Product Manager, Cloud - Remote · Remote

At Modular, a Qualcomm company , we’re on a mission to revolutionize AI infrastructure by systematically rebuilding the AI software stack from the ground up. Our team, made up of industry leaders and experts, is building cutting-edge, modular infrastructure that simplifies AI development and deployment. By rethinking the complexities of AI systems, we’re empowering everyone to unlock AI’s full potential and tackle some of the world’s most pressing challenges.

If you’re passionate about shaping the future of AI and creating tools that make a real difference in people’s lives, we want you on our team. You can read about our culture and careers to understand how we work and what we value.

Modular is building a next-generation AI infrastructure platform that unifies fragmented application frameworks and hardware backends into a single, programmable system – making it easier to deploy AI in production while accelerating innovation across models and hardware. We’re looking for someone to drive the product vision for Modular’s cloud compute platform: a high-performance, scalable AI model-serving system designed for advanced GenAI developers, with deep visibility and control over performance, cost, and execution.

In this role, you’ll work closely with engineering, program management, and technical writing to turn cutting-edge infrastructure into real customer value, evolve the platform from early adoption into a scalable cloud business, and collaborate with leading AI companies and hardware partners as we redefine modern AI infrastructure through a more transparent, performance-driven cloud.

LOCATION:Candidates based in the US or Canada are welcome to apply. You can work in our office in Los Altos, CA or remotely from home. Onboarding for new hires is conducted in-person in our Los Altos, CA office.

• 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.

• 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, Sage Maker, 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.

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related technical field.
• 8+ years of Product Management or related work experience.
  • Completed advanced degrees in a relevant…