Product Manager, Product & Merchandise Analytics

Location: Onsite in Carlsbad, California, United States.

Salary: USD 137,300–176,610 per year; bonus eligible.

Company

hirify.global creates athletic apparel with a casual aesthetic inspired by an active coastal California lifestyle.

What you will do

• Shape the Product & Merchandising Analytics roadmap and independently lead initiatives from discovery through delivery, rollout, adoption, and post-launch improvement.
• Partner with product development, merchandising, merchandise planning, wholesale, supply chain, ERP, business systems, engineering, reporting developers, and senior business leaders.
• Translate business questions and operational workflows into requirements, metric definitions, data needs, acceptance criteria, scope, and success measures.
• Own the product backlog, support sprint planning, resolve delivery issues, and manage cross-team dependencies.
• Connect and validate product, assortment, planning, sales, inventory, purchase order, and ERP data while resolving conflicting definitions and communicating limitations.
• Identify, prototype, and validate AI-enabled insights and workflow automation, using approved AI tools for discovery, specifications, analysis, and prototyping.

Requirements

• 5+ years of experience in product management, analytics, BI, or a senior analyst role, ideally supporting product, merchandising, planning, wholesale, or supply chain functions.
• Exceptional stakeholder management skills, including leading discussions with senior leaders, gathering cross-functional requirements, and aligning competing needs.
• Very strong written and verbal communication skills, with the ability to translate between business and technical audiences.
• Strong understanding of retail and product lifecycle analytics, including assortment, seasonality, product cost, margin, sell-through, inventory productivity, and demand and supply planning.
• Hands-on experience with a data semantic layer or modern BI platform such as MicroStrategy, Looker, Power BI semantic models, dbt Semantic Layer, Cube, or an equivalent platform.
• Ability to translate business processes into analytics requirements covering metric design and definition, data grain, hierarchies, relationships, data quality, edge cases, and versioning.
• Experience building analytics products for leadership and operational users, driving adoption, and turning data into decisions.
• Awareness of AI applications in analytics, including automated insights, semantic search, natural language to SQL, and workflow automation, with willingness to prototype, experiment, and use AI tools.

Nice to have

• Experience with DTC, apparel, retail, or branded consumer goods.

Culture & Benefits

• Onsite work in a fast-paced retail and product environment.
• Health insurance and an Employee Assistance Program.
• Savings and retirement plan.
• Paid time off, wellness and fitness benefits, and employee discounts and industry perks.