datadog
Product Solutions Architect - Product Analytics and Experimentation
At a Glance
- Location
- Boston, Massachusetts, USA; New York, New York, USA
- Work Regime
- hybrid
- Experience
- 5+ years
- Posted
- 2026-03-23T13:40:22-04:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
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.
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.).
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.
Compensation & Benefits
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
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.