Product Manager Jobs

About The Position

Requirements

• 5+ years of relevant product management, data product, analytics product or comparable experience.
• Bachelor's degree in a related field, or equivalent practical experience.
• Experience owning product vision, discovery, roadmap, prioritization, requirements, launch readiness, adoption and outcome measurement.
• Hands-on working knowledge of Databricks and modern lakehouse concepts, including governed data products, pipelines, semantic layers, data quality, lineage and self-service consumption.
• Ability to partner effectively with data engineering, analytics, data science, architecture, security, privacy and business teams.
• Ability to define product outcomes and KPIs, use evidence to make prioritization decisions and communicate complex data topics in business language.
• Working knowledge of agile product delivery, backlog management, dependency planning and change adoption.
• Working knowledge of Voice of Customer or Voice of Member language and strategy, including surveys, satisfaction, NPS, complaints, contact reasons, journey analytics, sentiment, text analytics, root-cause analysis and closed-loop action.

Nice To Haves

• Retail, wholesale club, service, contact-center, loyalty or digital customer-experience experience.
• Experience with survey platforms, contact-center analytics, digital analytics, journey analytics or experience-management platforms.
• Experience productizing NLP, GenAI or text-analytics capabilities with explainability, privacy and human-review controls.

Responsibilities

• Defines and maintains the roadmap for Voice of Member data products and connects each investment to member experience, loyalty, service and operational objectives.
• Runs discovery with Member Care, Membership, Digital, Club Operations, Merchandising, Supply Chain and Marketing users to understand how member feedback is captured, interpreted and acted upon.
• Owns prioritization across surveys, satisfaction measures, complaints, contact reasons, service interactions, digital behavior, journey signals, sentiment, themes and closed-loop action capabilities.
• Defines common taxonomies, member-experience measures, business rules, quality thresholds, linkage requirements and acceptance criteria across feedback sources.
• Partners with data engineering, analytics and architecture to deliver governed Databricks products that integrate structured and unstructured experience signals.
• Evaluates and productizes appropriate AI/NLP capabilities such as topic classification, summarization, sentiment, emerging-issue detection and root-cause support, with human review and responsible-use controls.
• Designs products for action, not reporting alone, including ownership, routing, prioritization, traceability and measurement of business response.
• Plans adoption, training, communications, operating routines and support so insights are embedded in product, service and operational decisions.
• Measures performance through adoption, data trust, coverage, insight-to-action time and the member-experience outcome each product is intended to influence.

Benefits

• Medical, vision, and dental benefits
• 401k retirement plan
• variable pay/incentives
• paid time off
• paid holidays