Hybrid Staff AI/ML Product Manager

at Quandri

• Job title: Staff AI/ML Product Manager
• Job type: Full Time
• Experience level: Lead
• Salary: CA$170,000 - CA$200,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python, SQL
• Location requirements: Hybrid, Vancouver, Canada

About the role

• AI/ML Product Manager at Quandri responsible for product lifecycle of machine learning features. Managing AI capabilities and driving execution excellence across multiple projects in the insurance sector.

Responsibilities

• Execute Intelligence platform roadmap and contribute meaningfully to 2026 planning based on customer insights and technical learnings. Own requirements gathering with deep problem understanding, uncovering root needs beyond surface-level requests. Design product experiences that build user trust in AI through transparency, explainability, and graceful failure handling.
• Serve as the primary interface between the Intelligence engineering team and Product, Implementation, Sales, Marketing, and Leadership teams. Filter and prioritize incoming requests from 3 product teams to protect engineering focus while addressing critical needs. Facilitate feedback loops to collect ground truth data, stakeholder validation, and user insights.
• Partner with the Director of Engineering on project planning and delivery tracking across 3-4 parallel initiatives. Drive iterative development cycles with rapid feedback incorporation, shipping incremental value rather than waiting for perfection. Coordinate data labeling and ground truth collection efforts to improve model accuracy and validate product improvements.
• Engage with engineers on architecture, data pipelines, and model performance without needing to code. Translate model performance metrics (accuracy, precision, recall) into business impact. Understand ML product lifecycle including data requirements, model training and validation, feedback loops, and continuous learning systems.
• Build feedback loops to continuously improve intelligence capabilities based on ground truth data and user insights. Identify opportunities to leverage intelligence across multiple products and create incremental value through shared learning. Support strategic product decisions with technical insights from hands-on execution

Requirements

• 5+ years of product management experience with proven track record of shipping products with measurable business impact in fast-paced environments
• 2+ years shipping ML/AI products with demonstrated understanding of the ML product lifecycle from data collection through model deployment and iteration
• Platform product experience with background working on products or features that serve multiple internal or external customers and managing competing stakeholder needs
• Strong technical aptitude with comfort working in SQL, ability to read Python code, and solid understanding of ML fundamentals including model evaluation and data quality requirements.
• Complex stakeholder management with proven ability to navigate conflicting priorities across multiple teams and organizational levels.
• Excellent communication skills with ability to explain technical concepts to business audiences and translate business needs into actionable technical requirements.
• Bias toward action with comfort operating in ambiguous environments and making decisions with imperfect information

Benefits

• Comprehensive health benefits, including Lifestyle Spending Account
• Four weeks of paid vacation per year
• Work anywhere in the world for 60 days of the year
• Parental leave top-ups: 6 months for birthing parents, 8 weeks for non-birthing parents (up to $100,000 annual salary)