Sr. Product Manager, ML Production

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:With the innovations over the past year, every company is trying to figure out how to become an AI company. A pivotal part of successful AI is ensuring you have good quality data and that your model is performing as expected. To meet this need, Databricks has built a first of its kind Lakehouse Monitoring capability that helps customers (1) proactively identify and fix quality issues in their data and inference pipelines and (2) surface quality metrics in their data lake so users know if a dataset or model is reliable to develop on top of (e.g., “can I trust this data is good to build an ML model with?”). This product extends far beyond competitive products in the market and is expected to be critical to Databricks across multiple product teams.The impact you will have:You will own the monitoring 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 TransparencyDatabricks 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.Zone 2 Pay Range:

$109,500 — $194,000 USDAbout DatabricksDatabricks 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.BenefitsAt 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

this link .Our Commitment to Diversity and InclusionAt 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.ComplianceIf 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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