Lead product strategy and roadmap for AI and robotics products, translating VLA and agentic RAG breakthroughs into customer value, defining safety/usability/performance metrics, working with enterprise adopters, and driving cross-functional delivery.
We are seeking a dynamic AI/Robotics Product Manager to drive the integration of cutting-edge technologies and transform them into customer-centric solutions. This role will play a pivotal part in defining safety, usability, and performance metrics, while collaborating with enterprise clients to refine robotic and agentic deployments.
Responsibilities:
- Translate deep tech breakthroughs (VLA models, Agentic RAG) into tangible customer value.
- Define safety, usability, and performance metrics for the engineering teams.
- Interface with early enterprise adopters to gather feedback on agentic and robotic deployments.
- Lead cross-functional teams to ensure successful product delivery.
- Develop and maintain a product roadmap that aligns with strategic business goals.
Required Skills:
- Technical background in AI, computer science, or engineering.
- Proven experience shipping complex hardware or deep-tech software products.
- Exceptional ability to communicate complex concepts to both engineers and stakeholders.
- Strong analytical skills and a data-driven decision-making approach.
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What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
