Technical Program Manager, Cloud Inference

USD 290,000-435,000 per year
MIDDLE
✅ Hybrid
✅ Visa Sponsorship

Used Tools & Technologies

Machine Learning

Required Skills & Competences

CI/CD @ 3 Vertex AI @ 3 Azure @ 3 Communication @ 5 Reporting @ 3 Cloud Computing @ 6 AI @ 3

Details

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.

Role overview

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/Azure 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.

Requirements

  • 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.
  • Strong understanding of cloud computing architectures, AI/ML deployment, and integration challenges.
  • Exceptional interpersonal and communication skills, enabling you to influence without authority and build cross-organizational support.
  • Ability to navigate ambiguity and balance strategic priorities with rapid, high-quality execution.
  • Experience thriving in fast-paced, scaling environments.

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.
  • Experience owning joint engineering roadmaps 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

Annual Salary: $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; if an offer is made Anthropic will make every reasonable effort to get you a visa and they retain an immigration lawyer to help with this.

Benefits

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a collaborative office environment.

How we're different

Anthropic works as a cohesive team on a few large-scale research efforts and values impact, collaboration, and communication. The company emphasizes large-scale empirical AI research with attention to safety and societal implications.