Senior Product Solutions Architect

The Synthetics Product is a critical pillar of Datadog’s digital experience monitoring portfolio, enabling customers to proactively test, monitor, and optimize the availability and performance of their applications and user journeys. As the Product Solutions Architect (PSA) for Synthetics, you will work closely with Datadog customers and the Synthetics Product and Engineering teams in helping Synthetics users architect, implement best practices, and adopt Datadog at scale. SAs ensure that customer needs have been met and that the solution is fully functioning according to business requirements, governance, and compliance goals. SAs are accountable for the outcome of these initiatives, and frequently collaborate with other Datadog resources to drive measurable success. 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 the Product Expert on Datadog Synthetics Product. Offer guidance on architecture choices, data collection, and best practices to large Enterprise customers as they adopt these Datadog services across the organization at scale. Be a Trusted Advisor to Product Management by providing high quality feedback based on your field experience working closely with our Support, Partners, and Customers. Capture repeat customer use cases and solutions and in turn publish Reference Architectures and Implementation Guides for Datadog prospect and customer consumption. 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 Synthetics Product amongst the Digital Experience product suite at Datadog. Exercise the products you represent by building small scale deployments and proofs of concepts to verify proposed solutions and reproduce customer environments. Who You Are: Someone with strong experience of synthetics products Someone who can dive deep into our Codebase, SDKs, and GitHub processes. Experience with JSON and YAML configuration files, and Terraform for Infrastructure as Code in CI/CD workflows. A self-starter, tech-savvy professional, who is comfortable working with bleeding edge technology and processes, even if it hasn’t been well defined. A deep learner and a Subject Matter Expert today that has built advocacy and knowledge across multiple teams with the knowledge you possess. Strong understanding of client-side, frontend, and backend application performance measurement, including synthetic testing strategies, performance indicators, and common failure modes Fluent in understanding the observability market domain, competition, technological shifts, and customer needs, especially specific to synthetics. Constantly finding new and unique solutions to solve hard problems. A person who possesses exceptional listening and consultative skills, for both internal and external audiences. Experienced working with customers in high pressure situations where the solution is sometimes not obvious. 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 an Architect or Consultant. In-depth knowledge or experience with leading Observability tools (Datadog, New Relic, AppDynamics, Dynatrace, etc.) Experience using Datadog and/or other observability tools in an SRE or DevOps capacity. Experience with application performance tuning. Have proven experience deploying observability in production environments at scale. Experience collaborating with open source projects and active engagement within associated communities. Experience educating customers on AI-enabled systems, including setting expectations around non-deterministic behavior, variability in outputs, and how to design reliable workflows and user experiences around these characteristics 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: Generous and competitive benefits package New hire stock equity (RSUs) and employee stock purchase plan Continuous career development and pathing opportunities Employee-focused best in class onboarding Internal mentor and cross-departmental buddy program Friendly and inclusive workplace culture Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. 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:

$167,000—$244,000 USD

About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. 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.