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Product Manager

Docebo
Toronto, CAN
Full Time
Mid
Hybrid
1 weeks ago
Product ManagementB2B SaaSWorkflow DesignCustomer ResearchData AnalysisStakeholder Management
Free

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Product ManagementB2B SaaSWorkflow Design
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The Adventure Ahead

  • Docebo is building the next generation of Training Management capabilities for instructor led and blended learning at scale.
  • We are looking for a Product Manager to help shape and grow our Training Management product area.
  • This role is ideal for someone with experience on operational B2B SaaS products and complex workflow challenges.

The Day to Day

  • Partner with customers to understand how they plan, schedule, and manage training programs.
  • Translate operational challenges into product requirements and scalable solutions.
  • Drive discovery, prioritization, and delivery for Training Management initiatives.
  • Collaborate with engineering and design to deliver high quality product experiences.
  • Analyze customer feedback, usage data, and market trends to identify opportunities for improvement.
  • Contribute to the evolution of Docebo's Training Management strategy and roadmap.
  • Help modernize and automate administrative workflows associated with instructor led and blended learning.

Your Superpowers

  • 3+ years of Product Management experience in B2B SaaS environments.
  • Experience working on workflow heavy products with multiple stakeholders and business rules.
  • Strong problem solving and analytical skills.
  • Ability to break down complex operational processes into intuitive user experiences.
  • Experience collaborating with engineering and design teams throughout the product lifecycle.
  • Strong communication and stakeholder management skills.
  • Comfortable working directly with customers to validate problems and solutions.

Nice To Have

  • Experience with Training Management Systems such as Administrate, Training Orchestra, Arlo, accessplanit, or similar.
  • Familiarity with instructor scheduling, session management, training operations, or learning technologies.
  • Experience working on products involving calendars, bookings, reservations, scheduling, or optimization workflows.
  • Exposure to AI driven workflow automation.

Our Hybrid Work Philosophy

  • Our team spends three days a week in the office (Tuesday Thursday) to collaborate, solve problems, and learn from each other.
  • With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.

Compensation Range

  • Compensation Range: CAD 118,500 CAD 158,000.

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