iuvo-ai
Marketing Coordinator
Job description
Job duties
– Plan and execute editorial calendar (site, newsletter, LinkedIn, YouTube, etc.).
– Write and adapt B2B content: articles, case studies, web pages, video scripts, posts.
– Turn customer projects into success stories (interviews, information gathering, layout).
– Manage social networks: publication, animation, monitoring, reporting.
– Update the site (CMS) and optimize SEO (keywords, on-page, meshing).
– Set up newsletters/campaigns (segmentation, A/B tests, light automation).
– Produce simple visuals (Canva/Adobe templates) and coordinate with designers as needed.
– Prepare brand assets (tone/voice guides, templates, media library).
– Monitor performance (GA4, Search Console, LinkedIn Analytics) and suggest optimizations.
– Coordinate webinars/events (logistics, invitations, registration pages).
– Ensure brand consistency across all touchpoints.
Job criteria
• Excellent command of written French; fluency in English (reading/writing an asset).
• Eligible to work in Canada.
• Portfolio/samples of content (articles, web pages, posts, visuals) appreciated.
• Comfortable collaborating with technical profiles (engineering/AI) and clients.
Skills required for the position
• B2B web writing and storytelling, simplifying technical topics.
• Basic to intermediate SEO (keyword research, on-page, content optimization).
Behavioral
• Organizational skills, editorial rigor, autonomy, and initiative.
• Results-oriented (KPI for reach, engagement, MQL, qualified traffic).
• Curiosity about AI and active monitoring of market/product trends.
Working hours
Benefits
– Flexible schedule
– Work with a young team (average age 30)
– Freedom, creativity, and autonomy
– Gain knowledge in the field of technology
Other information
Company description
iuvo-ai is a Quebec startup founded in 2022 that helps organizations grow through technology strategies and the implementation of concrete artificial intelligence solutions. We deliver end-to-end projects:
• Optimization & data science (inventory, capacity, forecasting),
• Computer vision (sensors, cameras, video),
• AI engineering (RAG, integrations, process automation).
We have completed notable projects (demand forecasting, personalization engines, computer vision) and support our clients through training and knowledge transfer. Our culture values pragmatism, editorial quality, continuous learning, and the delivery of measurable results.