Sr Product Manager

On-site role at Beaverton, OR ; typical work hours, 4/1 hybrid schedule

8-10 years’ experience minimum required in a Technical Product Management 

Top must-have skills include the following:

·        Strong overall product management skills

·        Ability to create roadmaps and set strategy and vision

·        Ability to foster good relationships with engineering teams and business partners (very cross functional)

·        Ability to write requirements and user stories

·        AI/ML experience

·        Analytical skills - ability to make database decisions, define metrics, set baselines, etc.

·        Excellent communication skills

·        Team player mindset

·        Ability to influence and inspire

Skills that would make a candidate stand out:

·        B2B experience

·        Previous experience delivering LLM products/tools

·        Ability to work in an AI workflow environment

·        ETW will be responsible for defining and owning the product vision and multi-year roadmap for AI-assisted wholesale solutions on Nike.net; will help redesign part of the application

·        Will sit on the Partners in Sports Marketing Product Management team

·        ETW must be able to navigate a complex matrix environment - will need to work closely with teams who are outside of the core group, influencing others and making sure all parts of the puzzle fit together

WHO WE ARE LOOKING FOR

 Lead Product Manager who is a strategic thinker, an execution-driven leader, and a strong advocate for building enterprise-grade platforms that scale. You are as comfortable defining a long-term product vision as you are rolling up your sleeves to unblock a squad on delivery. You do your best work where business, technology, and user needs meet, and you know how to turn ambiguity into clear, actionable roadmaps.

Skillset Required

We're looking for someone with at least 8 to 10 years of experience in product management who has clearly demonstrated these skills:

·        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