to take the capabilities to market.
The impact you will have: Drive the vision of AI-accelerated tables, making customers' data performant and easy-to-use out of the boxConduct customer research and data science to identify the largest AI optimization opportunitiesWork closely with customers to understand their data management needs and pain points.Drive uptake and adoption of AI-accelerated offerings by defining and driving OKRs, addressing adoption blockers, and iterating on capabilities to make them more compellingCollaborate with engineering to define and deliver the next generation of AI-accelerated offeringsDrive launches with the field and product marketing through blog posts, release notes, webinars and internal enablementWhat we look for: 5+ years of product management and related experience with enterprise or SaaS productsExperience with bringing new products to market and growing their adoptionExperience with conveying ideas clearly and conciselyBachelor's degree in Computer Science or similar fieldDeveloper empathy, e.g. worked in developer-facing products or similarStrong data analysis and operationalization skills (SQL & Python, rollups, building operational dashboards)Pay Range Transparency 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.
#J-18808-Ljbffr
