Full-Time

Staff Product Manager

Product Analytics

Confirmed live in the last 24 hours

Datadog

Datadog

5,001-10,000 employees

Cloud monitoring and analytics solutions provider

Data & Analytics
Enterprise Software

Compensation Overview

$234k - $300kAnnually

+ Variable Compensation

Senior

New York, NY, USA

Hybrid workplace.

Category
Product Analytics
Product
Required Skills
Data Science
Product Management
Requirements
  • at least 8-10+ years of product management experience
  • proven track record of growing products from 0-1
  • keen understanding of existing solutions, trends, and consolidation of the Product/Web/Digital Experience Analytics market
  • strong sense of ownership with an entrepreneurial spirit
  • bias for action and business results
  • sharp communication skills
  • willingness to present ideas to technical stakeholders and executives
  • strategic thinker with a keen eye for detail
  • passion for delivering exceptional user experiences
  • strong analytical mindset with the ability to interpret complex data and derive actionable insights
Responsibilities
  • Drive the strategic vision and roadmap for Product Analytics, with efficient positioning and go to market tactics
  • Collaborate closely with cross-functional teams including engineering, design, data science, and product
  • Collaborate with marketing teams to further push our message to the right personas, and build an effective sales motion
  • Continuously monitor product performance, analyze key metrics, and iterate on the product to optimize user experience and business impact
  • Conduct interviews with customers to improve the product and better position our solution offering
  • Act as a subject matter expert on product analytics, evangelizing its usage at Datadog, and providing guidance and mentorship to junior team members
  • Contribute to a culture of learning and collaboration across the department and broader organization

Datadog provides tools for monitoring and managing IT infrastructure in the cloud. Their services help organizations track various aspects of their operations, including application performance, security, and network activity. Datadog's products work by collecting data from different sources within an organization's IT environment, allowing users to analyze performance metrics and detect issues in real-time. This enables businesses to ensure their systems run smoothly and efficiently. Unlike many competitors, Datadog offers a wide range of monitoring solutions that cater to specific needs, such as cloud migration and IoT monitoring, all within a single platform. The company's goal is to help businesses optimize their IT operations and improve overall performance through effective monitoring and analytics.

Company Stage

IPO

Total Funding

$143.9M

Headquarters

New York City, New York

Founded

2010

Growth & Insights
Headcount

6 month growth

16%

1 year growth

36%

2 year growth

55%
Simplify Jobs

Simplify's Take

What believers are saying

  • Datadog's strategic partnerships, such as with JFrog, enhance its platform capabilities and expand its market reach.
  • The launch of new tools like Log Workspaces and Data Jobs Monitoring highlights Datadog's focus on improving user experience and operational efficiency.
  • Significant investments from entities like Riverview Trust Co and participation in funding rounds for AI startups indicate strong financial backing and growth potential.

What critics are saying

  • The competitive landscape in cloud monitoring and analytics is intense, with major players like AWS and Google Cloud posing significant threats.
  • Frequent introduction of new features may lead to complexity and potential integration issues for existing users.

What makes Datadog unique

  • Datadog's comprehensive suite of monitoring tools, including APM, security monitoring, and IoT monitoring, sets it apart from competitors who may offer more limited solutions.
  • Their scalable subscription-based pricing model allows them to cater to both small businesses and large enterprises, providing flexibility that many competitors lack.
  • The recent introduction of features like Live Debugger and Kubernetes Autoscaling demonstrates Datadog's commitment to continuous innovation and addressing real-time operational challenges.

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