27 Aug
|
STACK IT Recruitment
|
Toronto
27 Aug
STACK IT Recruitment
Toronto
Are you a product leader with a strong technical understanding ofAI, machine learning, and datawho enjoys turning complex technology into products that solvereal businessproblems? We’relooking for a Lead Product Manager – AI/ML to join a growing Canadian technology company at the intersection ofmobile data, identity, and digital trust. This is a newly created role focused on building the intelligence layer behind products that supportdigital onboarding, authentication, identity validation, and fraud prevention.You’llwork 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 collaborativeproduct team whereyou’llhave significant autonomy and the chance 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 ofmachine 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 simplymaintainingexisting ones Location: Toronto, ON( Hybrid – 3 days per week onsite , typically Monday–Wednesday) Own the product lifecycle forAI/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 6+ years of experiencein product management, data science, data engineering, analytics, or a related technical discipline, with experience moving into or working closely with product ~ Strong understanding ofmachine learning delivery lifecycles and ML modelling ~ Strong understanding of ML concepts includingprecision, recall, model performance, evaluation, and modelling frameworks ~ Experience taking AI/ML, analytics, or data products fromdiscovery through pilot and into production ~ Strong ability to work with Data Science, Data Engineering, Software Engineering, and other technical teams ~ Experience translating technical capabilities intocustomer problems, product opportunities, and business outcomes ~ Strong communicationskills and the ability to work effectively across technical and business stakeholders ~ Comfortable working in asmall or mid-sized, fast-moving environmentwhere priorities can shift and individuals take on broad responsibilities ~ 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 Medical, dental, and vision benefits to support your overall well-being Employer contributions to a group RRSP program, supporting your long-term financial security 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