This Product Manager role involves managing a suite of simulation and neural reconstruction products for physical AI. You will bridge the gap between complex customer workflows in autonomy/robotics and scalable platform capabilities.
What you’d own
Core product strategy, roadmap definition, and execution
Customer discovery and workflow analysis for perception systems
Success metrics like adoption, throughput, and model performance lift
Launch planning, documentation, and sales enablement materials
Who it’s for
A fit if you…
✓You have 3+ years of experience delivering B2B platform or infrastructure products
✓You have a technical background in software engineering or Python programming
✓You are comfortable working with machine learning frameworks and embodied AI
✓You enjoy bringing structure to ambiguous, open-ended technical problems
Not for you if…
✗You prefer a highly defined roadmap over an ambiguous, evolving product space
✗You are looking for a purely internal-facing role without customer travel/interaction
✗You lack the technical depth to communicate with AI developers and engineers
Reading between the lines
The requirement to 'travel to sit with customers' implies you will be expected to do deep, on-site discovery rather than just remote interviews.
The emphasis on 'zero to first release' suggests a high degree of autonomy where you must build the initial product processes yourself.
The mention of 'distinguishing between one-off feature requests and durable platform opportunities' implies a need to manage heavy pressure from demanding enterprise customers.
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Location: Vancouver, British Columbia, Canada; San Francisco Bay Area
Location Type: Remote
Employment Type: Full-time
Team: Product
Country: CA
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+
Parallel's Mission
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.
The Role
We are hiring a Product Manager to work directly with our Chief Product Officer in managing our suite of simulation and neural reconstruction products. This role will be an exciting blend of hands-on product work, customer interactions, and strategic product roadmapping. This is a highly technical role. Our users are AI developers and our product heavily leverages cutting edge simulation technologies. This role requires expertise in AI development, simulation technologies, product management, and programming. By spending significant time with our customers, including automotive, drone, and robotics companies, you will become an expert in how our customers need to use simulation to accelerate their development of autonomous systems and then put this expertise at work to help Parallel Domain build winning products. This role is ideal for someone who thrives in ambiguous environments, enjoys solving complex technical challenges, and can translate customer needs into scalable product capabilities.
The Work
Work with the Product Team to drive strategy and execution for Parallel Domain's core products, from customer discovery and roadmap definition through launch, adoption, and measurable business impact. Develop a deep understanding of customer workflows across autonomy, robotics, computer vision, and simulation teams, including how customers collect data, train perception systems, evaluate model performance, and validate behavior before real-world deployment. Contribute to roadmap / quarterly planning across Product and Engineering teams. Define and track success metrics for your product area, such as customer adoption, workflow efficiency, data generation throughput, scenario coverage, model performance lift, platform reliability, and revenue impact. Translate complex technical and customer needs into clear product direction, distinguishing between one-off feature requests, underlying workflow problems, and durable platform opportunities. Communicate roadmaps, priorities, experiments, and decisions clearly across a wide spectrum of audiences from internal customers to executives. Create clarity in ambiguous technical domains, breaking down open-ended problems into actionable plans, crisp priorities, and decisions that align customer value, technical feasibility, and company strategy. Represent the voice of the customer internally, bringing evidence-backed product insights to engineering and leadership so the company builds the highest-impact capabilities for the market. Collaborate on launch planning and enablement, including documentation, demos, sales materials, release notes, and internal training that help customers and customer-facing teams get value from new products. Stay close to the evolving autonomy, robotics, synthetic data, and AI infrastructure markets, using industry trends and competitive insights to inform roadmap decisions and identify new product opportunities. Travel to customer sites to better understand workflows, challenges, and product needs.
Required Skills
3+ years of product management experience delivering highly impactful and innovative platform or infrastructure products at scale, ideally with API offerings. Experience working in a B2B enterprise environment. Have a working understanding of machine learning frameworks, embodied AI development, and simulation. Proficiency in Python. Entrepreneurial sense of ownership: leads product development from zero to first release and beyond with full accountability of the outcomes. Proven track record to partner effectively across functions, with the ability to gain shared vision on decisions, resources, and priority trade-offs. Excellent communication skills with the ability to engage both technical and executive stakeholders. Strong analytical and problem-solving abilities. An ability to thrive in open-ended, ambiguous environments, bringing structure to complex problems and turning them into clear plans. Must be willing to travel to sit with customers.
Strong Signals
2+ years as a software developer, engineer, or related technical role. A degree in computer science, engineering, or related field. Experience as a Technical Program Manager, Technical Account Manager, or Customer Engineering Lead at a simulation, developer tools, or autonomous systems company. Familiarity with closed-loop simulation, scenario-based testing, or sensor-in-the-loop workflows.
Additional Information
Salary range depending on experience:
US - $130,000 - $180,000
Canada - CAD$125,000 - CAD$180,000
Parallel Domain builds a platform that generates photorealistic synthetic data and simulation environments to train and validate perception systems for autonomous vehicles, robotics, and AI. Their tools let engineering teams create high-fidelity digital twins and produce diverse, labeled datasets without extensive real-world data collection, significantly accelerating computer vision development. Customers include autonomous vehicle developers and robotics companies that need massive volumes of training data at scale. For product-minded people, this is a compelling space where simulation quality directly determines whether safety-critical autonomous systems can ship.
AI & Machine LearningDeveloper Tools & Infrastructure
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