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Product Solutions Architect 3 - Digital Experience & Experimentation

Designs architectures and implements best practices for Datadog's Digital Experience products including Product Analytics, Feature Flags, Experimentation, and Session Replay. Partners with field teams and Product Management for enterprise customer adoption, creates technical collateral, and provides domain expertise. Requires 5+ years in product analytics or digital experience tooling.

92k – 177kBoston, MANew York, NYSolutions ArchitectureHybrid5+ YOE

About the role

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.
  • 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.).
  • 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.
  • Comfortable operating in rapidly evolving, ambiguous technical domains.
  • Build deep context across teams and translate it into reusable, scalable solutions.
  • Take ownership from problem definition through implementation and measurable outcomes.
  • Highly detail-oriented, particularly when working on architectures and customer-facing technical assets.
  • Strong listening and consultative skills and experienced supporting customers in high-pressure, complex situations.

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.
  • 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.

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

Skills

Product AnalyticsFeature FlagsExperimentationSession ReplayJavaScriptTypeScriptReactPythonIos/SwiftAndroid/KotlinCI/CDJSONYamlDatadogLaunchdarkly

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