Synced from Greenhouse · 1h ago

Principal CRO and Web Analyst

DatadogNew York, New York, USAPosted Aug 24, 2026Fresh
Product AnalystPrincipal
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Mirrored from Datadog's own Greenhouse careers system · refreshed hourly

$153k–$204k
Compensation
450
Other open Datadog roles
1h ago
Posted
Greenhouse
Applicant system
Job descriptionReq 8139161

The Principal CRO and Web Analyst will drive the insights, measurement, and experimentation that shape Datadog’s website roadmap and improve how users discover, learn, and convert. You’ll use data to uncover opportunities, size impact, guide prioritization across high-value pages and journeys, and inform audience segmentation and personalization. This role combines analytical depth, clear storytelling, and hands-on execution across testing and optimization while shaping the experimentation culture and strategy that the broader team operates within. You’ll partner closely with Marketing, Product, and Web Engineering to deliver measurable gains in engagement and conversion.

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 website analytics, KPI frameworks, and user behavior insights to inform the website roadmap
  • Identify performance gaps using data, benchmarks, funnel analysis, and user behavior patterns
  • Translate insights into clear recommendations, prioritization frameworks, and experimentation plans
  • Define and scale Datadog’s web experimentation program, including testing strategy, methodology, and best practices
  • Improve engagement and conversion through testing, optimization, segmentation, and personalization initiatives
  • Partner with Marketing, Product, and Engineering to align experimentation with business priorities and present findings to senior leadership

Who You Are:

  • You have 10+ years of professional experience, including 6–8 years in conversion rate optimization, web analytics, experimentation, or a related field
  • You have strong analytical and problem-solving skills, with the ability to turn data into clear narratives and decisions
  • You have experience with user behavior data, funnel reporting, audience segmentation, and testing methodologies
  • You have experience with analytics and experimentation tools such as GA4, Metabase, Datadog Digital Experience tools, VWO, or similar platforms
  • You are comfortable influencing cross-functional teams and senior stakeholders, guiding prioritization and investment decisions using data
  • You bring strong attention to detail and high standards for data accuracy, instrumentation, and measurement integrity

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 & 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.

#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:
$153,000$204,000 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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What applying to Datadog usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Datadog can generally expect a process consistent with common greenhouse-based hiring workflows. This typically starts with an online application and resume screen, followed by a recruiter phone screen to discuss background and role fit. Depending on the position, candidates may encounter multiple stages such as hiring manager conversations, technical or skills-based assessments, and panel interviews with cross-functional team members. Take-home exercises or case studies may be used for certain technical or analytical roles. Response times vary and communication is often managed through automated greenhouse notifications alongside recruiter outreach. Candidates should prepare to discuss relevant experience, technical competencies, and cultural fit, as final decisions commonly involve input from multiple interviewers before an offer is extended.

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Principal CRO and Web Analyst
Datadog · New York, New York, USA
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