Product Manager, Personalization Platforms

IDEXX•Westbrook, ME

22h•Hybrid

About The Position

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.

Requirements

Enterprise personalization platform expertise, for example Salesforce Marketing Cloud Personalization, Adobe Target, Dynamic Yield, or Optimizely.
4-6 plus relevant experience in product management/ownership.
Working understanding of customer data platforms, for example Salesforce Data Cloud, Segment, Tealium, or Treasure Data.
Strong grasp of B2B data models, including how account-level and individual-level data combine to drive personalized experiences.
Strong business case and ROI analysis skills.
Agile product management experience, including direct authorship of requirements and user stories with acceptance criteria.
Comfort using AI tools to accelerate product management work without sacrificing rigor.
Ability to lead through influence in a cross-functional, matrixed organization.
Experience coordinating across multiple lines of business with shared customer audiences.

Responsibilities

Own Platform Strategy and Roadmap: 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.
Define and Prioritize Development Backlog: 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.
Lead Cross-Platform Data Activation: 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 workstreams.
Align Cross-Platform Dependencies: 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.
Manage Delivery Through Agile Partnership: 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).
Drive Platform Evolution and Emerging Capabilities: Identify and evaluate AI use cases for personalization, including dynamic content generation, predictive segmentation, and next-best-action recommendations.
Build business cases for AI pilots that demonstrate clear ROI and alignment with digital marketing strategy.
Apply AI tools to the product management workflow itself, including requirements drafting, user story generation, and backlog refinement, in a way that improves quality and throughput.
Guide stakeholders in understanding practical AI applications within the personalization stack.