Principal, Product Management - Loyalty Execution Platform
DigitasLBi
Product ManagerEpsilon powers connected marketing by unlocking the full potential of data and identity. We are seeking an experienced and strategic Product Manager to drive the evolution of our loyalty execution platform. This role sits at the intersection of product management, customer loyalty strategy, customer analytics, artificial intelligence, client engagement, and market intelligence. The ideal candidate will play a critical role in shaping our loyalty technology roadmap by gathering market insights, understanding client and prospect needs, and translating those inputs into innovative product capabilities that deliver measurable value. This individual will identify emerging trends in customer loyalty and engagement. They will anticipate future market needs. They will help define how customer data and analytics improve the loyalty experience by building more personalized, relevant, and effective interactions. The successful candidate combines deep loyalty marketing expertise with a strong background in SaaS product development and execution. This position will also require a solid understanding of customer analytics and innovative use of first- and third-party data to create personalized experiences for consumers. Candidates will ideally be located in the Dallas, Chicago, or Denver metropolitan areas. Boston and New York may also be considered locations.ResponsibilitiesProduct Strategy & Roadmap Development: Serve as a key contributor to the strategic direction and roadmap of the loyalty execution platform. Find opportunities for new features, functionality, and platform enhancements that improve client outcomes and drive business growth. Develop cases, product requirements, and implementation plans for new capabilities. Prioritize initiatives based on customer value, market demand, strategic fit, and business impact.AI & Personalization Strategy: Help define and complete the company's vision for incorporating AI, customer strategy, and analytics throughout the loyalty experience. Find opportunities for technology-powered capabilities that enable clients to deliver more personalized customer journeys, communications, offers, rewards, and experiences using Epsilon's proprietary customer data assets. Evaluate emerging AI technologies, tools, and market developments to determine their applicability within the loyalty platform. Partner with product, engineering, data, analytics, and customer teams to translate AI & personalization concepts into scalable product functionality. Develop use-cases and requirements for predictive, recommendation, segmentation, and personalization capabilities that create measurable client value. Find opportunities to integrate Epsilon's differentiated data, activation, identity, and digital assets into the loyalty platform.Market & Industry Intelligence: Stay current on trends, innovations, competitive offerings, and emerging technologies within the customer loyalty, customer engagement, AI, and marketing technology industries. Monitor industry developments and see opportunities to strengthen the platform's competitive position. Anticipate future client needs and evolving market requirements to inform long-term product strategy.Customer & Prospect Insights: Establish ongoing processes for collecting and analyzing feedback from clients, prospects, sales teams, and customer-facing collaborators. Conduct customer interviews, discovery sessions, and market research to identify unmet needs and opportunities. Translate customer insights into actionable product enhancements and roadmap initiatives.Product Development & Execution: Partner with engineering, UX/UI, data, and business partners throughout the product development lifecycle. Create detailed product requirements, user stories, acceptance criteria, and implementation documentation. Use design and prototyping tools to develop working, proven prototypes of product functionality. Lead cross-functional initiatives from concept through launch and post-launch optimization. Ensure solutions are aligned with customer needs, business goals, and platform architecture. Communicate product strategy and enhancement releases throughout the organization to inform sales, engineering, leadership, and other groups.QualificationsBachelor's degree or equivalent professional experience. 8+ years of experience in product management, product development, program management, or a related role. Experience working for a SaaS software provider, preferably within marketing technology, customer engagement, CRM, loyalty, or customer experience solutions. Direct experience in customer loyalty, loyalty program management, customer engagement, retention marketing, CRM marketing, customer data & analytics, or related customer experience fields. Demonstrated success bringing software products or features from concept through launch and adoption. Experience gathering and translating customer feedback into product requirements and roadmap initiatives. Solid understanding of AI-enabled personalization, customer intelligence, or emerging AI applications within marketing technology. Strong ability to analyze and manipulate customer data for insights creation and development of strategic frameworks. Strong analytical, organizational, and project management skills. Excellent communication and collaborator management abilities. Ability to manage multiple initiatives and priorities in a fast-paced environment. Basic understanding of SaaS product architecture and underlying web and coding technologies required for product development.Preferred Qualifications: Experience with loyalty management platforms, rewards programs, customer engagement platforms, CDPs, clean rooms, CRM systems, or marketing automation technologies. Familiarity and experience with digital marketing concepts. Familiarity with Agile product development methodologies. Experience working directly with enterprise clients and executive partners. Knowledge of customer data, personalization, segmentation, predictive modeling, and loyalty analytics. Experience helping define or implement AI-driven product capabilities within a SaaS environment.
$116.4k - $249.3k
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