Lead Product Manager - AI/ML

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. 💻 Who You Are 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 Collaborative, low-ego, and willing to jump in wherever needed Self-directed and accountable, with the ability to take ownership without waiting to be told what to do Curious and motivated by building new products rather than simply maintaining existing ones 📍 Work Type Location: Toronto, ON (Hybrid – 3 days per week onsite, typically Monday–Wednesday) Job Type: This is a newly created position 🎯 What You’ll Do 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 Collaborate across Sales, Marketing, Finance, Technology, and Product to bring products to market Communicate product vision, roadmap, progress, and business value to internal and external stakeholders ⭐ What We’re Looking For 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 Familiarity with supervised, unsupervised, and semi-supervised learning 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 environment where priorities can shift and individuals take on broad responsibilities Strong sense of ownership, accountability, and initiative A collaborative, low-ego approach to working with others Nice to Have 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 Experience in a startup or growth-stage environment Base Salary: $130,000–$155,000 Annual Performance-Based Bonus & Paid Time Off Health & Wellness Benefits: Medical, dental, and vision benefits to support your overall well-being RRSP Matching: Employer contributions to a group RRSP program, supporting your long-term financial security 📩 Ready to Elevate Your Career? Apply Now! At STACK IT Recruitment, we connect top talent with standout opportunities. If you meet at least 70% of the qualifications, we encourage you to apply for it. We’d love to chat! Know someone perfect for this role? Share this with your network, you might just help someone take the next big step in their career. ✨ We’re proud to support diversity and inclusion. Need accommodation during the hiring process? Just let us know; we are here to support you! AI Use Disclosure: STACK IT uses AI-enhanced tools to support initial candidate screening and interview note analysis. All assessments and hiring decisions remain human-led.

The Lead Product Manager will own the product lifecycle for AI/ML-powered intelligence products, defining roadmaps and requirements from concept to production. They will collaborate closely with cross-functional teams including Data Science, Engineering, and Sales to translate technical ML capabilities into practical business value.

Candidates must have 6+ years of experience in product management or a technical discipline with a strong understanding of machine learning delivery lifecycles and modelling. The role requires the ability to translate complex technical concepts into customer solutions and effectively manage stakeholders in a fast-moving environment.

• Medical benefits • Dental benefits • Vision benefits • RRSP matching • Paid time off • Annual performance-based bonus

• Gestion de produitSouhaitée
• Analyse de donnéesSouhaitée
• Apprentissage automatiqueSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Product management
• Machine learning
• Artificial intelligence
• Data science
• Feature engineering
• Data products
• Product roadmap
• Fraud prevention
• Identity validation
• Authentication
• Go-to-market strategy
• Model performance evaluation
• Stakeholder communication
• Technical leadership
• Customer discovery
• Analytics
• Semi-Supervised Learning
• Fraud Prevention
• Go-to-Market Strategy
• Business Problems
• Product Roadmaps
• Accountability
• Product Requirements
• Curiosity
• Time Off Management
• Self-Discipline
• Application Programming Interface (API)
• Artificial Intelligence
• Authentications
• Telecommunications
• Business Valuation
• Software As A Service (SaaS)
• Communication
• Data Engineering
• Finance
• Sales
• Financial Services
• Marketing
• Product Lifecycle Management
• Machine Learning
• Performance Review
• Product Management
• Software Engineering
• Feature Engineering
• Data Science
• Mobile Data

• Technology
• Data & Analytics
• Management & Leadership
• Software
• Engineering
• Lead Product Manager
• Product Manager (General)
• Research and Development Managers
• Marketing Managers

Expérience minimale

6+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Présence au bureau

3 jours par semaine

Exigences de lieu

Country, Canada