AI Product Manager

TextLayer; Canada; Remote; CAD 90,000 - 130,000; Full time

Job summary

TextLayer, a leader in AI systems, is seeking an AI Product Manager to oversee the development lifecycle of generative AI applications. This cross-functional role requires a balance of technical insight and business acumen, focusing on delivering AI-powered solutions while collaborating with multiple teams. The ideal candidate brings 3+ years of product management experience and a strong understanding of AI/ML, ready to drive success through iterative improvements and user feedback.

Qualifications

• 3+ years product management experience, preferably in AI/ML.
• Experience managing development lifecycles of AI/LLM applications.
• Strong analytical and communication skills.

Responsibilities

• Define product vision, strategy, and roadmap for AI capabilities.
• Prioritize product roadmap based on market research and customer feedback.
• Collaborate with AI Engineers and stakeholders.

Skills

Analytical capabilities

Communication skills

Problem-solving

Education

Bachelor's degree in relevant field

Advanced degree in relevant field

Job description

About TextLayer
TextLayer helps enterprises and funded startups build, deploy, and scale advanced AI systems, without rewriting their infrastructure.

We provide engineering teams with a modular, stable foundation, so they can adopt AI without betting on the wrong tech. Our flagship stack, TextLayer Core, is maintainable, tailored to the environment, and deployed with Terraform and standardized APIs.

We’re a team on a mission to help power enterprise clients with AI-enabled tools and processes. We’re looking for sharp, curious people who want to meaningfully shape how we build, operate, and deliver.

If you're excited to work on foundational AI infrastructure, ship production-grade systems quickly, and help define what agentic software looks like in practice, we’d love to meet you.

The Role

• We're seeking an AI Product Manager to oversee the development lifecycle of generative AI applications. This role collaborates across teams to ensure alignment between customer needs and AI capabilities, driving iterative improvements based on user feedback and performance metrics. As the bridge between technical teams and business stakeholders, you'll help shape AI-powered solutions and directly impact product success.
  
  This is a cross-functional role: you’ll collaborate closely with engineering, LLM operations, design, and leadership to define requirements, validate features, and guide AI systems from idea to production.

Key Responsibilities

• Define product vision, strategy, and roadmap for AI capabilities (knowledge assistants, insights, task automation)
• Prioritize product roadmap based on market research, customer feedback, and competitive analysis
• Translate customer needs into well-defined requirements for AI engineering teams
• Collaborate with AI Engineers, LLM Operations, UX/UI designers, and stakeholders
• Analyze user feedback and usage metrics to identify improvement opportunities
• Lead testing and validation of AI features to ensure quality and value
• Manage AI initiative backlogs, balancing technical and business priorities
• Monitor industry trends and competitive landscape
• Collaborate on documentation for AI features
• Work with marketing and sales to communicate AI capabilities value
• Apply design thinking techniques for requirement refinement
• Drive AI feature adoption through education and training
• Participate in agile ceremonies with development teams

What You’ll Bring

• To succeed in this role, you’ll need a deep understanding of modern product development—paired with curiosity and empathy for both end users and engineering teams. You should be comfortable translating between technical concepts and business value, and energized by shaping how AI systems are built, shipped, and scaled.

Required Qualifications

• 3+ years product management experience, with AI/ML product focus preferred
• Experience managing development lifecycles of AI/LLM applications
• Familiarity with product discovery techniques and research methodologies
• Knowledge of testing frameworks and analytics tools
• Understanding of LLM operations and monitoring platforms
• Strong analytical and problem-solving capabilities
• Methodical approach with attention to detail
• Excellent communication and stakeholder management skills
• Experience writing clear requirements, user stories, and acceptance criteria
• Ability to translate technical concepts into business value
• Knowledge of agile methodologies and product management practices

Bonus Points

• Experience with industry-specific software or enterprise applications
• Understanding of NLP, large language models, and their applications
• Familiarity with RAG, prompt engineering, and/or agentic AI concepts
• Background in relevant industry domain
• Knowledge of cloud services and architectures
• Experience leading AI initiatives in regulated environments
• Advanced degree in relevant field (experience is also considered)