Product Manager, AI & Planning Science

As AI and Planning Science Product Manager you will be responsible for maintaining the roadmap and driving successful delivery of Vuoris data science and machine learning products. Your primary focus will span two connected domains: planning science capabilities forecasting inventory optimization demand sensing and the ML models that power smarter merchandising and supply chain decisions and customer and consumer analytics including models and data products that deepen understanding of customer behavior lifetime value segmentation and personalization. You will also flex into agentic AI and generative AI initiatives as the portfolio evolves. 

This role is a strong fit for a product practitioner who is comfortable working closely with data scientists and ML engineers translating complex modeling work into products that business teams actually use and trust. You will keep delivery moving ensure requirements are clear and grounded in real business needs and stay close to outcomes so the team always knows whether the work is landing. 

What youll get to do:

Maintain and manage the roadmap 

• Keep the planning science and consumer AI product roadmap current sequenced and visible balancing near-term delivery with longer-horizon model and platform investments across both planning and customer domains. 
• Work with merchandising supply chain finance marketing e-commerce and technology partners to surface high-value opportunities for data science and ML and bring them into the roadmap through a clear prioritization process. 
• Facilitate trade-off conversations between business stakeholders and data science teams helping groups reach decisions grounded in data and realistic about what modeling can deliver. 
• Communicate roadmap status sequencing changes and delivery progress on a regular cadence so stakeholders are not surprised and plans remain credible. 
• Surface dependencies data readiness gaps and model risk issues early so teams have time to address them before they become blockers. 

Drive successful delivery 

• Translate business planning operational and customer-facing needs into clear detailed product requirements model evaluation criteria and acceptance standards that data science and engineering teams can build against. 
• Work alongside data scientists and ML engineers throughout development clarifying scope reviewing model outputs aligning on evaluation frameworks and making fast decisions when requirements need to adapt. 
• Ensure model outputs are properly integrated into business workflows and decision tools not just technically functional but genuinely usable by the planners marketers merchants and operators who depend on them. 
• Run agile ceremonies and delivery rituals that keep cross-functional teams data science engineering analytics and business aligned and moving forward. 
• Manage launches end to end: rollout plans user enablement stakeholder communication and post-launch monitoring to confirm the work is performing as intended. 
• When the portfolio calls for it extend the same delivery discipline into agentic AI and generative AI projects applying consistent product rigor regardless of the underlying technology. 

Partner and measure 

• Build strong working relationships with merchandising planning supply chain finance marketing and CRM teams to understand their workflows data environment and the decisions where better models would make a meaningful difference. 
• Support customer and consumer analytics initiatives including customer lifetime value modeling segmentation churn prediction propensity scoring and personalization ensuring outputs are actionable for marketing and e-commerce teams. 
• Work with data scientists and analytics teams to track model performance in production accuracy drift coverage and downstream business impact across both planning and consumer-facing products. 
• Collect and synthesize stakeholder feedback model performance data and user behavior to maintain a continuous improvement backlog. 
• Advocate for the end users of planning science and consumer analytics products ensuring model outputs are interpretable trustworthy and fit for the decisions being made. 
• Provide regular progress updates and outcome summaries to senior leadership grounded in model performance metrics and business results. 

Qualifications :

Who you are:

• Bachelors degree in Business Computer Science Statistics Engineering or a related field; or equivalent years of experience preferred.  
• 8 years of product management experience including 3 years working directly with data science or machine learning teams on products shipped to real users in production environments. 
• Demonstrated track record of managing a roadmap and delivering data science or ML features end to end with measurable business outcomes across planning operations or customer-facing domains. 
• Strong ability to work alongside data scientists and ML engineers comfortable discussing modeling approaches evaluation of metrics and data requirements at a meaningful level of depth. 
• Experience translating business planning forecasting customer analytics or operational needs into clear model requirements and product specifications. 
• Familiarity with the full ML lifecycle data preparation model development evaluation deployment and monitoring and the product considerations at each stage. 
• Excellent written and verbal communication skills with the ability to make modeling work legible and credible to business executive and technical audiences alike. 
• Strong organizational skills and a consistent bias toward action with comfort navigating the inherent uncertainty of data science delivery. 

Preferred Qualifications 

• Experience in retail e-commerce direct-to-consumer or consumer goods particularly across planning and customer analytics domains. 
• Familiarity with planning science domains such as demand sensing replenishment optimization size curve modeling or markdown optimization. 
• Familiarity with customer science domains such as customer lifetime value segmentation churn modeling propensity scoring or AI-driven personalization. 
• Exposure to agentic AI LLM-powered workflows or generative AI applications in a business context either through direct delivery or adjacent product work. 
• Comfort working with data directly SQL BI tools or experimentation frameworks to independently assess model performance and product outcomes. 
• Experience with ML platforms or tools such as Azure ML Databricks SageMaker or similar. 
• Familiarity with responsible AI principles as they apply to predictive modeling bias fairness explainability and model governance. 
• Demonstrated curiosity about emerging data science and AI techniques with a history of bringing new capabilities into production alongside technical teams. 

Additional Information :

Our investment in you:

At Vuori were proud to offer the following to our employees: 

• Health Insurance 
• Savings and Retirement Plan  
• Employee Assistance Program 
• Generous Vuori Discount & Industry Perks 
• Paid Time Off  
• Wellness & Fitness benefits  

The salary range for this role is $137300 per year - $176610 per year. This role is bonus eligible. 

Vuori is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex gender identity sexual orientation race color religion national origin disability protected Veteran status age or any other characteristic protected by law.  

All your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Full-time