Product Solutions Architect - Product Analytics and Experimentation

· Remote

Location

Remote

Type

Full Time

Job Description

Product Solutions Architect - Product Analytics and Experimentation

Reposted 3 Hours Ago
Easy Apply
4 Locations
Hybrid
152K-222K Annually
Senior level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
We are building the monitoring and security platform for developers IT ops teams and business users in the cloud age.
The Role
As a Product Solutions Architect you'll guide customers on implementing Datadog's digital experience products create technical collateral and collaborate with internal teams to enhance product adoption and success.
Summary Generated by Built In

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 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.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills we encourage you to apply.

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

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Datadog offers a competitive salary and equity package and may include variable compensation. Actual compensation is based on factors such as the candidate's skills qualifications and experience. In addition Datadog offers a wide range of best in class comprehensive and inclusive employee benefits for this role including healthcare dental parental planning and mental health benefits a 401(k) plan and match paid time off fitness reimbursements and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is:
$151500$222000 USD

About Datadog: 

Datadog (NASDAQ: DDOG) is a global SaaS business delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation cloud migration and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers for engineers Datadog is used by organizations of all sizes across a wide range of industries. Together we champion professional development diversity of thought innovation and work excellence to empower continuous growth. Join the pack and become part of a collaborative pragmatic and thoughtful people-first community where we solve tough problems take smart risks and celebrate one another. Learn more about #DatadogLife on Instagram LinkedIn and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability gender identity veteran status and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories consistent with legal requirements. Here are our Candidate Legal Notices for your reference. 

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. 

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy please visit Interviewing at Datadog AI Guidelines.

Top Skills

Adobe Analytics
Amplitude
Android/Kotlin
Contentsquare
Eppo
Fullstory
Google Analytics
Heap
Ios/Swift
JavaScript
JSON
Launchdarkly
Mixpanel
Optimizely
Posthog
Python
React
Split
Typescript
Yaml

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The Company
HQ: New York NY
6500 Employees
Year Founded: 2010

What We Do

Datadog (NASDAQ: DDOG) is a global SaaS business delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation cloud migration and infrastructure monitoring of our customers' entire technology stacks. Built by engineers for engineers Datadog is used by organizations of all sizes across a wide range of industries. Together we champion professional development diversity of thought innovation and work excellence to empower continuous growth. Join the pack and become part of a collaborative pragmatic and thoughtful people-first community where we solve tough problems take smart risks and celebrate one another.

Why Work With Us

At Datadog we learn from and celebrate each other daily - each win is a team win. Datadogs solve tough problems innovate pragmatically and grow together. We promote from within provide mentorship and opportunities for career development and support our colleagues in the process. Best of all? We truly love what we do.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them and their team.

Typical time on-site: 3 days a week
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Date Posted

04/19/2026

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