Product Manager, Cloud

Modular is building a next-generation AI infrastructure platform that unifies fragmented application frameworks and hardware backends into a single, programmable system. They are seeking a Product Manager to drive the product vision for their cloud compute platform, collaborating with various teams to deliver a high-performance AI model-serving system.

Responsibilities:

• 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

Requirements:

• 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
• Excellent written and verbal communication skills, especially when working across technical and non-technical audiences
• A growth-oriented mindset with a bias toward learning from customers, data, and real-world usage
• Master's degree or Ph.D. in Computer Science or related technical field
• Experience developing, training, and/or deploying machine learning models into production environments
• Have worked in or around startups before or have a strong understanding of the nature of fast-moving, highly dynamic teams