Senior Product Solutions Architect - Logs
We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful.
What this role actually needs.
We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. Responsibilities: - Serve as the Product Expert on Logs, CloudPrem, and Observability Pipelines - 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 - Design and validate hands-on, production-ready architectures spanning cloud infrastructure, Kubernetes platforms, and customer-managed environments - Actively identify opportunities to simplify, optimize, and standardize deployment patterns , reducing operational complexity for customers through architectural guidance and best practices. - 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, automation patterns, and Implementation Guides for Datadog prospect and customer consumption Requirements: - Serve as the Product Expert on Logs, CloudPrem, and Observability Pipelines - 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 - Design and validate hands-on, production-ready architectures spanning cloud infrastructure, Kubernetes platforms, and customer-managed environments - Actively identify opportunities to simplify, optimize, and standardize deployment patterns , reducing operational complexity for customers through architectural guidance and best practices. - 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, automation patterns, and Implementation Guides for Datadog prospect and customer consumption 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 Company context: Datadog operates a cloud observability and security platform with meaningful hiring across infrastructure, security, AI, and developer tooling.
Day-to-day expectations
Datadog lists these responsibilities for the Senior Product Solutions Architect - Logs role.
- Serve as the Product Expert on Logs, CloudPrem, and Observability Pipelines
- 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
- Design and validate hands-on, production-ready architectures spanning cloud infrastructure, Kubernetes platforms, and customer-managed environments
- Actively identify opportunities to simplify, optimize, and standardize deployment patterns , reducing operational complexity for customers through architectural guidance and best practices.
- 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, automation patterns, and Implementation Guides for Datadog prospect and customer consumption
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Serve as the Product Expert on Logs, CloudPrem, and Observability Pipelines
- 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
- Design and validate hands-on, production-ready architectures spanning cloud infrastructure, Kubernetes platforms, and customer-managed environments
- Actively identify opportunities to simplify, optimize, and standardize deployment patterns , reducing operational complexity for customers through architectural guidance and best practices.
- 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, automation patterns, and Implementation Guides for Datadog prospect and customer consumption
Why people would want this job
Datadog published these compensation, benefits, or working-context details with the role.
- 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
Why this listing is more than a copied job post.
Senior Product Solutions Architect - Logs is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
United States tech market
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Compensation read
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Current extracted signal: United States residents. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
Location read
On-site roles in Boston should be compared against commute, local salary bands, and nearby employer demand.
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Source: careers.datadoghq.com · Source ID: 7750751 · Confidence: 93/100 · Last checked: May 7, 2026
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