Product Solutions Architect - Product Analytics and Experimentation

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, a

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.). Ability to analyze codebase and understand 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. Strong ability to build deep context across teams and translate it into reusable, scalable solutions. Takes ownership from problem definition through implementation and measurable outcomes. Detail-oriented, particularly when working on architectures and customer-facing technical assets. Strong listening and consultative skills; experienced supporting customers in high-pressure, complex situations. Able to sit for up to 4 hours and travel to client sites. Able to travel up to 40% of the time.