Sr. Product Manager, Databricks SaaS San Francisco, California at Databricks Inc.

Databricks mission is to democratize Data and AI. To do that, it has to be simple for anyone, regardless of their role or prior knowledge with cloud infrastructure, to be able to sign up for and start using Databricks. As part of the Databricks SaaS team, you’ll help build the simpler version of Databricks that can be used by anyone.

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 cross-functional teams (both pre- and post-launch) to ensure product success.

The impact you will have:

• Grow Databricks “TAM” and dramatically increase the number of customers that Databricks has.
• Own the end-to-end product management process.
• Gather customer requirements, design features and collaborate with engineering to deliver a polished market-ready product.
• Drive launches with product marketing through blog posts, release notes, webinars.
• Define and measure OKRs for your products.

What we look for:

• 5+ years of product management and related experience with enterprise or SaaS products.
• Educational or professional background in computer science or related engineering fields.
• Ability to partner with senior technical leaders from Engineering, while going deep on technical concepts.
• Track record of delivering products with cross-functional teams common to enterprise software industry (field engineering, sales, marketing, partnerships, etc.).
• Analytical skills to make data-driven decisions (e.g. analyze product usage).
• Excellent communication skills to clearly and concisely communicate complex topics to diverse stakeholders (engineers, customers, etc.) in written and verbal form.
• Strong data analysis and operationalization skills (SQL, rollups, building operational dashboards).
• Bonus: experience working on product-led growth, anti-abuse efforts, or any fast-growing SaaS or consumer product.
• Bonus: Solid understanding of cloud infrastructure (AWS, Azure).

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.

Zone 1 Pay Range: $115,400 — $204,200 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.