Product Manager
Parallel Domain
Product Manager
Parallel Domain
Synthetic data platform for autonomous systems
Company Overview
Parallel Domain is the trusted sensor simulation and reconstruction software for physical AI. We turn customer capture data into real-fidelity replicas with deterministic multi-sensor simulation running on top. The largest autonomy programs in the world use our products to validate perception at the scale that safety demands.
They are a Series B company backed by March Capital, Foundry Group, Costanoa Ventures, Toyota Ventures, and others. Their team includes engineers from Waymo, Cruise, Apple, NVIDIA, and Google. They are fully remote and growing fast.
How long has the company been operating? 2017
Total company headcount: 50+
Our mission is to enable our customers to bring autonomy and physical AI to the world faster and safer. We believe physical AI and autonomy have the power to create a safer and more productive world, and we are building the simulation infrastructure to make that future real. Our high-fidelity, fully controllable, software-in-the-loop sensor simulation products give the leaders in autonomous driving, drone delivery, eVTOL, robotics, and beyond the realism, accuracy, and confidence they need to test and validate their systems at scale. In autonomy and physical AI, there is no margin for error.
As a Product Manager, you will work closely with our Chief Product Officer to manage Parallel Domain’s simulation and neural reconstruction products.
This role combines hands-on product management, customer interaction and strategic product roadmapping with highly technical work across AI development, simulation, programming and autonomy.
You will spend significant time with customers understanding how they use simulation to accelerate autonomous-system development, then translate those needs into scalable product capabilities.
We are looking for someone comfortable operating in ambiguity, solving complex technical problems and turning customer needs into winning products.
Synthetic data platform for autonomous systems
Parallel Domain provides synthetic data for autonomous systems. It creates labeled synthetic datasets, simulation environments, and controllable sensor feeds to help perception, machine learning, data operations, and simulation teams train and test algorithms for autonomous vehicles and delivery drones. The product operates through a connect-to-API platform, offering data through subscriptions and usage-based pricing so teams can generate data, run simulations, and feed sensors without real-world testing. Compared with competitors, it specializes in end-to-end synthetic data generation for perception and ML pipelines with an API-driven workflow focusing on autonomous systems rather than general data generation. The goal is to speed up development and testing of autonomous technologies by providing scalable, safe, and repeatable data and simulation environments that reduce the time and resources spent on real-world testing.
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