Senior Product Manager, Orchestrate

nTop

About The Position

nTop builds parametric design software for the hardest geometry problems in aerospace, defense, and industrial turbomachinery. Our platform lets engineers define a design as a parametric program — a model that represents not one aircraft or turbine, but every variant of it that a program might need to consider. Customers use nTop to compress the journey from requirements to fielded systems, replacing years of iterative hand-modeling with systematic exploration across design spaces that were previously too large to search. The next step in that journey is scale. The unit of work is no longer an individual engineer at a screen — it's a large-scale distributed computation: thousands of design variants evaluated in parallel, across cloud, HPC, and on-prem infrastructure, with results feeding directly into AI-driven optimization and generative design workflows. We're building the product that makes that possible. We're looking for a Product Manager to own the strategy, roadmap, and execution for workload orchestration — the capabilities that let nTop customers define, launch, monitor, and collect results from large-scale distributed computation jobs. This is a greenfield product area. You'll determine what first-party orchestration capability looks like, build integrations with the tools our customers already use (HEEDS, ModelCenter, PhysicsX Flux, and others), and launch the business model — concurrent agent pricing — that will make this a new and meaningful revenue stream. The north-star metric for this team is headless nTop notebook executions: customers exploring more design variations, in less wall-clock time, without a human in the loop for every run. 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. This role sits at the center of it — owning a product area that doesn't exist yet in its full form, launching a new revenue model, and building for customers whose work is genuinely high-stakes. The problems are hard, the ownership is real, and the potential is significant.

Requirements

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.
Experience shipping enterprise software across cloud, on-prem, or customer-managed environments, with working knowledge of modern compute and orchestration models — containerization, Kubernetes, HPC job schedulers, or cloud-native job execution.
Product-level understanding of scalability, reliability, and security in compute-intensive systems — enough to reason credibly about architectural tradeoffs and work effectively with the engineering teams building the infrastructure.
Strong data orientation: able to define instrumentation requirements, establish leading indicators, and use quantitative evidence to prioritize and communicate.

Nice To Haves

Experience with MDO, design space exploration, or engineering orchestration tools (HEEDS, ModelCenter, OpenMDAO, 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.

Responsibilities

Own the roadmap.
Define and maintain the product roadmap for workload orchestration. Prioritize against customer value, technical feasibility, and business impact — and defend those priorities with clear, data-driven rationale to engineering, leadership, and go-to-market teams.
Build integrations and define the native experience.
Lead discovery and requirements definition for integrations with the orchestration platforms customers already rely on — HEEDS, ModelCenter, PhysicsX Flux, and cloud-native job services from AWS and GCP. Own the build vs. partner decisions. Shape the first-party headless execution experience: job definition, submission, monitoring, failure handling, and results collection across workstation, on-prem HPC cluster, and cloud.
Launch the concurrent agent model.
Own the product requirements for nTop's shift from per-seat to per-concurrent-agent-service pricing. Understand how customers plan and budget for compute-intensive workloads, and design the commercial and product experience around how they actually scale.
Measure and instrument.
Define the metrics — headless executions, concurrent job volume, time-to-result, integration adoption — and drive the instrumentation needed to track them. Use that data to prioritize and to tell the story of progress to the business.
Work the field.
Partner with forward-deployed field engineers and engage directly with advanced users to collect requirements from live workflows, stress-test strategy against real constraints (IT governance, security, export control, compute cost), and close the loop between production use and product priorities.
Collaborate across design, UX research, and go-to-market.
Work with design and UX research to ensure that scale doesn't come at the cost of workflow clarity. Partner with Marketing, Sales, and CS to translate workload orchestration into value that resonates with both engineering teams and the program-level stakeholders who expand usage.