Technical Program Manager (Cloud Inference)

Anthropic; San Francisco (CA); On-site; USD 290,000 - 435,000; Full time

Job summary

Anthropic is seeking a Technical Program Manager for Cloud Inference in New York. You will drive coordination across multiple teams and manage the launch of AI models on cloud platforms such as Amazon Bedrock and Google Vertex AI. This role requires expertise in technical program management, strong communication skills, and a solid understanding of cloud computing. Compensation ranges from $290,000 to $435,000 USD. Join us to make a significant impact in the AI industry.

Qualifications

• Several years of experience in technical program management with successful delivery of complex programs.
• Strong understanding of cloud platforms and AI technologies.
• Exceptional interpersonal and communication skills for influencing cross-organizational support.

Responsibilities

• Define and sequence major technical initiatives for cloud partnerships and AI model deployment.
• Own launch readiness for Claude models on partner cloud platforms.
• Act as primary technical interface to cloud partner engineering organizations.

Skills

Technical program management

Cloud computing architectures

AI/ML deployment

Exceptional interpersonal skills

Ability to navigate ambiguity

Education

Bachelor’s degree or equivalent

Job description

Technical Program Manager, Cloud Inference

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

We are seeking an experienced Technical Program Manager to support our critical cloud deployments. In this role you will be an execution owner, driving coordination and collaboration across multiple engineering teams. You will also support the collaboration and technical execution between our internal engineering teams and our major cloud partners including Amazon Bedrock, Google Vertex, and Microsoft Foundry.

Your primary focus will be on ensuring tight coordination on engineering deliverables both within our internal teams and between our partner teams, enabling repeatable and efficient product development and launch pipelines for our AI models on third‑party platforms. You will be responsible for aligning a range of business and technical stakeholders to drive execution of technical roadmaps, with a particular emphasis on optimizing our presence and performance.

This position offers the opportunity to make a significant impact on Anthropic's growth and success in the cloud AI market, while working at the forefront of AI development and innovation.

Responsibilities

• Partner with engineering leaders to define, scope, and sequence major technical initiatives for cloud partnerships and AI model deployment, and own the plans, timelines, and resourcing to land them.
• Own launch readiness for Claude models on partner cloud platforms: checklist, blocker tracking, joint go/no‑go with the partner, and post‑launch stability follow‑through.
• Act as the primary technical interface to cloud partner engineering orgs — owning the relationship, the shared roadmap, and day‑to‑day coordination on deployment, capacity, and incidents.
• Drive cross‑functional alignment across internal engineering, product, and go‑to‑market teams to land joint deliverables with the partner.
• Provide clear and transparent reporting on program status, issues, and risks to executives and stakeholders.

You may be a good fit if you

• Have several years of experience in technical program management, with a track record of successfully delivering complex technical programs, preferably involving cloud platforms and AI technologies.
• Have strong understanding of cloud computing architectures, AI/ML deployment, and integration challenges.
• Have exceptional interpersonal and communication skills, enabling you to influence without authority and build cross‑organizational support.
• Have a high threshold for navigating ambiguity and ability to balance strategic priorities with rapid, high‑quality execution.
• Thrive in fast‑paced, scaling environments with the ability to bring order to chaos.
• Are passionate about Anthropic's mission and committed to ensuring AI is developed safely.

Strong candidates may also have

• Direct experience with a hyperscaler's managed AI platform — Amazon Bedrock, Google Vertex AI, or Azure AI Foundry — including how partners list, launch, and onboard customers on it.
• Background in ML inference, model serving infrastructure, or accelerator‑based compute.
• Have owned joint engineering roadmap or dependency tracking, driving incident follow‑through, and converting open issues into a prioritized plan both sides commit to.
• Experience with release engineering, deployment automation, or CI/CD for systems that ship to multiple targets or environments.

Compensation

$290,000 - $435,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.

As set forth in Anthropic’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.