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Director Product Manager
Not specifiedFull-timeProduct ManagementEnterprise Software
Lead product strategy and end-to-end execution for AI-powered retail intelligence and execution solutions. Translate complex retail, merchandising, and store-operations challenges into scalable products that help enterprise customers make decisions and take action.
Responsibilities
- Own product strategy and execution for key areas of a retail intelligence and execution platform, from discovery through launch, adoption, and measurable impact.
- Identify high-value opportunities using customer insight, product data, market understanding, and real-time in-store data.
- Convert complex retail and operational challenges into simple, scalable, actionable product experiences.
- Work with customers and senior stakeholders to understand processes, KPIs, decisions, and unmet needs.
- Define priorities, requirements, success metrics, and roadmaps while making product trade-offs.
- Lead discovery and experimentation for store optimization, merchandising performance, AI recommendations, and retail execution.
- Partner with Engineering, Data, AI, Design, Customer Success, and Sales to deliver products from concept to impact.
- Provide product leadership and customer perspective for strategic organizational decisions.
Requirements
- At least 7 years of product management experience, including ownership of complex B2B products.
- Proven ability to lead products from opportunity identification and strategy through execution, adoption, and business results.
- Experience building data-intensive, AI-driven, analytics, recommendation, or workflow products.
- Strong product judgment and the ability to simplify complex systems and workflows into intuitive experiences.
- Highly analytical, with the ability to use data, KPIs, and user behavior to guide product decisions.
- Strong customer orientation and ability to uncover underlying business problems.
- Ability to work autonomously with substantial ownership in a fast-moving startup environment.
- Combination of strategic thinking and hands-on execution.
Nice to have
- Experience with AI, generative AI, recommendation engines, automation, or decision-support systems.
- Background in fashion retail, merchandising, store operations, visual merchandising, or inventory optimization.
- Experience building enterprise products for multiple personas across headquarters and store teams.
- Experience working directly with large global enterprise customers.