Distinguished Architect, AI

The shape of it

In the posting’s own words

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 it asks for · 8

• Industry Experience: 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 (GPUs/TPUs), and modern orchestration frameworks.
• Strategic Thinker : Able to think long term and creatively about a wide variety of technical and business challenges
• Stakeholder Management : Proven experience interacting with and influencing elite individual contributors, research scientists, and technical founders in flat, rapid-growth environments.
• Technologist : A true close-to-the-metal technologist who maintains deep hands-on credibility and can white-board architectural solutions seamlessly with senior engineers. Strong understanding of best practices and real world challenges AI/LLM Ops and LLM Observability (LLMO).
• Presenter : Excellent customer-facing presentation skills for large audiences, comfortable discussing complex technical details as well as with briefing executives or non-technical personas.
• Communicator : Excellent verbal and written communication skills, ability to link product functionality to business objectives, value realization and ROI.
• Travel : Able to travel via auto, train or air up to 50% of the time
• Education : Bachelor’s degree in engineering or related field, Master’s degree preferred

What the job covers

• Leadership : Demonstrate thought leadership in the AI/LLM space. Influence key decision makers and stakeholders by connecting technical capabilities to organizational and business impact.
• Advisory : Strategically partner with highly technical Founders, Heads of Infrastructure, and Research Lead peers. Guide them on best practices and emerging industry trends in the AI/LLM space. Lead high-level technical and architectural conversations around AI adoption.
• Presentations : Lead deep-dive architecture reviews and design engagements with customer teams and their leaders to share industry trends, best practices, and demonstrate how Datadog can support high-throughput hyper scale AI workloads.
• GTM : Identify emerging AI-native technology shifts and feed them directly back to Datadog Product Management. Co-create custom observability integrations and solutions alongside Product SAs to keep Datadog at the absolute forefront of the AI stack.
• Collaboration : Collaborate with Product Solutions Architecture (PSA), Sales, Sales Engineering and Marketing in providing high-quality technical resources to a broad audience of practitioners and economic buyers.
• Hiring : Assist leadership in recruiting and hiring of top talent for the Product Solutions Architecture and Field CTO teams.

Degree language

• Education : Bachelor’s degree in engineering or related field, Master’s degree preferred

Tools and skills named

Words the posting leans on

• technical10×
• product6×
• solutions6×
• ai/llm4×
• business3×
• challenges3×
• experience3×
• infrastructure3×
• lead3×
• leadership3×
• observability3×
• practices3×
• product solutions3×
• skills3×
• solutions architecture3×
• technology3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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