Full-Time

Staff IT Product Manager

Analytics

Confirmed live in the last 24 hours

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$135.6k - $239.9kAnnually

+ Annual Performance Bonus + Equity

Senior, Expert

Mountain View, CA, USA

Category
Product Management
Product Analytics
Product
Required Skills
Data Science
Product Management
Apache Spark
SCRUM
Data Analysis
Requirements
  • Bachelor's degree in Computer Science or related field and 8+ years of relevant product management experience; 6 years with relevant master’s degree
  • Strong understanding of big data technologies such as Spark etc. and related data products
  • Experience in launching analytics products for internal and external customers for driving efficiency and insights
  • Strong expertise in developing technical roadmaps and prototypes, trying out new technologies and collaborating with a global set of team members
  • Strong data and metrics skills to backup assumptions, recommendations and drive actions
  • Knowledge of agile methodologies and be able to operate as a scrum master
  • Strong communication skills across all levels and personas within the company
Responsibilities
  • You will be responsible for defining the product vision and strategy for end-to-end data, analytics and AI products.
  • You will work closely with cross-functional teams to identify business opportunities and define product requirements.
  • You will be able to get hands-on with the product to build your product sense on the features and the gaps.
  • You will build prototypes for your end users to help them understand the value of the product.
  • You will work closely with engineering teams to ensure timely launch of high-quality data products while also working with business teams to drive adoption of these products.
  • You will step in as an analyst to quickly analyze the opportunities of data products, to build measurement frameworks for your products and to quantify the business impact.

Databricks provides a unified platform that combines data lakes and data warehouses, known as lakehouse architecture, allowing organizations to manage, analyze, and gain insights from their data effectively. The platform features automated ETL processes, secure data sharing, and high-performance analytics, making it suitable for data engineers, data scientists, and business analysts across various industries like finance, healthcare, and technology. Unlike its competitors, Databricks focuses on integrating machine learning and AI workloads, enabling users to build and deploy models at scale. The company's goal is to streamline data management and analytics through a subscription-based service, ensuring clients can efficiently access and utilize their data.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$13.6B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

9%

1 year growth

38%

2 year growth

79%
Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $10 billion for AI product development and global expansion in 2023.
  • The company has over 500 customers with $1 million+ annual run rates, indicating strong market presence.
  • Databricks' expansion into Saudi Arabia aligns with Vision 2030, enhancing its Middle East presence.

What critics are saying

  • Increased competition from Snowflake could impact Databricks' market share in the lakehouse sector.
  • Integration challenges with acquisitions like Tabular may disrupt operations and delay product rollouts.
  • Expansion into new markets like Saudi Arabia may expose Databricks to geopolitical and regulatory risks.

What makes Databricks unique

  • Databricks offers a unified platform combining data lakes and warehouses, known as lakehouse architecture.
  • The platform supports collaborative data science and machine learning workflows, enhancing team productivity.
  • Databricks integrates seamlessly with various cloud services, facilitating efficient data management and analysis.

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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