Product Manager (Cloud)
Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Oct 1, 2026.
Join Modular, a cutting-edge AI infrastructure platform, as a Product Manager for our cloud compute platform. In this role, you will drive the product vision and strategy, collaborate with engineering and AI application teams, and engage directly with advanced enterprise customers. You will have the opportunity to shape the future of AI infrastructure and make a real impact in the industry.
Missions
- 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.
Profil recherché
- 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
- 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
- Excellent written and verbal communication skills, especially when working across technical and non-technical audiences
- Strong analytical and systems-level thinking, with the ability to reason about performance, scalability, and cost
- 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