Staff Data Product Manager (Machine Learning)

Location: Remote anywhere in Canada except Quebec

Salary: CA$164K–CA$248K

Company

hirify.global provides clarity for financial decisions by using machine learning to understand consumers, personalize experiences, and connect them with suitable financial products.

What you will do

• Own and prioritize the company-wide ML product roadmap across business verticals, balancing impact, feasibility, and engineering capacity.
• Partner with Data Science, ML Engineering, Data Engineering, Product Engineering, and business teams to turn ambiguous problems into model objectives, technical requirements, and measurable success criteria.
• Guide predictive models from idea through production, consumer experiences, real-time decisioning systems, and business workflows.
• Evaluate modeling trade-offs, ground truth, training data quality, precision/recall, feature strategy, model serving, feature pipelines, inference modes, latency, and production dependencies.
• Define and monitor predictive, reliability, adoption, and business-outcome metrics; use experiments, A/B tests, and causal measurement to demonstrate incremental impact.
• Set the long-term vision for ML products, influence without formal authority, communicate trade-offs to senior stakeholders, and mentor product managers and partners.

Requirements

• 7+ years in Data Product Management, Data Science, Machine Learning, or a related technical field, including a track record of shipping production ML or data products.
• Deep applied ML fluency covering training data, ground truth, loss functions, precision/recall, overfitting, and model evaluation.
• Strong understanding of ML platforms and infrastructure, including model serving, feature pipelines, batch versus real-time inference, latency trade-offs, and deployment workflows.
• Experience partnering directly with Data Scientists and ML Engineers to challenge assumptions and navigate complex dependencies.
• Experience with modern data and ML tools such as Databricks, Snowflake, AWS, or similar.
• Strong business sense and ability to connect ML work to revenue growth, customer lifetime value, conversion, and marketing efficiency.
• Excellent communication and cross-functional leadership, including influencing technical and business stakeholders without formal authority.
• Bachelor’s or advanced degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, or equivalent practical experience.

Culture & Benefits

• Remote-first work with benefits supporting physical, financial, and emotional well-being.
• Monthly healthcare, wellness, Wi-Fi, cell phone, and work-from-home equipment stipends.
• Vacation time, public holidays according to the employee’s province, and a paid sabbatical.
• RRSP with a 4% match, eligible one month after hire, plus financial wellness guidance and access to a Certified Financial Planner through Northstar.
• Employee resource groups, hackathons, team events, company-wide events, and charitable initiatives.