Upstream Product Manager - Remote

Overview

We’re seeking a strategic, technically fluent Upstream Product Manager to help shape the future of our AI- and HPC-powered platform for scientific computing. In this pivotal role, you’ll work at the intersection of customer insight, emerging technology, and platform architecture; leading early-stage product strategy and influencing what we build next.

In Short

• Own early-stage product discovery and upstream planning for platform capabilities related to HPC and AI/ML workloads.
• Translate emerging customer needs into actionable platform requirements, grounded in deep technical and market understanding.
• Identify and validate new market opportunities, use cases, and product expansion areas through voice of customer, market analysis, and competitive insights.
• Partner closely with platform architects, engineering leads, and design teams to explore and prioritize what’s feasible, sustainable and impactful.
• Serve as the “voice of the market” during early-stage platform roadmap planning and backlog grooming.
• Collaborate with downstream product managers to ensure smooth handoff from vision to execution.
• Drive product initiatives around compute orchestration, workload scheduling, data-intensive pipelines, and AI/ML tooling.
• Anticipate and influence platform decisions around emerging technologies (e.g., GPUs, AI agents, LLM integrations, cloud-native scaling).
• Stay abreast of trends in scientific computing, enterprise AI, and cloud HPC to inform strategic bets.
• Provide technical representation in the business development process.

Requirements

• 10+ years in software/platform architecture, with 5+ years focused on HPC or large-scale compute environments.
• 8+ years of product management experience, including 3+ years focused on platform or infrastructure products.
• Proven success in upstream or strategic product roles, ideally in HPC, AI/ML, or scientific computing platforms.
• Experience in a B2B, SaaS, or enterprise environment with technical users (e.g., data scientists, modelers, engineers).
• Deep understanding of cloud-native architecture, containers (Docker), orchestration (Kubernetes), and job schedulers (e.g., Slurm, SGE, Argo, Airflow).
• Familiarity with AI/ML toolchains and workflows (e.g., TensorFlow, PyTorch, model lifecycle management).
• Ability to evaluate and frame technical trade-offs with architects and engineering leaders.
• Strong discovery, prioritization, and roadmap development capabilities.
• Confident communicator, skilled at simplifying complex concepts for diverse stakeholders.
• Ability to work both independently and as part of a highly capable team.

Benefits

• Metrum Research Group offers competitive salaries and an excellent benefits package.
• Opportunity to work on innovative AI and HPC technologies.
• Work in a collaborative and cross-disciplinary environment.
• Contribute to impactful scientific computing advancements.
• Flexible work arrangements.