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Senior Product Manager

Job in Toronto, Ontario, C6A, Canada
Listing for: Litmus
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    AI Engineer, Product Designer, Data Science Manager, Product Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 CAD Yearly CAD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Overview / Summary

As a Senior AI Product Manager at Litmus Automation, you will lead the development of intelligent capabilities within our edge-to-cloud industrial data platform. You will combine deep product thinking with hands-on AI application knowledge to automate workflows, enhance user experience, and drive innovation across core Litmus products. This role is critical in shaping how AI transforms manufacturing operations through scalable, real-world solutions.

Key Responsibilities
  • Drive end-to-end product lifecycle for AI-enabled features within the Litmus platform, from concept to release
  • Gather and refine product requirements through structured discovery and stakeholder engagement
  • Conduct technical and market research, including hands-on experimentation and prototyping where applicable
  • Partner with cloud providers and system integrators (SIs) to drive joint discovery, validate use cases, and co-develop AI-enabled solutions
  • Evaluate feasibility of AI-driven solutions in collaboration with engineering and cross-functional teams
  • Translate requirements into clear Product Requirement Documents (PRDs), EPICs, and user stories
  • Partner closely with UX teams to rapidly visualize and iterate on product concepts using tools such as Figma
  • Define API considerations and system interactions for scalable AI integrations
  • Communicate product requirements clearly across engineering, QA, and documentation teams, ensuring alignment throughout development
  • Manage release readiness by coordinating with documentation teams and delivering enablement content, including product walkthroughs and demos
  • Foster a culture of collaboration, continuous learning, and innovation across teams
  • Stay current with emerging AI tools, technologies, and industry trends, and apply them to product strategy
  • Promote strong cross-functional teamwork and contribute to a high-performance product culture
Requirements
  • 8+ years of experience in product management within manufacturing and/or enterprise software environments
  • Strong background in software engineering or technical product development
  • Proven experience building or managing AI-powered applications or features
  • Hands-on experience with modern AI tools, frameworks, and technologies
  • Solid understanding of MCP, AI Skills frameworks, and workflow automation concepts
  • Experience creating detailed PRDs, EPICs, and managing agile development processes
  • Proficiency with Figma and strong understanding of UX principles, especially for AI-driven interfaces
  • Ability to work closely with engineering teams on APIs, system design, and technical trade-offs
  • Strong analytical, problem-solving, and communication skills
Nice-to-Have / Preferred Skills
  • Experience with machine learning models and lifecycle management
  • Background in industrial IoT, edge computing, or manufacturing systems
  • Familiarity with data pipelines, model deployment, and inference optimization
  • Experience defining AI-driven product strategy and roadmap
  • Exposure to generative AI, LLMs, or intelligent automation use cases
Location /

Employment Type

/ About Litmus Automation

Location:

Toronto, Canada

Employment Type:

Full-time

Litmus Automation is an Industrial Data Ops company enabling manufacturers to unlock the value of their industrial data. Our edge-to-cloud platform empowers organizations to connect, collect, analyze, and act on data at scale - driving efficiency, agility, and innovation. At Litmus, you’ll work on cutting-edge technologies at the intersection of IoT, AI, and industrial automation, helping transform how the world’s leading companies operate.

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Position Requirements
10+ Years work experience
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