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Full-Time

Senior Product Manager

Datadog Autonomous Agent

Posted on 6/12/2024

Datadog

Datadog

5,001-10,000 employees

Cloud monitoring and analytics solutions provider

Data & Analytics
Enterprise Software

Compensation Overview

$187k - $240kAnnually

Senior

New York, NY, USA

Hybrid workplace.

Category
Product Management
Product Strategy
Product
Required Skills
Sales
Marketing
Requirements
  • You have a proven track record as a deeply technical product leader independently defining strategy and owning execution of a product
  • Expertise in AI/ML either as a practitioner (Data scientist) or a Product Manager or a Solutions Architect
  • You have strong customer empathy and the ability to communicate effectively on technical topics with nuance for different audiences, including executives
  • Demonstrated success in defining and shipping products in a nascent product category
  • You have a Bachelor's Degree in Computer Science or Engineering or equivalent experience
Responsibilities
  • Lead the development and execution of the roadmap for a Service Management Autonomous Agent product and service
  • Deeply understand the opportunities afforded by AI/ML advances to solve customer problems and help close the loop through autonomous agents throughout the product
  • Partner closely with customers, collecting their feedback on features, functionality and usability
  • Partner internally with all of Datadog’s product teams, including Software Delivery and Cloud Security, to understand what user workflows can be augmented or automated with the help of AI/ML capabilities
  • Understand and navigate AI/ML customer policies, legal and regulatory landscape
  • Work with a broad range of internal cross-functional teams, including sales, marketing and customer success teams, to define GTM strategy and revenue opportunities

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 health. Datadog's products work by collecting data from different sources within an organization's IT environment, allowing users to visualize and analyze this information in real-time. This helps businesses ensure their systems are running smoothly and efficiently. What sets Datadog apart from its competitors is its wide range of features that cater to different needs, such as cloud migration, DevOps practices, and IoT monitoring, all within a single platform. The company's goal is to support organizations in maintaining optimal performance and security of their IT infrastructure, regardless of their size or industry.

Company Stage

IPO

Total Funding

$147.9M

Headquarters

New York City, New York

Founded

2010

Growth & Insights
Headcount

6 month growth

13%

1 year growth

26%

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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