What is the type of contract for this position?

The contract for this position is a Full-time contract

What's the salary range for the Sr. Product Manager, PySpark position?

The suggested salary for this position is $167,300-$215,000*

Is telecommuting possible for this position?

No, telecommuting is not possible for this position

Sr. Product Manager, PySpark job at Databricks

RDQ225R413

You will be the Product Manager for PySpark. PySpark is the Python API for Apache Spark, the world’s most popular data and ML framework! The PySpark team works at the intersection of Open Source Spark and the Databricks Runtime. As the Product Manager of PySpark, you will develop a deep understanding of PySpark and gather requirements from customers. You will launch features and will engage with the Spark community and our Developer Relations team. You will impact how Open Source Spark users and Databricks customers process petabytes of data every day and make it simpler for them to draw value from their data.

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:

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
Drive the prioritization and development of features, measurably making it simpler and more cost effective for customers to govern and process petabytes of data.

What we look for:

5+ years of product management and related experience with enterprise or SaaS products
Bachelor’s degree in Computer Science or similar field
Experience in Product Management (inbound, outbound, cross-functional processes)
Developer empathy, e.g. worked in developer-facing products or similar
Technical skills incl. Python
Strong data analysis and operationalization skills (SQL & Python, rollups, building operational dashboards)

Benefits

Medical, Dental, and Vision
401(k) Plan
FSA, HSA and Commuter Benefit Plans
Equity Awards
Flexible Time Off
Paid Parental Leave
Family Planning
Fitness Reimbursement
Annual Career Development Fund
Home Office/Work Headphones Reimbursement
Employee Assistance Program (EAP)
Business Travel Accident Insurance
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.

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. 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.

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Sr. Product Manager, PySpark

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