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Full-Time

Senior Product Manager

Data Observability

Confirmed live in the last 24 hours

Datadog

Datadog

5,001-10,000 employees

Cloud monitoring and analytics solutions provider

Data & Analytics
Consulting
Enterprise Software

Compensation Overview

$187k - $240kAnnually

+ Equity + Variable Compensation

Mid, Senior

New York, NY, USA

Category
Product Management
Product
Required Skills
Sales
Communications
BigQuery
Marketing
Data Analysis
Requirements
  • 3+ years of experience as a Product Manager (ideally working on an analytics or developer focused SaaS product)
  • either worked as a data engineer previously or possess a deep interest, understanding and knowledge in data engineering
  • excellent verbal and written communication skills and the willingness to present and defend your ideas to technical stakeholders and executives alike
  • customer focused with high quality standards for your products
  • passionate to work in a high growth and impact environment to build new products and scaling existing ones
Responsibilities
  • Develop a deep understanding of data platforms and data engineering teams - their practices, problems, and use cases. Continuously refine your understanding of the evolving data stack and how customers use these to solve which problems, and what associated new problems come with that e.g. Spark, Kafka, DBT, Airflow, Databricks, Snowflake, ETL, BigQuery, Redshift
  • Co-define and build the next generation of data observability features with an amazing engineering and design team
  • Collaborate with other Product teams in Datadog to maintain and improve Datadog products correlation and help customers identify incidents root cause and navigate through telemetry faster
  • Partner with marketing and cross functional teams including sales, customer success and support teams, to define Go-To-Market plans and strategy for data observability features

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

17%

2 year growth

46%
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.