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Datadog

Builds monitoring and security tools for clouds

Distinguished Architect - AI

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-time$330k - $440k /yr

About the Job

Requirements

  • At least 10 years of experience with at-scale distributed systems architecture, high-performance computing, or large-scale infrastructure.
  • Deep familiarity with the AI/LLM ecosystem, accelerator hardware such as GPUs and TPUs, and modern orchestration frameworks.
  • Proven experience interacting with and influencing elite individual contributors, research scientists, and technical founders in flat, rapid-growth environments.
  • Strong understanding of best practices and real-world challenges in AI/LLM operations and LLM observability.
  • Excellent customer-facing presentation skills for large audiences, including discussing complex technical details and briefing executives or non-technical audiences.
  • Excellent verbal and written communication skills, including the ability to link product functionality to business objectives, value realization, and return on investment.
  • Able to travel by automobile, train, or air up to 50% of the time.
  • Bachelor’s degree in engineering or a related field.

Responsibilities

  • Demonstrate thought leadership in the AI/LLM space and influence decision makers and stakeholders by connecting technical capabilities to organizational and business impact.
  • Strategically partner with highly technical founders, heads of infrastructure, and research lead peers; guide them on best practices and emerging industry trends in AI/LLM; and lead high-level technical and architectural conversations about AI adoption.
  • Lead in-depth architecture reviews and design engagements with customer teams and their leaders to share industry trends and best practices and demonstrate support for high-throughput, hyperscale AI workloads.
  • Identify emerging AI-native technology shifts and provide feedback directly to Product Management.
  • Co-create custom observability integrations and solutions with Product Solutions Architects to keep Datadog at the forefront of the AI stack.
  • Collaborate with Product Solutions Architecture, Sales, Sales Engineering, and Marketing to provide high-quality technical resources to practitioners and economic buyers.
  • Assist leadership in recruiting and hiring talent for the Product Solutions Architecture and Field CTO teams.

Desired Qualifications

  • A master’s degree.

About the Company

Datadog

Builds monitoring and security tools for clouds

Datadog builds monitoring and security software for developers and operations teams that run cloud applications, giving them a shared view of system health and performance. Its platform links infrastructure monitoring with application performance and log analysis so teams trace a problem across the systems involved. Software agents and integrations collect operational data, which teams explore through dashboards and alerts to find failures, investigate threats and improve the customer experience. The company sells subscriptions to individual products and combined plans, with charges tied to the resources and data monitored. Datadog was founded in 2010 and is headquartered in New York City.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2010

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