Sr. Product Manager

Bachelor's degree, or a combination of relevant education, experience, and training
Strong product management expertise, including leading an end-to-end product or platform vision and a multi-year roadmap with Engineering teams and business partners
Experience building B2B commerce, order management, or enterprise sales tools used by internal sales teams or business customers
Hands-on experience shipping AI/ML-powered product features, such as recommendations, forecasting, or decision support. You should be able to frame the problem, define success metrics, and work with Data Science on model inputs and tradeoffs
Experience partnering with all stakeholders to understand business needs, outcomes, and value, and making sure roadmaps stay aligned to them
Experience building roadmaps that account for dependencies across functional areas and domains, including technical enablement work as part of the platform strategy
Experience on Agile teams following Scrum, using JIRA, and running day-to-day product activities (Daily Scrum, Backlog Refinement, Planning, and Review)
Experience with communications, senior management reporting, and business presentations
Experience working with cross-functional teams in a fast-moving environment, on both global and country-specific solutions
Strong analytical, problem-solving, and data visualization skills
Excellent communication skills, with the ability to explain technical and AI concepts to sales and business audience
Proven ability to adapt to new technologies, tools, processes, changing needs, and ambiguity
Familiarity with Wholesale Sell-In, seasonal ordering, or retail assortment and merchandising processes (Nice to have)
Experience designing human-in-the-loop AI workflows, where users review, adjust, and approve system recommendations (Nice to have)
WHAT YOU'LL WORK ON
Defining and owning the product vision and multi-year roadmap for AI-assisted wholesale solutions, from discovery through delivery
Owning delivery of feature changes end to end that significantly affect core parts of the platform
Assessing the business impact of different solutions and weighing tradeoffs between business and customer needs, technology requirements, and cost
Running structured brainstorming and discovery sessions with Sales, accounts, and cross-functional partners to generate and prioritize product improvements
Defining success metrics and outcome targets, such as time saved, plan accuracy, and bookings impact, and reporting progress to senior leadership
Partnering with Engineering and Data Science to ship AI capabilities responsibly, including model inputs, explainability for users, and feedback loops that improve recommendations over time
Working with other product teams to make sure recommendations connect cleanly to order entry, checkout, and downstream planning systems