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The Amatriot Group

Digital Product Manager - Personalization Intelligence

Posted 11 Days Ago
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In-Office
Marlborough, MA
140K-165K Annually
Mid level
In-Office
Marlborough, MA
140K-165K Annually
Mid level
Lead the product roadmap for AI-driven personalization across customer touchpoints. Partner with Data Science and Engineering to build, deploy, and optimize recommendation engines and predictive models, design experimentation frameworks, measure incremental business impact, and drive roadmap delivery tied to engagement, conversion, and revenue.
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Location: Hybrid or Remote (Marlbourough, MA)

Job Type: Full-Time

Target Salary Range*: $140,000 - $165,000

Position Overview

The Amatriot Group is seeking a Digital Product Manager - Personalization Intelligence to support BJ’s Wholesale Club out of Marlborough, Massachusetts. This role is responsible for defining and executing the product roadmap for AI-driven personalization, leveraging machine learning and data science to deliver intelligent customer experiences that drive engagement, conversion, and revenue across all customer touchpoints. This is a hybrid role, with Tuesday through Thursday in office at BJ’s Club Support Center in Marlborough, Massachusetts, and Monday and Friday remote. The ideal candidate is hybrid, though remote candidates in approved states will also be considered.

Key ResponsibilitiesProduct Strategy and Roadmap
  • Define and execute the product roadmap for Personalization Intelligence across all customer touchpoints.
  • Establish clear business goals, measurable outcomes, and prioritization strategies tied to incremental revenue and customer engagement.
  • Lead the transformation from campaign-based targeting to intelligent, model-driven personalization at scale.
  • Drive accountability for product execution, business outcomes, and roadmap delivery.
Machine Learning Product Lifecycle
  • Partner closely with Data Science to design, develop, and scale recommendation engines, propensity-to-buy models, predictive engagement models, and churn prediction models.
  • Own the end-to-end machine learning product lifecycle, including business case development, model training, testing, deployment, and ongoing optimization.
  • Translate machine learning outputs into actionable personalization strategies that can be tested and measured.
  • Monitor machine learning performance metrics alongside key business KPIs to continuously optimize personalization initiatives.
Experimentation, Analytics, and Performance Measurement
  • Develop experimentation frameworks and hypotheses to measure incremental business impact.
  • Collaborate with analytics teams to establish tracking, reporting, experimentation design, and performance measurement.
  • Use data-driven decision making to maximize business impact.
Cross-Functional Collaboration and Stakeholder Management
  • Partner with cross-functional teams, including Data Science, Engineering, Analytics, and Business leaders.
  • Influence technical and non-technical stakeholders through excellent verbal and written communication.
  • Collaborate across product, engineering, data science, analytics, and business teams to align priorities and deliver measurable results.
  • Balance customer needs, technical feasibility, and business priorities when making product decisions.
QualificationsExperience
  • 4+ years of Product Management experience.
  • Demonstrated experience delivering personalization platforms, recommendation systems, propensity-to-buy models, or other predictive machine learning products.
  • Experience partnering with cross-functional teams, including Data Science, Engineering, Analytics, and Business leaders.
Skills
  • Strong understanding of product discovery, prioritization, roadmap development, and stakeholder management.
  • Excellent verbal and written communication skills with the ability to influence technical and non-technical stakeholders.
  • Ability to effectively manage competing priorities while driving multiple initiatives simultaneously.
  • Demonstrated ownership throughout the product lifecycle.
  • Understanding of how AI-powered personalization supports broader business objectives, customer engagement, and revenue growth.
Other Requirements
  • Hybrid preferred; remote candidates in approved states will also be considered.
  • Tuesday through Thursday are in-office days at BJ’s Club Support Center in Marlborough, Massachusetts; Monday and Friday are remote.
  • Will consider candidates in years 2–3 of H-1B sponsorship with an approved I-140, as well as U.S. citizens and Green Card holders.
Preferred Qualifications
  • Retail or e-commerce experience strongly preferred.

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