Product Manager, Personalization Platforms

The Product Manager, Personalization Platforms drives business value from IDEXX's personalization technology stack. This role owns disciplined product management, cross-platform data activation, and revenue-aligned prioritization for the systems that deliver personalized experiences across web, eCommerce, and customer portal channels.

Sitting at the intersection of marketing, data, and technology, you will define how IDEXX resolves account-level context and individual behavior into a single, real-time personalized experience for our B2B customers. You will partner with adjacent product managers for marketing engagement platforms and enterprise website platforms to align dependencies and roadmaps, while collaborating with IT, data teams, and lines of business to deliver capabilities that advance personalization maturity and measurable commercial outcomes.

The ideal candidate has a strong background in personalization platforms, customer data platforms, or marketing data activation, with a track record of defining roadmaps, writing high-quality requirements, building ROI-driven business cases, and delivering measurable outcomes. This individual contributor role leads through influence across a matrixed organization. The role takes on requirements and user story authorship directly, supported by AI tools and shared Business Analyst capacity.

The role will be hybrid with the requirement to be onsite 2 days per week at our headquarters in Westbrook, ME.

• Define the multi-year vision and incremental roadmaps for personalization and customer data activation platforms, aligned to business goals across global marketing, lines of business, and commercial teams.
• Build investment cases for personalization and data unification capabilities, with clear ROI, revenue impact, and priority justification.
• Define how account-level signals and individual-level behavior come together into a unified, real-time personalization model.

• Own end-to-end backlog management with well-scoped, development-ready initiatives.
• Write unambiguous requirements and user stories with acceptance criteria that minimize rework and scope creep, using AI tools to accelerate authorship while maintaining quality.
• Facilitate stakeholder prioritization across lines of business and make trade‑offs transparent, particularly where personalization rules need to coordinate across competing campaigns to the same account.

• Define how data flows from source systems (CRM, ERP, data warehouse, in-clinic IoT data) into personalization activation.
• Partner with data analysts, architects, and engineers to specify the unified customer profile required for real-time, dynamic segmentation.
• Replace manual, static segmentation lists with dynamic, behavior-driven segments as data unification capabilities mature.
• Address data quality dependencies (duplicate, incomplete, and mismatched contact records; consent gaps) that personalization depends on, in coordination with CRM and consent management work streams.

• Coordinate with the Product Manager for marketing engagement platforms on triggered email flows where on‑site behavior initiates outbound email.
• Coordinate with the Product Manager for enterprise website platforms on the website surfaces where personalized experiences are delivered, including CMS, analytics, and optimization integration xpoints.
• Coordinate with product owners for B2B eCommerce, LMS, customer portals, and CRM on integration strategies and roadmaps.
• Deliver concise status updates on risks, dependencies, and business impact to leadership.

• Partner with the ring‑fenced IT delivery team to deliver against the personalization roadmap.
• Drive sprint performance, proactively remove blockers, and maintain development momentum.
• Establish KPIs that track delivery velocity, platform adoption across lines of business, and measurable business impact (engagement, conversion, retention).

• Identify and evaluate AI use cases for…