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
AI & Machine Learning

Compensation Overview

$135.6k - $239.9kAnnually

+ Annual Performance Bonus + Equity

Senior

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 platform that combines data lakes and data warehouses into a single architecture known as lakehouse. This platform allows organizations to efficiently manage, analyze, and gain insights from their data. It caters to a variety of users, including data engineers, data scientists, and business analysts, across industries like finance, healthcare, and technology. The platform features automated ETL processes, secure data sharing, and high-performance analytics, and it also supports machine learning and AI workloads for building and deploying models. Databricks operates on a subscription-based model, generating revenue through client subscriptions and professional services. The company's goal is to streamline data management and analytics, making it easier for organizations to leverage their data effectively.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$3.9B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

6%

1 year growth

26%

2 year growth

74%
Simplify Jobs

Simplify's Take

What believers are saying

  • The $1 billion acquisition of Tabular is likely to enhance Databricks' data management capabilities and market reach.
  • The development and launch of the DBRX generative AI model, with a $10 million investment, underscores Databricks' dedication to leading in AI technology.
  • High-profile investments from figures like Nancy Pelosi indicate strong confidence in Databricks' growth potential.

What critics are saying

  • The integration of Tabular's team and technology could face challenges, potentially disrupting operations.
  • The competitive landscape in AI and data analytics is intense, with major players like Google and Microsoft posing significant threats.

What makes Databricks unique

  • Databricks' acquisition of Tabular, founded by the creators of Apache Iceberg, strengthens its position in the open lakehouse market.
  • The launch of DBRX, an open-source LLM that outperforms GPT-3.5 and Llama 2, showcases Databricks' commitment to cutting-edge AI innovation.
  • Strategic partnerships, such as with AVEVA for industrial AI, highlight Databricks' ability to integrate and enhance diverse technological ecosystems.

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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