Product Solutions Architect - Product Analytics and Experimentation

## Responsibilities - 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. ## Requirements - 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. ## Nice to Have - 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. ## Benefits 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.