Product Manager, Scale Distributed Computing in Design Variants

nTopology; United States; On-site; USD 175,000 - 205,000; Full time

Job summary

nTop is seeking a Product Manager to own the problem of how customers run and scale large-scale distributed computing—defining, launching, monitoring, and collecting results from thousands of design variants evaluated in parallel.

You’ll determine first-party integrations with HEEDS, ModelCenter, PhysicsX Flux, and cloud schedulers, shape the headless execution experience, and build a data-driven roadmap aligned with pricing and packaging strategies.

Qualifications

• 4-7 years of PM experience in complex, technical B2B software.
• Experience shipping enterprise software across cloud, on-prem, or customer-managed environments.
• Product-level understanding of scalability, reliability, and security in compute-intensive systems.
• Strong data orientation: define instrumentation, leading indicators, and quantitative prioritization.

Responsibilities

• Own the roadmap for distributed computing; prioritize by customer value, feasibility and business impact.
• Lead discovery and define the first integration with HEEDS, ModelCenter, PhysicsX Flux, and cloud-native job services.
• Define and monitor metrics for headless executions, job volume, time-to-result, and adoption.

Skills

PM experience

Cloud/enterprise software

Data-driven decision making

Distributed computing

Tools

Kubernetes

HPC schedulers

Cloud-native execution

Job description

nTop is seeking a Product Manager to own the problem of how customers run and scale large-scale distributed computing—defining, launching, monitoring, and collecting results from thousands of design variants evaluated in parallel.

You’ll determine first-party integrations with HEEDS, ModelCenter, PhysicsX Flux, and cloud schedulers, shape the headless execution experience, and build a data-driven roadmap aligned with pricing and packaging strategies.