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Observability Datadog Jobs (NOW HIRING)

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

Technical Account Manager 2 - NYC

New York, NY · On-site

$100K - $147K/yr

TAM 2s bring deep technical expertise, refined customer skills, and consultative insight into how monitoring, observability, and DevOps practices translate to business value. At Datadog, we place ...

Datadog

Technical Account Manager 2 - Denver

Denver, CO · On-site

$100K - $147K/yr

TAM 2s bring deep technical expertise, refined customer skills, and consultative insight into how monitoring, observability, and DevOps practices translate to business value. At Datadog, we place ...

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 ...

Datadog

Distinguished Architect, AI

New York, NY · On-site

$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 ...

Datadog

Senior Internal Auditor

New York, NY · On-site

$105K - $154K/yr

Experience with Datadog or other observability tools Benefits and Growth: * Generous and competitive benefits package * New hire stock equity (RSUs) and employee stock purchase plan * Continuous ...

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How much do observability datadog jobs pay per hour?

As of Jun 8, 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.

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.

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 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 May 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 74% Physical, 6% Hybrid, and 20% Remote job distribution, with an average salary of $36,065 per year, or $17.3 per hour.
Senior Product Manager - Database AI Optimization

Senior Product Manager - Database AI Optimization

Datadog

New York, NY • On-site

$190K - $220K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 7 days ago

Job description

Databases and data stores are at the center of our applications, for legacy applications and modern AI applications alike. Yet most observability and optimization approaches lack a holistic approach or application context. Datadog has been on a mission to revolutionize how databases are operated, flipping what is often seen as a black box of complexity prone to security and performance risks, into a well oiled machine enabling our builders and businesses to move faster and smarter.
We're looking for an experienced product manager passionate about joining this mission to lead this product opportunity.
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:
  • Lead ambitious investments that rethink how customers operate and get value from their databases, diving into ambiguity, working with our customers on new models, and shipping new products and changes to existing products.
  • Develop a deep understanding of our customers and their issues, what problems are really behind those issues, and how we can improve how databases are operationalized across SRE teams, DBAs and application developers. Continuously refine your understanding of database management systems and datastores from SQL and OLTP based to NoSQL e.g. AWS RDS, PostgreSQL, SQL Server, MongoDB, MySQL, etc
  • Define, build and launch the next generation of database monitoring and optimization capabilities for our customers
  • Join a talented engineering team with a record of disrupting observability approaches to further the mission of demystifying and optimizing databases using your team's creativity, alongside your customers' problems, as a key resource.
  • Collaborate with other Product teams in Datadog to maintain and improve all Datadog products, improve the seamless integration across them, 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 database monitoring, data observability and APM features
  • Continuously evolve the product practice and the product itself with the latest technologies, including AI tools and agents

Who You Are:
  • You're comfortable using AI tools for research and building
  • You have experience building AI products and evals including manual evaluations, golden data sets, LLM as judge, to measure and improve AI product quality
  • You have 5+ years of experience as a Product Manager in cloud or developer tools, ideally including intimate experience with databases
  • You have excellent verbal and written communication skills and the willingness to present and defend your ideas to technical stakeholders and executives alike
  • You are customer focused with high quality standards for your products
  • You are passionate to work in a high growth and impact environment to build new products and scaling existing ones

Datadog values people from all walks of life. We know 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 experience, we encourage you to apply.
Benefits & Growth:
  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • Intra-departmental mentor and buddy program for in-house networking
  • An inclusive company culture, ability to join our Community Guilds
  • Access to Inclusion Talks, our Internal panel discussions
  • Free, global Spring Health benefits for employees and dependents age 6+
  • Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
The reasonably estimated yearly salary for this role at Datadog is:
$190,000-$220,000 USD
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

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