Product Manager - Personalization & MarTech Innovation

Product Manager - Personalization & MarTech Innovation

Remote: CST or EST hours worked is ideal.

Reporting directly to the VP of Marketing Innovation, the Product Manager - Personalization & MarTech Innovation serves as the strategic bridge between business growth priorities, emerging marketing technology, and external innovation partners.

In this role, you will own the discovery, experimentation, and delivery roadmap for next-generation personalization, dynamic creative, and journey optimization across our enterprise MarTech ecosystem. You will lead cross-functional agile teams through rapid proof-of-concept (PoC) pilots, validate business value using rigorous testing frameworks, and scale proven technologies into enterprise-wide production capabilities.

• Product Strategy & Roadmap Ownership: Define and champion the multi-quarter capability roadmap for personalization and optimization, aligning technical feasibility, customer experience, and business ROI.
• Agile Product Ownership: Lead backlog grooming, sprint planning, and story definition within an enterprise Agile framework (Scrum/Kanban/SAFe), translating strategic marketing opportunities into clear technical requirements, user stories, and acceptance criteria.
• Pilot Design & Experimentation: Design and execute disciplined pilot frameworks with explicit hypotheses, data/API requirements, baseline metrics, and KPIs to determine whether to scale, iterate, or sunset partner solutions.
• Cross-Functional Orchestration: Partner closely with Technology, Enterprise Data & Analytics, Creative Ops, Privacy, and Compliance to ensure all capability implementations satisfy architectural standards and regulatory governance.
• Partner & Ecosystem Enablement: Lead technical discovery and capability evaluation with leading MarTech and AI partners, steering technical co-development and solution alignment (commercial contracts and procurement managed separately).
• Enterprise Scaling & Adoption: Transition successful pilots into repeatable, production-grade capabilities by developing operational playbooks, conducting internal training, and ensuring smooth handoffs to campaign delivery teams.
• Measurement & Executive Reporting: Track and report post-launch capability adoption, incremental lift, and operational efficiencies through structured quarterly reviews with marketing and technology leadership.

• 5+ years of experience in Marketing Technology (MarTech), digital product management, or technical product delivery.
• Proven Agile Product Delivery: Hands-on experience managing product backlogs, authoring technical user stories, and working directly with software engineering and data teams.
• Testing & Validation: Demonstrated track record of structuring pilots/PoCs, establishing baseline metrics, and measuring incremental marketing performance.
• Stakeholder Management: Exceptional communication skills with the ability to translate complex data integrations and MarTech concepts to non-technical business partners and executive leaders.

• Domain Knowledge: Direct experience with enterprise personalization engines, dynamic creative optimization (DCO), and decisioning platforms (e.g., Movable Ink, Dynamic Yield, SundaySky, Zeta Experiences, Salesforce Marketing Cloud).
• Industry Experience: Background in regulated industries such as Financial Services, Fintech, Healthcare, or complex B2B/B2C environments.
• Emerging Tech & AI: Familiarity with modern AI/ML personalization applications, predictive modeling, and responsible AI governance.

As product owner, your near-term pipeline spans several core capability pillars:

• Omnichannel Personalization: Expanding dynamic, attribute-based content engines across Mobile, SMS, and B2B platforms (Salesforce ecosystem).
• AI-Driven Creative Optimization: Piloting next-generation AI modules (e.g., Movable Ink DaVinci, Dynamic Yield) to evaluate predictive layout, subject-line, and content optimization.
• Data-Enabled Dynamic Media: Scaling automated, data-driven video and interactive asset generation (e.g., SundaySky) across multi-touch customer journeys.
• Foundational Data Enablement: Collaborating with data engineering to sustain and optimize real-time customer data feeds driving behavioral personalization.