Product Manager - AI - TI240725

emergiTEL Inc.; Toronto; Hybrid; CAD 80,000 - 120,000; Full time

Job summary

A tech company specializing in AI products is seeking an experienced Product Manager to define training data and lead AI product roadmaps. The ideal candidate has over 5 years of product management experience and a strong background in AI/ML. This role involves collaboration with data science teams and user testing to validate solutions. A familiarity with tools like Python is a plus.

Qualifications

• 5+ years of progressive product management experience.
• Prior experience managing AI/ML-enabled products.
• Familiarity with tools like Python and ML frameworks.

Responsibilities

• Collaborate with data science teams to define training data and model goals.
• Own the roadmap and market adoption for AI products.
• Conduct user testing and interviews to validate solutions.

Skills

Product management

Collaboration with data science teams

User testing

Tools

Python

ML frameworks

Job description

Responsibilities

• Collaborate with data science teams to define training data, model goals, and evaluation metrics
• Own the roadmap, execution, and market adoption for one or moreAIproducts, building a long-termAIstrategy and future vision that aligns with evolvingproductand business goals.
• IdentifyAI/ML opportunities that align withproductstrategy, translatingAIcapabilities into user-friendlyproductfeatures
• Prioritize features based on business impact, feasibility, and technical constraints
• Conduct user testing and customer interviews to uncover pain points, gather feedback, andvalidate solutions
• Ensure that everyAIexperience released to the market is accurate, safe, and aligned withcompany values, including the ethical use of data

Qualifications

• 5+ years of progressiveproductmanagementexperience
• Prior experience managingAI/ML-enabled products, with a proven track record of developingcompelling, effectiveAIproductstrategy translating to an executableproductroadmap
• Experience working closely with data scientists and ML engineers
• Familiarity with tools like Python and ML frameworks a plus
• Experience balancing tradeoffs across UI/UX, data availability,AIcapability, and technicalcomplexity
• Comfort operating with ambiguity, autonomy, and responsibility