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Observability Datadog Jobs (NOW HIRING)

Datadog

Senior Product Manager - Serverless

Boston, NY · Hybrid

$119K - $158K/yr

You'll own the strategy and execution for Datadog's AWS Serverless observability offering, building experiences that provide visibility into distributed systems and simplify debugging and operations.

Palnar

Datadog Engineer@ 100% Remote Role

We are seeking a skilled Datadog Engineer to join our growing observability team. You will be responsible for configuring, managing, and optimizing Datadog for application performance monitoring (APM ...

TekDallas

Observability Consultant

Naperville, IL · On-site

Strong experience with Datadog/PrometheGrafana/Splunk and end-to-end observability (metrics, logs, traces) is required. Focus areas include reducing alert noise, improving incident response, and ...

NoBS

Observability Engineer

Boston, MA

$57.25 - $78.50/hr

NoBS Tech is a rapidly growing Datadog Premier Partner specializing in advanced observability, monitoring, and cloud solutions for clients who value innovative, resilient, and data-driven operations.

Datadog

Principal Analyst Relations Manager

Boston, MA · On-site

$158K - $210K/yr

Develop and drive the global analyst relations strategy across Datadog's observability and AI portfolio * Build and maintain trusted relationships with key analysts across firms such as Gartner ...

Datadog

Product Manager II - Model Lab

New York, NY · On-site

$155K - $190K/yr

This is a 0→1 opportunity to build a new product that will be deeply integrated into Datadog's observability platform. You will shape the product vision, validate the market, and drive execution ...

INGENworks

Senior AWS Cloud Platform Engineer

Irvine, CA · On-site

$59.75 - $80/hr

Monitoring & Observability: Datadog, CloudWatch * Experience with large-scale distributed systems and platform engineering * Exposure to cloud governance, security best practices, and operational ...

Datadog

Distinguished Architect, AI

New York, NY

$69 - $90.75/hr

You will bridge the gap between their bleeding-edge infrastructure aspirations and Datadog's technology roadmap, ensuring our platform natively solves the unique observability challenges of training ...

Palnar

Sr. DataDog Engineer@ 100% Remote Role

Qualifications, 5+ years in observability/DevOps; 3+ years with Datadog in Windows environments (IIS, SQL Server, app servers). Expertise in Datadog Agent setup, Windows Service monitoring, and ...

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Observability Datadog information

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How much do observability datadog jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for observability datadog in the United States is $17.34, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $18.03 per hour, depending on experience, location, and employer.

Is it hard to get hired at Datadog?

Getting hired for an Observability Datadog role typically requires relevant technical skills such as experience with monitoring tools, cloud platforms, and scripting. The hiring process often involves technical interviews, coding assessments, and demonstrating knowledge of observability concepts, making it competitive but achievable with proper preparation.

Who is Datadog's biggest competitor?

For a role related to Observability at Datadog, its biggest competitors include companies like New Relic, Splunk, and Dynatrace, which offer similar monitoring and analytics solutions. These competitors provide cloud-based observability tools used by IT and DevOps teams to monitor infrastructure, applications, and performance metrics.

What are the key skills and qualifications needed to thrive as an Observability Engineer specializing in Datadog, and why are they important?

To excel as an Observability Engineer with a focus on Datadog, you need a strong background in IT operations, cloud infrastructure, and monitoring concepts, often supported by relevant degrees or certifications. Familiarity with Datadog's platform, scripting languages (like Python or Bash), and integrations with cloud services (AWS, Azure, GCP) is typically required. Analytical thinking, proactive problem-solving, and the ability to collaborate across teams are vital soft skills in this role. These skills ensure effective system monitoring, rapid incident response, and ongoing performance optimization in complex environments.

Does Datadog do observability?

Datadog is a platform that provides observability solutions, including monitoring, tracing, and logging for cloud infrastructure and applications. As an Observability Datadog professional, understanding these tools and how to implement them is essential for ensuring system performance and reliability.

What are Observability Datadog roles?

Observability Datadog roles typically refer to professionals who implement, manage, and optimize observability practices using the Datadog platform. These specialists focus on monitoring application performance, infrastructure health, and ensuring real-time visibility into system operations. They configure dashboards, set alerts, and analyze logs, traces, and metrics to detect and resolve issues quickly. Their work helps organizations maintain system reliability, optimize performance, and improve incident response.

How does an Observability Datadog specialist typically collaborate with development and operations teams?

An Observability Datadog specialist works closely with both development and operations teams to ensure that applications and infrastructure are properly monitored. They often participate in sprint planning and incident response meetings, helping teams define meaningful metrics, set up dashboards, and configure alerting policies. Collaboration also includes training team members on best practices for using Datadog and troubleshooting monitoring issues together. This cross-functional role ensures that all stakeholders have visibility into system health and can respond quickly to performance or reliability concerns.

What is the average salary at Datadog?

The average salary for an Observability Datadog role varies depending on experience and location but typically ranges from $100,000 to $140,000 annually. Salaries for related positions such as cloud engineers or monitoring specialists may also include bonuses and stock options. Candidates with skills in cloud monitoring, DevOps, and experience with Datadog tools tend to earn higher compensation.

What is the difference between Observability Datadog vs Cloud Engineer?

AspectObservability DatadogCloud Engineer
Primary FocusMonitoring, analytics, and visualization of system performanceDesigning, implementing, and managing cloud infrastructure
Required SkillsMonitoring tools, scripting, data analysisCloud platforms, scripting, infrastructure as code
CertificationsDatadog certifications, cloud provider certificationsAWS, Azure, or GCP certifications
Work EnvironmentIT operations, DevOps teamsCloud infrastructure teams, DevOps

While both roles involve cloud technologies, Observability Datadog specialists focus on monitoring and analyzing system performance, whereas Cloud Engineers design and maintain cloud infrastructure. Understanding these differences helps organizations assign the right skills to each role.

Infographic showing various Observability Datadog job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $36,065 per year, or $17.3 per hour.
Senior Product Manager - Serverless

Senior Product Manager - Serverless

Datadog

Boston, NY • Hybrid

$119K - $158K/yr

Other

Posted 22 days ago

Job description

As a Senior Product Manager for Serverless at Datadog, you will define and deliver products that help developers monitor and operate serverless applications at scale. You'll own the strategy and execution for Datadog's AWS Serverless observability offering, building experiences that provide visibility into distributed systems and simplify debugging and operations. This role sits at the intersection of cloud infrastructure, developer experience, and AI-powered workflows, and is ideal for a PM who thrives in highly technical product areas. You will work cross-functionally and with external partners to shape how customers build and run modern serverless applications.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You'll Do:

  • Own and drive the roadmap for Datadog's AWS Serverless observability products, including Lambda, Fargate, and Step Functions
  • Define how developers monitor, debug, and operate serverless systems across distributed environments
  • Partner with engineering and design to deliver end-to-end product capabilities from concept through launch and iteration
  • Collaborate with AWS product teams to align roadmaps and deliver joint solutions for shared customers
  • Engage with customers to understand serverless adoption patterns and validate product direction
  • Define and track success metrics such as adoption, usage, and impact on developer workflows


Who You Are:

  • 5+ years of product management experience building technical products in areas such as cloud infrastructure, developer platforms, or observability
  • Strong understanding of distributed systems, cloud-native architectures, and modern application development practices
  • Familiarity with serverless technologies, containers, Kubernetes, or microservices environments
  • Comfortable working closely with engineers and discussing technical design, tradeoffs, and implementation details
  • Experience engaging with customers and using their feedback to inform product decisions and prioritization
  • Ability to operate in complex problem spaces and translate them into clear product direction and execution

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

  • Generous and competitive benefits package
  • New hire stock equity (RSUs) and employee stock purchase plan
  • Continuous career development and pathing opportunities
  • Employee-focused best in class onboarding
  • Internal mentor and cross-departmental buddy program
  • Friendly and inclusive workplace culture


Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

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