
Senior Product Manager – AI Systems
Mod Op
full-time
Posted on:
Location Type: Hybrid
Location: Toronto • Canada
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Salary
💰 CA$110,000 - CA$130,000 per year
Job Level
About the role
- Set the vision and roadmap for Mod Op’s AI agent architecture—defining how individual and networked agents automate and augment workflows across creative, strategy, media, and analytics.
- Develop go-to-market strategy, plan and execute the GTM launch strategy. (positioning, pricing and messaging)
- Maintain a dynamic product roadmap that supports modular innovation, enabling combinations of agents to power bespoke client solutions.
- Collaborate with clients and internal stakeholders to co-create new ways of working—where AI augments human creativity and decision-making to deliver differentiated value.
- Use deep understanding of CRM, marketing automation, and data platforms to design productized innovations that automate workflows and improve access to data and insights.
- Build and prioritize products and complex product roadmaps, setting priorities and delivering on-time solutions.
- Translate strategic concepts into actionable product experiences and MVPs.
- Collaborate with IT, data engineers, architects, and data scientists to design solutions within scalable and secure environments.
- Partner with engineering, design, and data science to ensure solutions are scalable, secure, and aligned with business outcomes.
- Develop frameworks for agent evaluation and observability, ensuring quality, accuracy, and compliance across multi-agent interactions.
- Collaborate with product owners, business leaders, and clients to baseline processes and workflows through marketing technology stacks.
- Leverage data for informed decisions on product direction, pricing strategy and technical trade-offs.
Requirements
- 5+ years in GTM product management or product-building roles (B2B, Ecommerce, SaaS, AI, automation environments).
- Advanced degree in Computer Science, AI, Machine Learning, or related field is highly desirable.
- Expertise in Agile/Scrum and iterative product delivery.
- Technical proficiency in product architecture and MVP development.
- Proven experience architecting data-driven platforms, or agentic platforms that integrate with APIs, and enterprise integrations.
- Experience defining KPIs, analyzing user feedback, and iterating products responsibly with awareness of security and compliance.
- Knowledge of AI agent orchestration, retrieval-augmented generation (RAG), and LLM-based automation pipelines.
- Skilled in workflow automation, data architecture, and platform scalability principles.
- Familiarity with AI prototyping tools (Cursor, Claude Code) and design collaboration platforms (Figma, GitHub).
- Proven ability to manage cross-functional teams drive strategic vision.
- Passion for exploring how AI, creativity, and human behavior intersect to transform how brands connect with audiences.
- Strong analytical and problem-solving skills, especially related to cost-benefit analysis and ROI tracking.
- Ability to translate complex technical systems into elegant, outcome-focused product experiences.
- Strong leadership, communication, and collaboration skills with stakeholders and team members.
Benefits
- Flexible, hybrid work arrangements.
- Annual company shutdown during the holiday season.
- Frequent studio-wide social events.
- Budget and time allotted for professional development.
- Commitment to wellbeing and work life balance.
- Competitive health and dental benefits package.
- Group RRSP Matching program
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
GTM product managementproduct architectureMVP developmentAgileScrumdata-driven platformsAI agent orchestrationworkflow automationdata architectureplatform scalability
Soft Skills
analytical skillsproblem-solving skillsleadership skillscommunication skillscollaboration skillsstrategic visionability to manage cross-functional teamspassion for AI and creativityability to translate complex systemsiterating products responsibly
Certifications
advanced degree in Computer Scienceadvanced degree in AIadvanced degree in Machine Learning