Company Description
Publicis Groupe Canada is the Canadian subsidiary of Publicis Groupe, the second largest communications group in the world and a global leader concentrated within four main activities: Communication, Media, Data and Technology. Publicis Groupe Canada represents the vision of a set of collaborative and integrated agencies that offer expertise and insightful services to many of the biggest brands in North America.
Publicis Groupe Canada is committed to its Diversity, Equity and Inclusion mandate which focuses on four pillars: Education, Talent Management, Outreach and Giving Back. Since the mandate's launch in 2020, they have made strong and continued growth in all their pillars including top-tier mental health benefits, regular education sessions for employees, six business resources groups for employees of various backgrounds and their allies and developing training and scholarships programs with POV and the Miami Ad School Canada. The Groupe also launched This Is The Job, an initiative designed to work with Canada's largest school boards to change the complexion of the marketing industry and inspire racialized teens and young adults to consider a career in the industry.
Canadian brands include: Publicis Canada (Publicis Canada, Hawkeye, Razorfish, Publicis Health, ThePubProductions, Nurun, Publicis Sports & Entertainment), Publicis Media (Starcom, Spark Foundry, Zenith), Leo Burnett (Leo Burnett Canada, Ove Brand Design, Leo Burnett Design), Saatchi & Saatchi (Saatchi & Saatchi Canada, Synergize, TPM),MSL Canada/North Strategic (North Strategic, MSL Canada, Notch Canada) and Publicis Sapient.
Job Description
The Product Lead will define and drive the vision, roadmap, and execution of a product composed of intelligent microservices, data pipelines, media processing workflows, and interconnected APIs. This role is responsible for translating business goals and user needs into clear, actionable product direction, ensuring our AI tools deliver measurable value to teams and clients.
You will work closely with Technology, Delivery, Data/ML, Design, our executive team and external partners to shape what gets built, why it matters, and how it drives outcomes. You’ll ensure the product evolves with a strong point of view and a consistently high bar for quality, usability, and performance.
What Success Looks Like (First 6 Months)
- A clear and validated product that aligns with business goals and internal user needs.
- A well-organized backlog and roadmap that provide structure to all build workstreams.
- Strong collaboration rhythms in place with Technology, Delivery, and executive stakeholders.
- Early features released with measurable value demonstrating user adoption, improved workflow efficiency, or media/data quality gains.
- Continuous feedback loops established, informing future releases and enabling rapid iteration.
Responsibilities
Product Vision & Strategy
- Partner with business stakeholders to define requirements andtranslate complex workflows media ingestion, data processing, agent logic, analytics into clear requirements and acceptance criteria.
- Build a long-term roadmap that sequences feature development across agents, data systems, media tools, and integration layers.
- Establish success metrics, KPIs, and measurement frameworks that track product performance user value & business impact
Backlog Ownership & Requirements
- Own and define the product backlog, ensuring all user stories are clear, prioritized, and aligned to the product strategy.
- Translate complex technical workflows data ingestion, agent orchestration, media processing, analytics into actionable requirements and acceptance criteria.
- Continuously balance feature scope, usability, technical feasibility, and business impact for high value outcomes
- Define release goals/intentions, manage trade-offs, and ensure backlog readiness to support an iterative and dependable delivery.
Cross-Functional Collaboration
- Partner with the Technology & Data leads to validate feasibility, trade-offs, sequencing, and architectural fit.
- Supports team members through clear guidance, regular check-ins, and proactive removal of roadblocks to maintain momentum and quality delivery.
- Work with the Delivery Lead to establish delivery plans, sprint commitments, and release readiness.
- Collaborate with design to ensure the platform is intuitive, accessible, and user‑centric across all components
- Support data team & Technology lead intranslatingbusinessgoalsintodata modelling andtransformation requirements
- Participate in hiring efforts for Product Owners, Business Analysts and CSMs as the team scales
User & Stakeholder Engagement
- Conduct deep user discovery through interviews, pilots, feedback loops, live tests, and analytics.
- Communicate product vision, and any applicable trade‑offs, and rationale regularly to internal and external (client) stakeholders
- Manage expectations and provide frequent, clear updates on progress, risks, and impacts.
- Build strong relationships with end‑users to ensure the product aligns with their real world use cases and workflows
Quality, Validation & Continuous Improvement
- Validate features through structured testing, user acceptance, and performance checks ensuring outputs meet functional and quality and AI‑specific reliability standards.
- Coordinate with technology lead to prioritize technical debt, scalability, and workflow improvements as part of the ongoing roadmap.
- Establish feedback loops, integrating production learnings back into product and engineering as well as ML workflows.
Qualifications
- 6–10+ years of experience in product management or ownership, ideally with AI, data, or platform products
- 4+ years of experience AI/ML or data driven products
- Strong understanding of AI/ML concepts (LLMs, RAG, agents, data pipelines) and how they translate into real user value.
- Demonstrated experience operating within Agile frameworks (Scrum or Kanban) including backlog prioritization, sprint planning, and close collaboration with a cross‑functional development team
- Comfortable discussing data flows, APIs, integrations and AI systems high‑level.
- Strong ability managing ambiguity, complexity and competing priorities
- Experience writing clear, detailed user stories and acceptance criteria for complex technical systems.
- Strong analytical and communication skills, able to present clearly across technical and business audiences.
- Hands‑on experience with agile methodologies, backlog management, and cross‑functional delivery.
- Familiarity with user research, product analytics, and data‑informed decision‑making.
- You can tackle anything thrown your way. You are excited by figuring out things they’ve never done before. You do not have “that’s not my job” in their vocabulary.
Additional Information
Publicis Canada is committed to building a diverse workforce representative of our community. We encourage and are pleased to consider all qualified candidates, without regard to race, colour, citizenship, religion, sex, marital / family status, sexual orientation, gender identity, aboriginal status, age, disability or persons who may require an accommodation, to apply. If you require a specific accommodation please contact Human Resources at 416‑925‑7733 or by email atinquiries@publicisna.com