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Technical Product Manager - AI

  • Canada

Expected Compensation: C$120,000 - C$140,000 · Full-time

This opening has closed.

The original listing is kept below for reference.

Job details

Pay
Expected Compensation: C$120,000 - C$140,000
Job type
Full-time
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Whether you’re an experienced professional or just getting started, your contributions matter at Fortra. If you’re passionate about tackling meaningful challenges alongside talented team members committed to helping each other succeed, all while having lots of fun, we want to hear from you. We offer competitive benefits and salaries, personal and professional development opportunities, flexibility, and much more!

We are seeking a strategic and driven AI Product Manager to join our team at Fortra. This role combines market, customer, and technical leadership to define, build, and launch AI-powered software products. Primary responsibilities include AI market analysis, product strategy, product planning, responsible AI delivery, product release and launch.

What You'll Do

Market Analysis

  • AI Trend Analysis, monitoring advances in artificial intelligence, machine learning, generative AI, agentic workflows, and the evolving regulatory landscape to identify opportunities and risks
  • Develop hands-on, in-depth knowledge of AI products and maintain analysis of their capabilities, model approaches, data practices, strengths, and limitations

Product Strategy

  • Conduct market research, customer interviews, and usability studies to identify high-value AI use cases and unmet needs across target segments
  • Evaluate data, model, platform, security, and partner capabilities to determine the most effective path to deliver an AI solution (build, buy, or partner)

Product Planning

  • Define priority user workflows and translate validated problems into clear product requirements, including AI behavior, data needs, quality expectations, and human-in-the-loop experiences
  • Define and manage AI product roadmaps, balancing customer value, technical feasibility, and responsible AI considerations
  • Establish success metrics and evaluation plans for AI experiences, including quality, adoption, reliability, safety, and business impact
  • Partner with engineering, data science, design, security, and legal teams to drive AI product development to on-time, high-quality completion

Product Release & Launch

  • Lead and support customer pilots, beta testing, and launch readiness for AI-powered products and features. Document feedback, monitor quality and safety signals, and recommend improvements
  • Train Sales and Partners on AI product use cases, capabilities, limitations, and responsible-use guidance

Subject Matter Expert

  • Provide market, solution, and responsible AI guidance to support Marketing, Sales, Customer Success, and Technical Support content planning
  • Other duties as assigned

Qualifications

  • Bachelor's Degree in a technical, business, or related field, or equivalent professional training or certificate
  • 5-10 years of product management, software development, data, or AI/ML product experience in an enterprise software company
  • Working knowledge of AI/ML and generative AI concepts, including model capabilities, limitations, evaluation, and data considerations
  • Strong problem-solving skills along with excellent verbal and written communication skills; ability to explain AI concepts clearly to technical and nontechnical audiences
  • Ability to effectively and productively interface with customers and translate customer needs into actionable AI product requirements
  • Experience leading cross-functional teams that include engineering, data science or machine learning, design, security, legal, product, sales, and marketing staff

This position requires proficiency in English to interact, support and/or provide services to non-French speaking customers, employees and/or partners inside and/or outside the province of Quebec. We are an equal opportunity employer and encourage applications from candidates of all backgrounds. We do not require “Canadian work experience”; all relevant experience will be considered. This posting is for a new position.

Expected Compensation: C$120,000 - C$140,000

At Fortra, we’re breaking the attack chain. Ready to join us? Visit our website to learn more about why employees choose to work for Fortra. Remember to connect with us on LinkedIn.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, veteran or disability status.
More about this job

Responsibilities

Analyze AI markets and customer needs, define product strategy and roadmaps, and translate validated use cases into requirements for AI-powered software. Lead cross-functional development, responsible AI delivery, customer pilots, launches, and enablement for sales and partner teams.

Requirements

Requires a bachelor's degree in a technical, business, or related field, or equivalent professional training or certificate, and 5–10 years of relevant product, software, data, or AI/ML experience. Candidates should understand AI/ML and generative AI concepts, communicate clearly with technical and nontechnical audiences, translate customer needs into requirements, and lead cross-functional teams.

Skills

  • AI Product Management
  • Market Analysis
  • Product Strategy
  • Product Planning
  • AI/ML
  • Generative AI
  • Responsible AI
  • Customer Research
  • Product Roadmapping
  • Product Requirements
  • AI Evaluation
  • Cross-Functional Leadership
  • Customer Interviews
  • Usability Studies
  • Product Launch
  • Stakeholder Communication

Benefits

  • Competitive Benefits
  • Competitive Salaries
  • Personal and Professional Development Opportunities
  • Flexibility

Visa sponsorship

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Categories

  • Technology
  • Management & Leadership
  • Software
  • Data & Analytics

Keywords

  • Artificial Intelligence
  • Machine Learning
  • Generative AI
  • Agentic Workflows
  • AI Product Management
  • Market Analysis
  • Product Strategy
  • Product Roadmaps
  • Product Requirements
  • Responsible AI
  • AI Evaluation
  • Model Capabilities
  • Data Practices
  • Data Science
  • Enterprise Software
  • Customer Interviews
  • Usability Studies
  • Human-in-the-Loop
  • Quality Metrics
  • Reliability
  • AI Safety
  • Customer Pilots
  • Beta Testing
  • Product Launch
  • Cross-Functional Teams
  • Security
  • Regulatory Landscape
  • Build-Buy-Partner Analysis

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