Ntop

Product Manager, Distributed Computing

US Remote

Sponsorship not specifiedDetected 6 days ago

AWSGCPKubernetesRESTUX ResearchProduct ManagementProduct StrategyProcurementResearchLeadership

About the role

We're looking for a Product Manager to own the problem of how nTop customers run and scale large-scale distributed computing - defining, launching, monitoring, and collecting results from thousands of design variants evaluated in parallel - and to turn that understanding into a prioritized roadmap for where nTop should build first.
You'll determine what first-party distributed computing capability looks like, and scope and deliver nTop's first integration with the tools our customers already use (HEEDS, ModelCenter, PhysicsX Flux, and others).
The concurrent-agent pricing model - a new revenue stream for nTop - is launching on a separate track ahead of this role; your job is to understand how customers plan and budget for compute-intensive work so the product and packaging experience holds up as that model rolls out.

Define and maintain the product roadmap for distributed computing.
Build the first integration and define the native experience.
Own the build vs. partner decision for that integration.
Define the metrics - headless executions, concurrent job volume, time-to-result, integration adoption - and drive the instrumentation needed to track them.

Required 4-7 years of PM experience in complex, technical B2B software, with ownership of a product area spanning both user-facing workflows and infrastructure or platform concerns.
You have a validated picture of how advanced users run large-scale exploration workflows today, where the friction is, and which integration and first-party opportunities are highest value.
Who You Are Required 4-7 years of PM experience in complex, technical B2B software, with ownership of a product area spanning both user-facing workflows and infrastructure or platform concerns.

able to define instrumentation requirements, establish leading indicators, and use quantitative evidence to prioritize and communicate.
Preferred Experience with MDO, design space exploration, or engineering orchestration tools (HEEDS, ModelCenter, OpenMDAO, Dakota, PhysicsX Flux, or similar).
Exposure to usage-based or consumption-based pricing models, or experience transitioning a product from seat-based to compute-based licensing.
Background in aerospace, defense, or industrial engineering software, or experience selling into engineering-heavy organizations with complex procurement and IT governance requirements.
Why This Role The shift from individual-engineer CAD to large-scale parallel computation is one of the most consequential transitions happening in engineering software right now.

Lead discovery across the distributed computing platforms customers already rely on - HEEDS, ModelCenter, PhysicsX Flux, and cloud-native job services from AWS and GCP - and, based on that discovery, scope and deliver nTop's first integration with the highest-value platform, deferring the rest explicitly for a later phase.
Your job is to understand how customers actually plan, budget for, and scale their usage of compute-intensive workloads, and feed that insight into the ongoing pricing and packaging decisions owned by product leadership.

o collect requirements from live workflows, stress-test your roadmap against real constraints (IT governance, security, export control, compute cost), and close the loop between production use and product priorities

This listing is sourced directly from Ntop's careers page and normalized into a canonical job model.