Data Warehouse Backend Developer and Power BI Support

Earnix; Toronto; Hybrid; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Health benefits

RRSP matching

Job summary

Earnix is seeking a Lead Product Manager – AI/ML in Toronto, hybrid (3 days on site). You will own the lifecycle of AI/ML-powered data and trust intelligence products, from discovery through production, working with Data Science, Data Engineering, and Engineering teams to translate complex ML capabilities into customer value.

You will shape the product roadmap, define requirements, and lead pilots and go-to-market strategies for new AI-powered offerings, while establishing success metrics and

Qualifications

• Experience leading AI/ML product initiatives.
• Strong ability to translate ML concepts into customer value.
• Experience collaborating with data science and engineering teams.

Responsibilities

• Own the AI/ML product lifecycle from discovery to production.
• Define requirements and roadmap priorities for data, models, and intelligence features.
• Partner with Data Science and Engineering to move ML models to production.
• Lead pilots and value validation initiatives to shape the roadmap.
• Develop go-to-market strategies and positioning for AI offerings.
• Define success metrics and track model performance and outcomes.
• Collaborate with Sales, Marketing, Finance, Technology to bring products to market.
• Communicate vision, progress, and value to stakeholders.

Job description

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
• Location: Toronto, ON (Hybrid – 3 days per week onsite, typically Monday–Wednesday)
• Job Type: This is a newly created position

Requirements

• 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 roadmapTranslate 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
• 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

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.