Datadog
Datadog

60 Datadog Data Jobs Hiring Near You

Product Manager II - Model Lab

New York, NY · On-site

$155K - $190K/yr

... 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 ...

Staff Software Engineer

New York, NY · On-site

$234K - $300K/yr

About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale-trillions of data ...

... 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 ...

... 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 ...

... data, AI, code and cloud security programs, and growing Datadog into a security industry leader. You Will: * Run and grow multiple product lines to meet revenue and business targets with the goal of ...

... 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 ...

People Business Partner - NYC

New York, NY · On-site

$120K - $175K/yr

... 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 ...

Showing results 41-60

Datadog Jobs Information

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

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 Data 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.
    Partner Marketing Manager, Cloud - NAMER

    Partner Marketing Manager, Cloud - NAMER

    Datadog

    New York, NY • On-site

    $96K - $128K/yr

    Full-time

    Medical, Dental, Retirement, PTO

    Posted 22 days ago


    Job description

    Datadog is seeking a Cloud Partner Marketing Manager to drive the execution of partner marketing initiatives across our cloud ecosystem in NAMER, including AWS, Google Cloud, and Microsoft Azure. This role will focus on delivering joint campaigns with strategic cloud partners, shaping regional go-to-market plans, strengthening partner alignment, and managing the operational rigor required to scale programs effectively.
    This is a highly execution-focused role suited for someone who thrives in fast-paced environments, is deeply familiar with cloud and technology ecosystems, and can translate strategy into measurable pipeline impact.
    What You'll Do:
    • Execute joint marketing campaigns with cloud partners across NAMER, aligned to pipeline and revenue goals
    • Manage campaign operations end-to-end, including planning, execution, tracking, and reporting
    • Regionalize and execute global cloud GTM strategies across key products, industries, and segments
    • Partner closely with Sales, Partner Sales Managers, Field Marketing, and Product Marketing to drive integrated programs
    • Identify opportunities to leverage partners to accelerate deals and drive net-new pipeline
    • Oversee partner funding (e.g., MDF, credits) to ensure full utilization and measurable ROI
    • Maintain campaign infrastructure and reporting (e.g., tracking tools, dashboards, partner portals)
    • Continuously optimize programs based on performance data and regional needs

    Who You Are:
    • Bachelor's degree required
    • You have 4-6 years of Marketing experience
    • Experienced in B2B marketing within cloud, SaaS, or enterprise technology environments
    • Comfortable working across major cloud ecosystems (AWS, Google Cloud, Microsoft Azure) and navigating partner-led go-to-market motions
    • Highly organized with strong attention to detail and ability to manage multiple campaigns simultaneously
    • Data-driven, with experience measuring campaign performance and tying efforts to pipeline outcomes
    • Collaborative and effective at working cross-functionally with sales, marketing, and partner teams
    • Proactive and execution-oriented, with a bias toward action and ownership

    Benefits and Growth:
    • High earning potential tied to performance
    • New hire stock equity (RSU) 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, opportunity to join our Community Guilds
    • Generous global benefits

    Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
    About Datadog:
    Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
    #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:
    $96,000-$128,000 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.