Full-Time

Staff Product Manager

Disaster Recovery

Posted on 6/18/2024

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$147.5k - $260.9kAnnually

+ Annual Performance Bonus + Equity

Senior, Expert

San Francisco, CA, USA

Category
Product Management
Product Research
Product
Required Skills
Redshift
MySQL
Data Structures & Algorithms
Product Management
Postgres
Snowflake
Requirements
  • 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
  • Architect the product vision, strategy and roadmap for a multi-million $ 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 data-driven 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.

Databricks provides a platform that combines the features of data lakes and data warehouses, referred to as lakehouse architecture. This platform allows organizations to efficiently manage, analyze, and gain insights from their data. It caters to a diverse clientele, including data engineers, data scientists, and business analysts in sectors like finance, healthcare, and technology. Databricks streamlines data ingestion, management, and analysis through automated ETL processes, secure data sharing, and high-performance analytics. Additionally, it supports machine learning and AI workloads, enabling users to build and deploy models at scale. The company operates on a subscription-based model, generating revenue from platform access and professional services. The goal of Databricks is to empower organizations to leverage their data effectively for better decision-making.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$13.6B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

0%

1 year growth

3%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $10 billion, valuing the company at $62 billion in 2023.
  • The company plans to expand globally, including into Saudi Arabia, enhancing market presence.
  • Growing demand for real-time analytics boosts Databricks' lakehouse architecture adoption.

What critics are saying

  • Increased competition from Snowflake threatens Databricks' market share.
  • Rapid AI advancements could render Databricks' offerings obsolete without innovation.
  • Regulatory scrutiny over data privacy may impact Databricks' operations in new regions.

What makes Databricks unique

  • Databricks offers a unique lakehouse architecture combining data lakes and warehouses.
  • The platform supports seamless integration with various cloud services for data management.
  • Databricks provides automated ETL processes and high-performance analytics capabilities.

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Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave

INACTIVE