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
Enterprise Software

Compensation Overview

$187k - $240kAnnually

Mid, Senior

New York, NY, USA

Hybrid workplace; in-office presence required.

Category
Product Management
Product Research
Product Strategy
Product
Required Skills
Redshift
Airflow
Product Management
BigQuery
Apache Spark
Apache Kafka
Databricks
Snowflake
Requirements
  • 3+ years of experience as a Product Manager (ideally working on an analytics or developer focused SaaS product)
  • Experience or deep interest, understanding and knowledge in data engineering
  • Excellent verbal and written communication skills
  • Willingness to present and defend ideas to technical stakeholders and executives
  • Customer focused with high quality standards for products
  • Passionate to work in a high growth and impact environment to build new products and scale 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 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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