Product Solutions Architect - Product Analytics and Experimentation

About the role

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.

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.

Qualifications

• 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).
• 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.