gem
Product Manager, Cloud
Modular
Remote, USA
Full-time
Senior · 9+ years experience
Remote
USD 234000-286000 yearly / year
Discovered 3 weeks ago
KubernetesPyTorchvLLMCUDAVertex AISageMaker
Free
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What you will do:
- Own the product vision and strategy for Modular’s Cloud Platform, grounded in real customer workloads and measurable business outcomes.
- Partner with engineering and leading AI application teams to design and deliver a high-performance, transparent AI serving platform, giving customers deep visibility and control over performance, cost, and execution.
- Define and manage roadmaps, milestones, and success metrics, balancing near-term delivery with long-term platform evolution.
- Drive customer- and data-informed prioritization, translating market signals, performance insights, and feedback into clear product decisions and trade-offs.
- Work cross-functionally with engineering, program management, technical writing, design, and GTM to deliver a cohesive end-to-end cloud product experience.
- Engage directly with advanced enterprise customers and partners to validate direction, support early deployments, and feed learnings back into the platform.
- Identify and advance strategic integrations across hardware, cloud, and ecosystem partners while preserving performance and programmability as first-class principles.
What you bring to the table:
9+ years of product management experience, including significant work on technical cloud platforms, AI infrastructure, or data systems, or equivalent experience as a software or AI systems engineer.
Strong understanding of cloud architectures and technologies (e.g., Kubernetes), and/or experience with AI infrastructure platforms such as PyTorch, vLLM, CUDA, Vertex AI, SageMaker, or similar systems.
Experience defining product vision, shaping roadmap trade-offs, and driving products from early adoption toward broader production use.
Familiarity with security, privacy, and compliance considerations for cloud platforms.
Strong analytical and systems-level thinking, with the ability to reason about performance, scalability, and cost.
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