Product Manager - AI Virtual Coach at Docebo

Toronto, Ontario, Canada

Docebo Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
EdTech, TechnologyIndustries

Requirements

  • 5+ years of experience in product management, preferably in a SaaS or technology-driven environment
  • Experience managing products related to communication platforms, collaboration tools, or coaching/mentoring software is a strong plus
  • Experience launching Generative AI products and confidence around topics such as LLMs, Prompt Engineering, AI Agents, AI content creation and AI Video creation
  • Curious and proactive in learning about emerging technologies and their potential applications, including in generative AI and its applications in product development
  • Knowledge of the fundamentals of Natural Language Processing (NLP), conversational AI, and personalization algorithms is required
  • Proven ability to manage the full product lifecycle, from discovery to delivery and iteration
  • Excellent problem-solving and analytical skills; ability to make data-driven decisions using tools like Pendo, Mixpanel, Amplitude, or similar
  • Strong communication and presentation skills; ability to tailor messages to different audiences
  • Agile development methodologies and product management tools (e.g., Jira, Confluence, Productboard)
  • Familiarity with e-learning, HR tech, or enterprise software is a plus
  • Experience influencing, communicating and building relationships with key stakeholders, including C suite executives, and global distributed teams
  • Must have the ability to communicate complex technical concepts to non-technical audiences

Responsibilities

  • Design and implement AI-based features, such as conversational agents (chatbots), sentiment analysis, and personalized feedback systems
  • Translate the problems of learners, coaches, and managers into requirements that improve the effectiveness and experience of virtual coaching
  • Work closely with AI research, Engineering and Design teams to guide product development from concept through delivery, ensuring quality, usability, and time-to-market goals are met
  • Define the product strategy to scale the impact of personalized training through intelligent automation and data analysis
  • Lead discovery activities such as user interviews, data analysis, and competitor research to deeply understand user needs and inform product direction
  • Continuously prioritize the product backlog based on changing priorities, resource constraints, and new information gathered through feedback loops
  • Collaborate with other Product Managers and the Vice President of Product Line/Division to ensure consistency across product lines and to avoid duplication of efforts or conflicting roadmaps
  • Monitor product performance post-release, using data and customer feedback to assess success and inform continuous improvement
  • Coordinate product launches with cross-functional teams, ensuring documentation, training, and communications are ready to support internal and external stakeholders

Skills

Product Management
AI
Chatbots
Sentiment Analysis
Personalized Feedback
User Interviews
Data Analysis
Competitor Research
Backlog Prioritization
Stakeholder Collaboration

Docebo

Corporate e-learning platform with AI integration

About Docebo

Docebo creates software and support systems to assist businesses in training their employees and stakeholders. Its platform combines various learning methods, such as formal, social, and experiential learning, enhanced by artificial intelligence to make the learning experience more personalized and engaging. This approach sets Docebo apart from traditional learning management systems that focus solely on formal courses. The company primarily targets corporate clients across different industries, recognizing the growing need for effective training solutions in the corporate e-learning sector. Docebo operates on a Software-as-a-Service (SaaS) model, where clients subscribe to access its platform, allowing for flexible usage based on their needs. The company's goal is to provide a comprehensive learning platform that supports continuous employee development and adapts to the evolving demands of the workforce.

Toronto, CanadaHeadquarters
2005Year Founded
$5.6MTotal Funding
IPOCompany Stage
Enterprise Software, EducationIndustries
1,001-5,000Employees

Benefits

Paid Vacation
Employee Stock Purchase Plan
Hybrid Work Options
Remote Work Options

Risks

Dayforce's new LMS launch could increase competition in the e-learning market.
CFO transition might cause temporary instability in Docebo's financial management.
Warburg Pincus's share acquisition may lead to increased influence over company decisions.

Differentiation

Docebo integrates formal, social, and experiential learning methods, enhancing learning personalization.
The platform leverages advanced AI capabilities for dynamic and personalized learning experiences.
Docebo's SaaS model allows scalable and flexible learning solutions for corporate clients.

Upsides

Docebo's partnership with Class Technologies enhances virtual instructor-led training capabilities.
Recognition with nine Brandon Hall Awards reinforces Docebo's leadership in learning innovation.
The alliance with Deloitte supports building robust learning ecosystems for large organizations.

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