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Product Solutions Architect - LLM ObservabilityUnited States Digital Space LLC • Boston, Massachusetts, United States
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Product Solutions Architect - LLM Observability

United States Digital Space LLC
  • US
    Boston, Massachusetts, United States
  • US
    Boston, Massachusetts, United States
Jetzt Bewerben

Über

The Product Solutions Architecture (PSA) team acts as a technical multiplier across the company. 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 the company Product teams, PSAs help influence product roadmaps while accelerating adoption, usage, and long‑term customer success.
The company’s LLM Observability product enables organizations to monitor, troubleshoot, and optimize large‑scale LLM‑powered applications with confidence, while meeting requirements around data privacy, compliance, and cost management. As a Product Solutions Architect, you will partner closely with the company customers and the LLM Observability product team to design architectures, implement best practices, and drive adoption of LLM observability across customer environments.
At the company, 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 in‑house subject matter expert for the company’s LLM Observability product
Partner with Field teams to provide hands‑on technical and architectural guidance to enterprise customers adopting LLM Observability
Create high‑impact technical collateral, including reference architectures, technical guides, cookbooks, and documentation to enable Field teams and the broader customer community
Build proofs of concept and small‑scale deployments to validate solutions and reproduce real‑world customer environments
Act as a trusted advisor to Product Management by delivering actionable feedback informed by real‑world field experience
Who You Are:
You bring a strong software engineering foundation, with hands‑on experience building and operating LLM‑powered applications in production environments, and are comfortable diving deep into codebases to understand architectural decisions, tradeoffs, and implementation details
You are familiar with distributed systems and core observability concepts, such as tracing, metrics, and logging, and can translate those patterns into the emerging LLM observability domain, including LLM spans, evaluations, and prompt templates
You have experience with languages such as Python and/or JavaScript/TypeScript
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 an Architect or Consultant
Experience using the company and/or other observability tools in an SRE or DevOps capacity
Experience with LLM application evaluation and testing frameworks
The company 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 the company.
The company 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, the company 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 the company is: $151,500 — $222,000 USD
About the company: the company 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, the company enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and the company Learning Center.
Equal Opportunity at the company: the company 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.
the company 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 the company as part of your application will be processed in accordance with the company’s Applicant and Candidate Privacy Notice
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  • Boston, Massachusetts, United States

Sprachkenntnisse

  • English
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