Technical Program Manager, Cloud Inference
About the role
We are seeking an experienced Technical Program Manager to support our critical cloud deployments. 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.
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
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.
Qualifications
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.
Pay
The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary $290,000—$435,000 USD.
Schedule
Logistics
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.
Benefits
We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage
We believe that the easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.