Our hiring partner, a premier portfolio of global lifestyle and fashion brands, is seeking a highly strategic Product Manager to lead a dedicated cluster of Agentic AI tools. This individual will be responsible for empowering internal creative and operational teams to achieve new heights of efficiency, accuracy, and artistic expression through the power of Generative AI.

This role involves owning the end-to-end strategy and execution for GenAI applications designed to accelerate the internal product lifecycle. The Product Manager will serve as the critical bridge between business stakeholders and a specialized delivery team of AI imaging experts and software engineers, translating the raw potential of cutting-edge machine learning models into intuitive, production-grade enterprise tools.

The ideal candidate is a master of synthesis, capable of distilling the ambiguity of rapidly evolving AI capabilities into clear, actionable, and iterative product roadmaps. They are simultaneously detail-oriented and creative, balancing strategic foresight with decisive execution. Thriving in cross-functional environments, they possess a deep fluency in generative AI applications and are genuinely energized by the prospect of reshaping how a major fashion retailer visualizes, markets, and presents its products.

Role Responsibilities

1. Lead the Vision: Own the full product lifecycle—from ideation and prototyping to launch and iteration—for GenAI-powered capabilities, operating with a high degree of accountability and clear strategic purpose.
2. Align Stakeholders: Collaborate extensively across Engineering, Data Science, Creative, and Merchandising departments to gather, synthesize, and align diverse requirements, ensuring a clear prioritization of meaningful business and customer objectives.
3. Evaluate the Landscape: Conduct rigorous analyses of emerging GenAI tools and foundational models, assessing factors such as output quality, workflow integration, cost-per-image at scale, and commercial safety to inform critical build, buy, or integrate decisions.
4. Cultivate Innovation: Foster a safe, collaborative, and experimental team culture where data scientists, designers, and engineers feel empowered to test hypotheses quickly, learn from failure, and ship high-quality features with confidence.
5. Design Intuitive Workflows: Translate complex AI capabilities into frictionless, intuitive visual workflows that empower creative and production teams, reducing manual overhead while amplifying human creativity.
6. Define Precise Requirements: Articulate detailed business requirements, user stories, and acceptance criteria that provide clear guidance to cross-functional delivery teams navigating the complexities of AI-powered visual solutions.
7. Anticipate Roadblocks: Proactively identify potential risks, technical constraints, and capability gaps inherent in a fast-moving AI landscape, guiding teams toward pragmatic solutions before these issues become critical blockers.

Role Qualifications

1. Product Experience: A minimum of 3 years of experience building and shipping successful digital products in close collaboration with cross-functional teams of designers, engineers, and data scientists.
2. AI Domain Expertise: Demonstrated hands-on experience working with generative AI tools, image synthesis models, agentic workflows, or related visual AI applications in a professional capacity.
3. Technical Partnership: A proven track record of effectively partnering with data science teams; you must be capable of translating complex model capabilities into practical product requirements and clearly communicating technical trade-offs to non-technical executives.
4. Communication & Storytelling: An exceptional communicator with the ability to navigate ambiguity and articulate a clear, compelling point of view to stakeholders at all levels of the organization.
5. Vendor Evaluation: Experience evaluating and selecting AI/ML tools or external vendors, with a strong grasp of assessing output quality, integration fit, production readiness, and true cost at scale.
6. Ambiguity Comfort: This space moves incredibly fast; the right candidate will thrive in unstructured environments and possess the innate ability to introduce structure, process, and clarity where none currently exists.
7. Passion for Innovation: A deep, genuine passion for Generative AI and its potential to fundamentally transform the product lifecycle and retail landscape.
8. Bonus Experience: Experience within the fashion, retail, or consumer goods sectors is a strong plus, though not strictly required.

The Perks

Our client offers a comprehensive suite of Perks & Benefits to all eligible employees. Availability and eligibility may vary based on employment status and location, but generally include competitive medical, dental, and vision coverage, generous PTO, substantial employee discounts, and robust retirement savings plans.