Lead Product Manager

What you'll do

• Serve as a key contributor to the strategic direction and roadmap of the loyalty execution platform
• Find opportunities for new features, functionality, and platform improvements 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
• Help define and complete the company's vision for incorporating AI throughout the customer dedication experience
• Find opportunities for technology-based capabilities that enable clients to deliver more personalized customer journeys, communications, offers, rewards, and experiences
• Evaluate emerging AI technologies, tools, and market developments to determine their applicability within the loyalty platform
• Partner with product, engineering, data, and customer teams to translate AI 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 platform focused on dedication
• 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 recognize opportunities to strengthen the platform's competitive position
• Anticipate future client needs and evolving market requirements to inform long-term product strategy
• Establish ongoing processes for collecting and analyzing feedback from clients, prospects, sales teams, and customer-facing partners
• Conduct customer interviews, discovery sessions, and market research to identify unmet needs and opportunities
• Translate customer insights into actionable product enhancements and roadmap initiatives
• Partner with engineering, UX/UI, data, and business team members throughout the product development lifecycle
• Create detailed product requirements, user stories, acceptance criteria, and implementation documentation
• Utilize design and prototyping tools to develop working, demonstratable 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

Requirements

• Bachelor's degree or equivalent professional experience
• 5+ 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 dedication, dedication program management, customer engagement, retention marketing, CRM marketing, 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
• Strong understanding of AI-enabled personalization, customer intelligence, or emerging AI applications within marketing technology
• 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: Experience with loyalty management platforms, rewards programs, customer engagement platforms, CDPs, CRM systems, or marketing automation technologies
• Preferred: Familiarity with Agile product development methodologies
• Preferred: Experience working directly with enterprise clients and executive stakeholders
• Preferred: Knowledge of customer data, personalization, segmentation, predictive modeling, and loyalty analytics
• Preferred: Experience helping define or implement AI-driven product capabilities within a SaaS environment

Tech stack

Benefits