Senior Product Manager

Ovii's Interpretation of the Role

Senior Product Manager driving AI‑enabled features on Litmus' edge‑to‑cloud industrial data platform. Owns the full product lifecycle, partners with engineering, UX and cloud partners, and translates market and technical research into release‑ready solutions.

Role Snapshot

• Lead AI feature development
• Own end‑to‑end product lifecycle
• Drive stakeholder discovery & requirements
• Collaborate with engineering, UX and cloud partners
• Define API & integration strategy
• Deliver release enablement and demos

Must-Have Requirements

• Product management (8+ years)
• Software engineering or technical product development background
• AI‑powered application experience
• Hands‑on modern AI tools/frameworks
• Understanding of MCP, AI Skills frameworks, workflow automation
• PRD, EPIC, user story creation and agile process management
• Figma proficiency and UX principles for AI interfaces
• API design collaboration with engineering
• Strong analytical, problem‑solving, communication
• product management
• manufacturing or enterprise software
• AI product development

Nice-to-Have Signals

• Machine learning model lifecycle management
• Industrial IoT / edge computing background
• Data pipelines, model deployment, inference optimization
• AI product strategy and roadmap definition
• Exposure to generative AI, LLMs, intelligent automation
• machine learning model lifecycle
• industrial IoT / edge computing
• industrial IoT
• edge computing

Work Setup

• Location: Toronto, Canada
• Work mode: HYBRID
• Remote scope: UNSPECIFIED
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Education requirement
• Certifications
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Define and execute the product roadmap for AI‑enabled capabilities, from concept through release.
• Conduct technical and market research, prototype AI solutions, and validate use cases with cloud providers and system integrators.
• Translate research and stakeholder input into clear PRDs, EPICs, and user stories for engineering teams.
• Partner with UX designers to prototype and iterate AI‑driven interfaces using tools like Figma.
• Specify API contracts and system interactions to ensure scalable AI integration across the platform.
• Coordinate release readiness, documentation, enablement content, and product demos.
• Stay current on emerging AI technologies and apply insights to product strategy.

Good Fit If You Have

• Experience with generative AI or large language models is a plus.
• Background in industrial IoT, edge computing, or manufacturing systems is advantageous.
• Familiarity with data pipelines, model deployment, and inference optimization helps.