Are you a product leader with a strong technical understanding of AI, machine learning, and data who enjoys turning complex technology into products that solve real business problems? We’re looking for a Lead Product Manager – AI/ML to join a growing Canadian technology company at the intersection of mobile data, identity, and digital trust. This is a newly created role focused on building the intelligence layer behind products that support digital onboarding, authentication, identity validation, and fraud prevention.

You’ll work closely with Data Science, Engineering, Sales, Marketing, and customers to take ML/AI solutions from concept and pilots through to production. This is an opportunity to join a collaborative product team where you’ll have significant autonomy and the opportunity to help shape both the product roadmap and the company’s approach to AI-powered products. A technically strong product professional with a solid understanding of machine learning, AI, and data Comfortable working with technical teams on ML delivery, modelling, feature engineering, and data products Able to take complex technical concepts and translate them into clear customer and business value Someone who enjoys moving between technical, business, and customer conversations Comfortable working in a growing environment where priorities can shift and you may need to wear multiple hats Curious and motivated by building new products rather than simply maintaining existing ones Location: Toronto, ON ( Hybrid – 3 days per week onsite , typically Monday–Wednesday) Own the product lifecycle for AI/ML-powered data and trust intelligence products Define product requirements and roadmap priorities across feature engineering, feature stores, models, and intelligence products Work closely with Data Science, Data Engineering, and Engineering teams to move ML models from development through production Lead customer discovery, pilots,



and proof-of-value initiatives and use learnings to shape the product roadmap Translate technical ML capabilities into practical products and use cases for customers Develop go-to-market strategies and product positioning for new AI-powered offerings Define product success metrics and work with technical teams to evaluate model performance and customer outcomes 6+ years of experience in product management, data science, data engineering, analytics, or a related technical discipline, with experience moving into or working closely with product ~ Strong understanding of machine learning delivery lifecycles and ML modelling ~ Strong understanding of ML concepts including precision, recall, model performance, evaluation, and modelling frameworks ~ Experience taking AI/ML, analytics, or data products from discovery through pilot and into production ~ Strong ability to work with Data Science, Data Engineering, Software Engineering, and other technical teams ~ Experience translating technical capabilities into customer problems, product opportunities, and business outcomes ~ Strong communication skills and the ability to work effectively across technical and business stakeholders ~ Comfortable working in a small or mid-sized, fast-moving workplace where priorities can shift and individuals take on broad responsibilities ~ Experience in fraud analytics, financial services, SaaS, identity, authentication, or telecommunications Experience with onboarding, fraud prevention, risk, identity verification, or decisioning products Experience working with proprietary or large-scale data products Experience building or managing products involving APIs, data platforms, scoring models, or decisioning systems Annual Performance-Based Bonus & Paid Time Off Health & Wellness Benefits: Medical, dental, and vision benefits to support your overall well-being Employer contributions to a group RRSP program, supporting your long-term financial security We’d love to chat!

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AI Use Disclosure: STACK IT uses AI-enhanced tools to support initial candidate screening and interview note analysis.

📌 Lead Product Manager - AI/ML (Toronto)
🏢 STACK IT Recruitment
📍 Toronto