Product Lead
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Key skills for this role
About the Role
Publicis Groupe seeks a Product Lead to define and drive the roadmap and execution of AI-powered products including micro-services, data pipelines, and APIs. The role involves leading a team of Product Managers, setting product strategy, and collaborating with technology and delivery teams.
Key Skills for This Role
Responsibilities
- Define and communicate the product strategy across multiple product lines
- Build and maintain a long term roadmap that sequences feature development across agents, data systems, media tools, and integration layers
- Lead and manage a team of Product Managers, providing mentorship, guidance, and performance feedback
- Own and define the product backlog, ensuring all user stories are clear, prioritized, and aligned to strategy
- Translate complex technical workflows into actionable requirements and acceptance criteria
- Partner with Technology and Data leads to validate feasibility, trade offs, sequencing, and architectural fit
- Work with Delivery Lead to establish delivery plans, sprint commitments, and release readiness
- Conduct deep user discovery through interviews, pilots, feedback loops, live tests, and analytics
- Communicate product vision and rationale regularly to internal and external stakeholders
- Establish success metrics, KPIs, and measurement frameworks that track product performance and user value
Requirements
- 6–10+ years of experience in product management or ownership, ideally with AI, data, or platform products
- 4+ years of experience with AI/ML or data driven products
- Proven experience managing and developing high performing product teams
- Strong leadership skills with ability to inspire, coach, and influence across multiple stakeholders
- Strong understanding of AI/ML concepts (LLMs, RAG, agents, data pipelines)
- Demonstrated experience operating within Agile frameworks (Scrum or Kanban)
- Comfortable discussing data flows, APIs, integrations and AI systems at high level
- Strong ability managing ambiguity, complexity and competing priorities
- 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
Full Job Posting
Role Overview
- The Product Lead will define and drive the roadmap, and execution of a product composed of intelligent micro services, 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.
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 work streams.
- 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.
Team Leadership & People Management
- 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.
Product Vision & Strategy
- Define and communicate the product strategy across multiple product lines.
- Build and maintain a long term roadmap that sequences feature development across agents, data systems, media tools, and integration layers, while ensuring alignment of priorities across product teams.
- Partner with business stakeholders to define requirements and translate complex workflows into clear requirements and acceptance criteria.
- 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 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.
- 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 data team & Technology lead in translating business goals into data modelling and transformation 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.
- Establish feedback loops, integrating production learnings back into product and engineering as well as ML workflows.
Requirements
- 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.
- Proven experience managing and developing high performing product teams.
- Strong leadership skills with the ability to inspire, coach, and influence across multiple stakeholders.
- 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.
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