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Contentsquare Jobs (NOW HIRING)

Austin Capital Bank

Product Manager

Austin, TX · On-site

$100K - $150K/yr

Use data to drive decisions -- pull and interpret behavioral analytics from platforms like Heap and Contentsquare, write SQL queries when needed, and design A/B experiments to validate hypotheses ...

Austin Capital Bank

Product Manager

Austin, TX · On-site

$100K - $150K/yr

Use data to drive decisions - pull and interpret behavioral analytics from platforms like Heap and Contentsquare, write SQL queries when needed, and design A/B experiments to validate hypotheses ...

Zenni Optical

Research & Insights Analyst

Novato, CA · Remote

$300/day

Experience with digital analytics platforms (e.g., ContentSquare, Google Analytics) * Bay Area-based candidates are preferred! U.S. Perks & Benefits: * Annual bonus program * 100% employer-paid ...

Mixpanel

Manager, Solutions Engineering

New York, NY · Hybrid

Direct, hands-on experience with Mixpanel or other product analytics tools like Amplitude, Pendo, or Contentsquare. * Strong familiarity with the modern data stack, including tools like Snowflake ...

Curology

Paid Search Ads Manager

Utilize tools such as GA4, GTM, Amplitude, and Contentsquare to analyze user behavior and understand the full customer journey from impression through conversion * Leverage funnel analysis and on ...

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All JobsContentsquare Jobs

Contentsquare information

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

To thrive as a Contentsquare Analyst, you need strong analytical skills, a background in digital marketing or UX, and experience with web analytics platforms. Familiarity with Contentsquare’s analytics platform, as well as tools like Google Analytics and tag management systems, is typically required. Exceptional attention to detail, problem-solving abilities, and effective communication skills help you interpret data and convey insights to stakeholders. These competencies enable you to drive data-informed decisions that enhance user experiences and optimize website performance.

What is the difference between Contentsquare vs Data Analyst?

CriteriaContentsquareData Analyst
Required CredentialsExperience with digital analytics tools, UX research, and data visualizationDegree in statistics, mathematics, or related field; proficiency in SQL, Excel, and data analysis tools
Work EnvironmentDigital marketing, UX, and product teams focusing on user behavior analysisBusiness intelligence, finance, or marketing teams analyzing data to inform decisions
Employer & Industry UsageUsed by e-commerce, SaaS, and digital companies for user experience optimizationUsed across various industries for data-driven decision making and reporting
Common Search & Comparison IntentUnderstanding role differences, skills, and tools usedComparing job responsibilities, skills, and career paths

Contentsquare specialists focus on digital experience analytics and UX insights, while Data Analysts interpret data to support business decisions across industries. Both roles require analytical skills but differ in tools, focus, and work environment.

What are some common challenges faced by Contentsquare analysts when interpreting user experience data?

Contentsquare analysts often encounter challenges such as distinguishing between correlation and causation in user behavior, managing large volumes of complex data, and translating analytics into actionable insights for cross-functional teams. It requires strong analytical skills to identify meaningful patterns while filtering out noise. Additionally, analysts must communicate findings clearly to stakeholders who may not have a technical background, ensuring recommendations are understood and implemented effectively.

What is Contentsquare?

Contentsquare is a digital experience analytics platform that helps businesses understand how users interact with their websites and apps. It provides insights into user behavior, such as where users click, scroll, or hesitate, allowing companies to identify pain points and optimize the user journey. By leveraging tools like heatmaps, session recordings, and conversion analytics, Contentsquare enables organizations to improve customer experiences, drive engagement, and increase conversions. The platform is used by a variety of industries to make data-driven decisions for website and product improvements.
More about Contentsquare jobs
What cities are hiring for Contentsquare jobs? Cities with the most Contentsquare job openings:
What states have the most Contentsquare jobs? States with the most job openings for Contentsquare jobs include:
What job categories do people searching Contentsquare jobs look for? The top searched job categories for Contentsquare jobs are:
Contentsquare jobs near you
Infographic showing various Contentsquare job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.
Product Solutions Architect - Product Analytics and Experimentation

Product Solutions Architect - Product Analytics and Experimentation

Datadog

Boston, MA • On-site

Full-time

Medical, Dental, Retirement, PTO

Posted 16 days ago

Job description

The Product Solutions Architecture (PSA) team acts as a technical multiplier across Datadog. PSAs are domain experts who partner with Field teams on complex customer use cases across pre- and post-sales engagements and scale their impact by producing reusable collateral, including reference architectures, technical guides, and enablement assets. By feeding real-world customer insights back to Datadog Product teams, PSAs help influence product roadmaps while accelerating adoption, usage, and long-term customer success.
The Digital Experience & Experimentation family of products includes Product Analytics, Feature Flags, Experimentation, and Session Replay and is a fast-growing segment at Datadog and addresses a distinct buyer, product managers, digital experience teams, and product engineers building and optimizing customer-facing applications. As a Product Solutions Architect, you will partner closely with Datadog customers and the Product team to design architectures, implement best practices, and drive adoption of this digital experience product family across customer environments.
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 an in-house subject matter expert for the Datadog Product Analytics, Feature Flags, Experimentation, and Session Replay and related products.
  • Partner with field teams to offer guidance on architecture choices, SDK instrumentation, data collection, and best practices to large Enterprise customers as they adopt the product family.
  • Act as a trusted advisor to Product Management by delivering actionable feedback informed by real-world field experience.
  • Create high-impact technical collateral, including reference architectures, technical guides, cookbooks, and documentation to enable Field teams and the broader customer community.
  • 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 Product Analytics product family.
  • Build proofs of concept and small-scale deployments to validate solutions and reproduce real-world customer environments.
  • Collaborate on defining the technical GTM motion for Feature Flags and Experimentation, including competitive positioning against competitors to enable Sales Engineers globally to run these conversations independently.

Who You Are:
  • 5+ years of experience solving complex problems for customers and a strong knowledge of building applications, specifically using product analytics, feature flagging, or digital experience tooling.
  • You have excellent verbal and written communication skills.
  • Familiarity with product analytics platforms and optimizing them for Enterprise level production usage (e.g. Adobe Analytics, Google Analytics, Amplitude, Mixpanel, Heap, Contentsquare, FullStory, PostHog).
  • Fluent in the digital experience and product analytics market domain, competition, technological shifts, and customer needs related to feature flag management, experimentation, and session replay.
  • In-depth knowledge or experience with leveraging feature flag and experimentation tools (LaunchDarkly, Eppo, Split, Optimizely, etc.) and session replay platforms (FullStory, Contentsquare, Microsoft Clarity, etc.).
  • Someone who can analyze Codebase and understands CI/CD, branch strategies and how that can influence Feature Flags.
  • Experience with commonly used web and mobile languages and frameworks such as JavaScript, TypeScript, React, Python, iOS/Swift, Android/Kotlin, and file formats such as JSON and YAML.
  • You are comfortable operating in rapidly evolving, ambiguous technical domains.
  • You build deep context across teams and translate it into reusable, scalable solutions.
  • You take ownership from problem definition through implementation and measurable outcomes.
  • You are highly detail-oriented, particularly when working on architectures and customer-facing technical assets
  • You bring strong listening and consultative skills and are experienced supporting customers in high-pressure, complex situations.
  • 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 a Growth Engineering
  • Experience using Datadog and/or other observability tools with Product Analytics, or Feature Flags.
  • Have proven experience deploying observability or analytics instrumentation in production environments at scale.
  • Background in experimentation program design, defining success metrics, guard rails, and statistical significance frameworks for A/B tests.
  • Experience with privacy-by-design and data governance for session replay, including PII masking, consent management, and data residency requirements in regulated industries.
  • Experience collaborating with open source projects and active engagement within associated communities.

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.
#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:
$151,500-$222,000 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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