RDQ425R27

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 box
• Conduct customer research and data science to identify the largest AI optimization opportunities 
• Work 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 compelling
• Collaborate with engineering to define and deliver the next generation of AI-accelerated offerings
• Drive launches with the field and product marketing through blog posts, release notes, webinars and internal enablement

What we look for:

• 5+ years of product management and related experience with enterprise or SaaS products
• Experience with bringing new products to market and growing their adoption
• Experience with conveying ideas clearly and concisely
• Bachelor’s degree in Computer Science or similar field
• Developer empathy, e.g. worked in developer-facing products or similar
• Strong data analysis and operationalization skills (SQL & Python, rollups, building operational dashboards)

Benefits

• Comprehensive health coverage including medical, dental, and vision
• 401(k) Plan
• Equity awards
• Flexible time off
• Paid parental leave
• Family Planning
• Gym reimbursement
• Annual personal development fund
• Employee Assistance Program (EAP)
• 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.

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.