Sr. Product Manager, Enterprise
- Category: Operator & Technician Jobs
- Location: Toronto, Ontario
- Job Type: Full Time / Part Time
- Salary: Estimated: $ 21K to 23K
- Published on: 2025/09/16
About the role:
We're looking for a Sr. Product Manager, Enterprise, who is passionate about empowering creatives—artists, designers, filmmakers, and content creators—with cutting-edge AI tools. You'll own the end-to-end experience of our creative products, ensuring they're intuitive, powerful, and aligned with the workflows of professional creatives.
This role requires a blend of user empathy, creative domain knowledge, and product strategy. You'll collaborate with product designers, engineers, and marketing to build tools that feel like magic in the hands of users—while solving real-world creative challenges.
Key Responsibilities
User-Centric Vision: Deeply understand the needs of professional creatives—their pain points, workflows, and aspirations—and translate these into product features.
Product Excellence: Ensure the end product is polished, intuitive, and fun to use. Obsess over details like UI/UX, performance, and output quality.
Creative Community Engagement: Build relationships with artists, designers, and creators to gather feedback and inspire product direction.
Cross-Functional Leadership: Work with engineering & research to prioritize the right features, with design to craft seamless experiences, and with marketing to communicate the product's value.
Metrics & Iteration: Define success metrics (e.g., user engagement, output quality) and iterate based on data and feedback.
Who You Are
8+ years in product management, preferably in creative tools, design software, or media/entertainment tech (e.g., Adobe, Canva, Figma, gaming, or AI art tools).
Deep empathy for creatives—you might have a background in design, art, filmmaking, or content creation, or you've worked closely with these users.
Strong aesthetic sense—you can articulate what makes a tool feel "good" to creatives and advocate for polished UX.
Technical curiosity—you don't need to code, but you can discuss AI models, rendering, or performance trade-offs with engineers.
Data-informed but user-obsessed—you balance qualitative insights with quantitative metrics
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