Datadog
Datadog

60 Datadog Operations Jobs Hiring Near You

Services Architect 3 - Denver

Denver, CO · On-site

$120K - $180K/yr

Datadog's Implementation Services team helps customers implement and deploy Datadog quickly. Our ... Manage the operation of implementation projects * Collaborate with other teams, including Customer ...

... s Engineering role * Able to sit up to 4 hours, traveling to and from client sites * Able to travel via auto, train or air up to 45% of the time Datadog values people from all walks of life. We ...

Datadog's Finance team partners closely with Revenue, Customer Success, Sales, and Financial Systems to support scalable growth, operational excellence, and accurate financial reporting. The Revenue ...

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.

Senior Procurement Analyst

New York, NY · On-site

$89K - $130K/yr

Datadog is seeking a highly motivated Senior Procurement Analyst with strong contracts management ... Identify and mitigate contractual, financial, and operational risks, escalating where appropriate

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 ...

Product Marketing Manager

New York, NY · On-site

$123K - $164K/yr

Develop assets, training and content that communicates the value proposition of Datadog to the sales teams and enables them to win in the industry * Work with product and marketing operations to ...

Showing results 21-40

Datadog Jobs Information

What are the key skills and qualifications needed to thrive in Operations, and why are they important?

To thrive in Operations, you need strong analytical skills, process optimization abilities, and experience in supply chain or project management, often supported by a relevant degree. Familiarity with ERP systems, workflow management tools, and certifications like Six Sigma are commonly expected. Excellent problem-solving, leadership, and communication skills help drive efficiency and foster collaboration across teams. These competencies are vital for ensuring streamlined processes, minimizing costs, and achieving organizational objectives.

What are some common challenges faced by professionals in operations roles, and how can they be effectively managed?

Professionals in operations often face challenges such as coordinating across multiple departments, adapting to fast-changing priorities, and optimizing processes under tight deadlines. Effective management of these challenges typically involves strong communication skills, proactive problem-solving, and the ability to use data to inform decisions. Building strong relationships with team members and leveraging project management tools can also help operations professionals stay organized and ensure smooth workflow. Continuous learning and adaptability are essential to thrive in this dynamic environment.

What are 'Operations' jobs?

Operations jobs focus on managing and optimizing the day-to-day activities within a business to ensure efficiency and productivity. Professionals in operations oversee processes, resources, and workflows to help organizations run smoothly and achieve their goals. Their responsibilities can range from supply chain management and logistics to process improvement and team coordination. Operations roles are essential across many industries, including manufacturing, retail, healthcare, and technology. These positions require strong organizational, problem-solving, and communication skills.

What jobs pay $3,000 a day?

High-level operations roles such as executive directors, chief operating officers, or specialized consultants in industries like finance, technology, or management can sometimes earn $3,000 or more per day, especially with extensive experience and in high-demand environments. These positions often require advanced skills, certifications, and significant responsibility, and compensation may include bonuses or profit sharing.

What is the difference between Operations vs Customer Service Representative?

AspectOperationsCustomer Service Representative
Required credentialsVaries; often includes business or management certificationsHigh school diploma or equivalent; some roles may require customer service training
Work environmentOffice settings, warehouses, or production facilitiesCall centers, retail stores, or office environments
Employer and industry usageCommon across manufacturing, logistics, and corporate sectorsCommon in retail, telecommunications, and service industries
Search and comparison intentFocuses on managing processes, logistics, and overall business operationsFocuses on assisting customers, resolving issues, and providing support

Operations roles involve managing business processes, logistics, and overall organizational efficiency, often requiring management certifications. Customer Service Representatives primarily handle customer interactions, support, and issue resolution. While both roles are essential in business operations, they differ in responsibilities, work environment, and skill requirements.

What is it like to work at Datadog?

Datadog is a fast-paced and collaborative company that prioritizes innovation and customer satisfaction, fostering a culture of experimentation and continuous improvement.

The company's engineering teams are organized around product areas, allowing for a high degree of autonomy and flexibility in project work, while also promoting cross-functional collaboration and knowledge sharing. Datadog's offices are designed to be open and welcoming, with amenities such as game rooms, fitness centers, and on-site cafes.

Working at Datadog may appeal to candidates who value a dynamic and entrepreneurial work environment, with opportunities to contribute to the development of cutting-edge monitoring and analytics tools that help organizations improve their digital infrastructure and services.
What are the most popular job types at Datadog?
    Infographic showing various Operations job openings at Datadog in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 94% Physical, 4% Hybrid, and 2% Remote job distribution.
    Senior Product Solutions Architect - Logs

    Senior Product Solutions Architect - Logs

    Datadog

    Boston, NY

    Other

    Posted 6 days ago


    Job description

    We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.

    The Logs family of products represents a strategic evolution in how organizations manage and analyze logs at scale while meeting stringent data residency, compliance, and cost requirements. The Product Solutions Architect (PSA) will work closely with Datadog customers, Logs Product team, and the CloudPrem product team to architect, implement best practices, and drive adoption of the log management suite.

    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:

    • Serve as the Product Expert on Logs, CloudPrem, and Observability Pipelines
    • Offer guidance on architecture choices, data collection, and best practices to large Enterprise customers as they adopt these Datadog services across the organization at scale
    • Design and validate hands-on, production-ready architectures spanning cloud infrastructure, Kubernetes platforms, and customer-managed environments
    • Actively identify opportunities to simplify, optimize, and standardize deployment patterns, reducing operational complexity for customers through architectural guidance and best practices.
    • Be a Trusted Advisor to Product Management by providing high quality feedback based on your field experience working closely with our Support, Partners, and Customers
    • Capture repeat customer use cases and solutions and in turn publish Reference Architectures, automation patterns, and Implementation Guides for Datadog prospect and customer consumption
    • Build world class training material, solutions briefs, blogs, and documentation to the wider Datadog field technical teams over the latest product features and capabilities
    • Collaborate with other teams at Datadog including Marketing, Sales, Community, Documentation, and Evangelism to ensure the success of the Log Management product family
    • Exercise the products you represent by building hands-on proof of concepts, small scale deployments  to validate solutions and reproduce customer environments
    • Engage deeply with customers, feeling their operational pain points and driving solutions that measurably improve reliability, scalability, and day-to-day operations

    Who You Are:

    • Someone with strong hands-on experience with tools such as Kubernetes, including cluster architecture, networking, storage, and operational best practices.
    • Someone with strong knowledge of cloud infrastructure fundamentals, including networking, compute, storage, and distributed system design.
    • Someone familiar with Security, Governance, and Compliance requirements for industry verticals
    • Someone who can dive deep into our Codebase, SDKs, and GitHub workflows to understand, debug, and influence product behavior
    • Experience with languages like Python and/or Rust, and file formats such as JSON and YAML
    • A self-starter, tech-savvy professional, who is comfortable working with bleeding edge technology and processes, even if it hasn't been well defined
    • A deep learner and a Subject Matter Expert today that has built advocacy and knowledge across multiple teams with the knowledge you possess 
    • Fluent in understanding the observability market domain, competition, technological shifts, and customer needs
    • Someone who values getting things done, taking ownership from problem definition through implementation and outcome
    • Highly detail-oriented, especially when working on architectures, documentation, and customer-facing solutions
    • A person who possesses exceptional listening and consultative skills, for both internal and external audiences
    • Experienced working with customers in high pressure situations where the solution is sometimes not obvious - caring about customer pain and motivated to solve hard problems on their behalf
    • Able to sit up to 4 hours, traveling to and from client sites 
    • Able to travel via auto, train, or air up to 40% of the time 

    Bonus Points:

    • Successful track record with 5+ years experience working as an Architect or Consultant 
    • Experience using Datadog and/or other observability tools in an SRE or DevOps capacity
    • Have recent experience deploying solutions in production environments at scale
    • Strong knowledge or experience with Splunk, Elastic, Opensearch, SumoLogic, Vector, Cribl, Quickwit

    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:

    • Best-in-breed onboarding
    • Generous global benefits
    • Intra-departmental mentor and buddy program for in-house networking
    • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
    • Continuous professional development, product training, and career pathing
    • An inclusive company culture, able to join our Community Guilds and Inclusion Talks

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