Staff Product Manager, New Product - San Francisco, United States - Databricks

Databricks

Verified Company

San Francisco, United States

3 weeks ago

Posted by:

Mark Lane

beBee recruiter

Description

RDQ424R175

Our mission at Databricks is to be the generational Data and AI company.

Databricks has created a new market category of the Data Lakehouse (CIDR 2021 paper), 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.

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?

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Why Databricks?

What we look for

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 postlaunch
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: Handson experience with some of the data analytics products such as Spark, 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

Architect the product vision, strategy and roadmap for a multimillion $ revenue product line, aligning with the company's goals and priorities.
Conduct market research and user feedback to identify customer needs and pain points related to database technologies
Write clear and detailed product specifications, user stories and acceptance criteria for the database system technologies.
Partner with engineering, design, marketing and sales teams to plan, execute and launch new features and enhancements for the product line
Monitor and analyze the performance, usage and feedback of the database system, and use datadriven insights to inform product decisions and improvements.
Work with internal and external stakeholders, including senior management, investors, partners and customers, about the value proposition, benefits and status of the product.

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)

Pay Range Transparency- 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.

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