What are the responsibilities and job description for the Senior Staff Product Manager, New Product position at Databricks Inc.?
Our mission at Databricks is to be the generational Data and AI company. Databricks has created a new market category of the Data Lakehouse, an open platform that unifies data warehousing, ELT, advanced analytics, and AI. The Lakehouse architecture addresses several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support.
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This is a unique opportunity to spearhead the inception of an innovative product line and have a huge impact on the entire lakehouse ecosystem. We are looking for a seasoned product visionary who can set the strategic direction and rally multiple stakeholders to actualize an unmatched multi-cloud lakehouse. Intrigued? Let’s chat!
What is it like to be a PM at Databricks?
- 7 years of product management experience
- Experience with crafting and building lucrative products with direct revenue from conception to launch
- Experience in recognizing customer needs, creating an encapsulating product vision, translating requirements to product specifications, driving alignment with stakeholders, building and launching products, and driving adoption post-launch
- Strong bias to ship products by understanding the most critical aspects to make the product successful
- Familiarity with basics of databases such as data structures and algorithms, row and columnar stores, networking, query optimization, and execution.
- Bachelor's Degree in Computer Science or a related field
- Nice to have : Hands-on experience with some of the data analytics products such as Postgres, MySQL, Oracle Exadata, Teradata, Netezza, Greenplum, Amazon S3, Redshift, Athena, Glue, Glacier, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS), Delta Lake, Data Lakes, Google BigQuery, Azure Synapse, Snowflake, Apache Hudi, Apache Iceberg
Responsibilities
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 : $135,700 — $240,000 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.
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.
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Salary : $135,700 - $240,000
