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Publicis Groupe

Runs advertising and digital transformation services

Product Lead

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeToronto, ON, CanadaCA$140k - CA$160k /yrIn-person

About the Job

Requirements

  • Six to ten or more years of experience in product management or product ownership, ideally with AI, data, or platform products.
  • Four or more years of experience with AI/ML or data-driven products.
  • Proven experience managing and developing high-performing product teams.
  • Strong understanding of AI/ML concepts, including large language models, retrieval-augmented generation, agents, and data pipelines, and how they translate into user value.
  • Experience operating within Agile frameworks such as Scrum or Kanban, including backlog prioritization, sprint planning, and close collaboration with a cross-functional development team.
  • Ability to discuss data flows, APIs, integrations, and AI systems at a high level.
  • Experience writing clear, detailed user stories and acceptance criteria for complex technical systems.
  • Hands-on experience with Agile methodologies, backlog management, and cross-functional delivery.
  • Familiarity with user research, product analytics, and data-informed decision-making.

Responsibilities

  • Define and communicate product strategy across multiple product lines.
  • Build and maintain a long-term roadmap sequencing feature development across agents, data systems, media tools, and integration layers, while aligning priorities across product teams.
  • Partner with business stakeholders to define requirements and translate complex workflows, including media ingestion, data processing, agent logic, and analytics, into clear requirements and acceptance criteria.
  • Establish success metrics, key performance indicators, and measurement frameworks to track product performance, user value, and business impact.
  • Own and define the product backlog, ensuring user stories are clear, prioritized, and aligned with product strategy.
  • Translate technical workflows, including data ingestion, agent orchestration, media processing, and analytics, into actionable requirements and acceptance criteria.
  • Balance feature scope, usability, technical feasibility, and business impact to deliver high-value outcomes.
  • Define release goals and intentions, manage trade-offs, and ensure backlog readiness for iterative delivery.
  • Partner with Technology and Data leads to validate feasibility, trade-offs, sequencing, and architectural fit.
  • Support team members through guidance and regular check-ins, and proactively remove roadblocks to maintain momentum and delivery quality.
  • 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.
  • Support the Data team and Technology lead in translating business goals into data-modeling and transformation requirements.
  • Participate in hiring Product Owners, Business Analysts, and CSMs as the team scales.
  • Conduct user discovery through interviews, pilots, feedback loops, live tests, and analytics.
  • Communicate product vision, applicable trade-offs, and rationale to internal and external client stakeholders.
  • Manage stakeholder expectations and provide frequent, clear updates on progress, risks, and impacts.
  • Build relationships with end users to ensure the product aligns with their use cases and workflows.
  • Validate features through structured testing, user acceptance, and performance checks, ensuring functional quality and AI-specific reliability standards.
  • Coordinate with the Technology lead to prioritize technical debt, scalability, and workflow improvements in the roadmap.
  • Establish feedback loops that integrate production learnings into product, engineering, and ML workflows.
  • Lead and manage a team of Product Managers, providing mentorship, guidance, and performance feedback.
  • Foster a culture of innovation, accountability, and continuous improvement within the product organization.

Desired Qualifications

  • Experience with AI, data, or platform products is preferred.

About the Company

Publicis Groupe

Runs advertising and digital transformation services

Publicis Groupe runs advertising, media buying and digital transformation services for companies that want to reach consumers, coordinate campaigns and improve their business systems. Its agency network includes creative and media specialists, while Publicis Sapient builds and modernizes the technology behind clients' operations. Epsilon adds customer data and marketing technology that connect brands with audiences and measure campaign results. Clients pay for consulting, campaign creation and execution, with production and media costs billed through alongside the group's service work. Founded in 1926, Publicis Groupe is headquartered in Paris, France.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1926

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