Product Manager (Canada)

Jobright is a next-generation AI job search platform built to make career navigation faster, smarter, and more personal. They are looking for a Product Manager to help shape the AI-powered experiences that guide millions of job seekers through one of the most important decisions of their lives.

Why Join Us

• Own real product surfaces from early in your career, with a direct line from your decisions to how users experience Jobright
• Work at the intersection of AI and product, where new model capabilities open up new product possibilities almost every week
• Learn from senior PMs, engineers, and designers who take product craft seriously and invest in growing new talent

Responsibilities

• Own discrete product areas across the platform, partnering with engineering, design, and applied AI to take ideas from rough concept to launched feature
• Talk to users regularly, dig into product data and agent performance metrics, and use what you learn to decide what to build next and what to cut
• Write clear specs, user stories, and launch plans that give the team a shared understanding of the problem, the solution, and how success will be measured

Qualifications

Required

• Recent grad or early-career professional with 0 to 2 years of experience in product management, product analytics, consulting, or a related field
• Strong communicator and writer who can frame problems sharply and align engineers, designers, and stakeholders around a clear direction
• Solid grounding in product thinking, user research, and the basics of how AI and machine learning systems shape product behavior

Preferred

• Internship or project experience as a product manager, associate PM, or product analyst at a tech or AI-focused organization
• Track record of moving fuzzy problems toward concrete decisions in fast-moving environments where priorities shift week to week
• Hands-on comfort with SQL or analytics tools like Amplitude or Mixpanel, basic familiarity with LLMs and agentic products, and experience running lightweight user research