Technical Program Manager, Cloud Inference
Drives coordination across engineering teams and cloud partners (Amazon Bedrock, Google Vertex, Microsoft Foundry) for AI model deployments. Owns technical roadmaps, launch readiness, and cross-functional alignment in fast-paced AI environment. Requires TPM experience with cloud/AI tech.
About the job
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.
- 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.
Nice-to-Haves
- 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.
- 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
- Annual Salary: $290,000—$435,000 USD
Skills
Amazon Bedrock, Google Vertex Ai, Azure Ai Foundry, Cloud Computing, Ai/Ml Deployment, Ml Inference, Model Serving, CI/CD, Release Engineering, Deployment Automation
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