Anthropic28.04.2026

Technical Program Manager, Cloud Inference

San Francisco

Обязанности

01Partner 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
02Own 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
03Act 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
04Drive cross-functional alignment across internal engineering, product, and go-to-market teams to land joint deliverables with the partner
05Provide clear and transparent reporting on program status, issues, and risks to executives and stakeholders

01Several years of experience in technical program management, with a track record of successfully delivering complex technical programs, preferably involving cloud platforms and AI technologies
02Strong understanding of cloud computing architectures, AI/ML deployment, and integration challenges
03Exceptional interpersonal and communication skills, enabling to influence without authority and build cross-organizational support
04High threshold for navigating ambiguity and ability to balance strategic priorities with rapid, high-quality execution
05Thrives in fast-paced, scaling environments with the ability to bring order to chaos
06Passionate about Anthropic's mission and committed to ensuring AI is developed safely
07Direct 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
08Background in ML inference, model serving infrastructure, or accelerator-based compute
09Owned joint engineering roadmap or dependency tracking, driving incident follow-through, and converting open issues into a prioritized plan both sides commit to
10Experience with release engineering, deployment automation, or CI/CD for systems that ship to multiple targets or environments

01Annual Salary: $290,000 — $435,000 USD
02Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
03Location-based hybrid policy: Currently, expected to be in one of the offices at least 25% of the time
04Visa sponsorship: Available (efforts made to secure for qualified candidates)