Full-Time

Group Product Manager

Network Monitoring

Confirmed live in the last 24 hours

Datadog

Datadog

5,001-10,000 employees

Cloud monitoring and analytics solutions provider

Compensation Overview

$234k - $300k/yr

Senior, Expert

Company Historically Provides H1B Sponsorship

New York, NY, USA

Category
Technical Product Management
Product Management
Product
Required Skills
Product Management
Connection
Connection
Connection
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Requirements
  • 7+ years in B2B SaaS Product Management, ideally with a developer-focused product
  • 2+ years managing a team of product managers
  • Proven experience hiring, mentoring, and developing product managers or engineers
  • Strong ability to assess market opportunities and implement strategies to accelerate business growth
  • A deep technical background that enables you to build trust with highly technical customers, engineers, and product managers
  • Experience collaborating with designers and engineers to launch and iterate on user-facing SaaS features, particularly admin or configuration tools
  • A background as a software engineer or product manager for developer tools, with a deep understanding of the development process and what resonates with developers
  • Success leading complex, cross-team initiatives and delivering features that span multiple products
Responsibilities
  • Lead a team of product managers to drive the growth of Datadog’s Network Monitoring products
  • Expand the Network Monitoring suite to meet new and evolving customer requirements
  • Analyze the network monitoring market and execute strategies to address its demands
  • Collaborate with Design to enhance the in-app user experience, ensuring it meets the needs of various user personas
  • Define and track success metrics for the Network Monitoring business
  • Partner with other Datadog product teams and customers to identify and prioritize opportunities for cross-product network integrations
  • Work with Marketing to educate Sales, Customer Success, Solutions, and Support teams on Datadog’s comprehensive network monitoring solutions

Datadog provides tools for monitoring and managing IT infrastructure in the cloud. Their services help organizations across various industries, such as finance, healthcare, and technology, to ensure their IT systems run smoothly. Datadog's products include application performance monitoring, security monitoring, network monitoring, and log management, among others. These tools work by collecting data from different parts of an organization's IT environment, allowing users to analyze performance, detect issues, and optimize operations in real-time. Unlike many competitors, Datadog offers a subscription-based model that scales with the size of the client's operations, making it accessible for both small businesses and large enterprises. The company's goal is to provide comprehensive monitoring solutions that enhance the reliability and efficiency of IT systems.

Company Size

5,001-10,000

Company Stage

IPO

Headquarters

New York City, New York

Founded

2010

Simplify Jobs

Simplify's Take

What believers are saying

  • Increased demand for AI-driven cloud security boosts Datadog's revenue forecasts.
  • Acquisition of Eppo enhances Datadog's capabilities in the experimentation sector.
  • Recognition as a leader in AIOps strengthens Datadog's position in automated IT operations.

What critics are saying

  • Increased competition from startups could erode Datadog's market share.
  • Rapid technological advancements may outpace Datadog's current capabilities.
  • Integration of acquired companies may lead to operational inefficiencies.

What makes Datadog unique

  • Datadog integrates data from servers, containers, and databases for full-stack observability.
  • It offers a comprehensive suite of tools for IT infrastructure monitoring and management.
  • Datadog's scalable pricing model caters to both small businesses and large enterprises.

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Benefits

Health Insurance

Dental Insurance

Mental Health Support

401(k) Retirement Plan

401(k) Company Match

Company Equity

Employee Stock Purchase Plan

Professional Development Budget

Hybrid Work Options

Flexible Work Hours

Paid Vacation

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

0%

2 year growth

-2%
The Star
May 6th, 2025
Datadog lifts annual revenue forecast on AI-driven cloud security demand

FILE PHOTO: A logo for Datadog is seen during the KubeCon + CloudNativeCon Europe hosted by the Cloud Native Computing Foundation (CNCF) in Paris, France, March 20, 2024.

MRWeb
May 6th, 2025
Datadog Buy Boosts Product and UX Analytics Offer

Cloud application monitoring and security specialist Datadog has announced the acquisition of Eppo, an experimentation platform which will be integrated with its new parent's existing Product Analytics suite.

Statsig
May 4th, 2025
Datadog Acquires Eppo for $220M

Datadog has acquired Eppo for $220 million, marking a significant move into the experimentation sector. Eppo, known for advancing modern experimentation over the past four years, joins Datadog, highlighting the importance of experimentation in the modern development stack and the trend of consolidating point solutions into comprehensive product development platforms. This acquisition underscores the growing significance of experimentation in tech development.

DevOps Digest
Apr 29th, 2025
Only a Fraction of Critical Vulnerabilities Are Worth Prioritizing

Only a fraction of critical vulnerabilities are truly worth prioritizing, according to the State of DevSecOps 2025 from Datadog.

Yahoo Finance
Apr 23rd, 2025
Datadog Brings Observability to Data Teams by Acquiring Metaplane

The acquisition will enable data engineers to proactively take action on data observability insights New York, New York--(Newsfile Corp. - April 23, 2025) - Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today announced it has acquired Metaplane, an end-to-end data observability platform that provides advanced machine learning-powered monitoring and column-level lineage to prevent, detect and resolve data quality issues across a company's entire data s