Product Manager AI Personalization

United States Digital Space LLC; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

United States Digital Space LLC is seeking a Product Manager – AI Personalization to own our TrafiPersonalization Engine, a hybrid platform that blends ML models, Generative AI, and rule-based logic to deliver real-time, cross-channel personalized experiences across our ecosystem.

You will partner with Data Science, AI Engineers, CRM, and Growth PMs to define, ship, and scale use cases from product recommendations to AI-generated messaging and dynamic experiences.

Qualifications

• 5+ years in Product Management, ideally in personalization, MarTech, or growth tech stacks.
• Experience with AI-Gen models, ML systems, recommendation engines, or personalization platforms.
• Strong understanding of CDPs (Segment, mParticle), behavioral data modeling, and decisioning logic.
• Experience defining experimentation frameworks and tracking business impact.
• Systems thinker who can design architecture and execute at feature level.
• Strong documentation and async communication skills.
• Experience in multi-brand, fast-paced eCommerce or SaaS environments.
• Nice to have: Segment, Klaviyo, Shopify APIs, GA4, Amplitude, or Mixpanel familiarity.

Responsibilities

• Own and evolve the TrafiPersonalization Engine integrating ML, Generative AI, and rules-based logic.
• Partner with Data Science, AI Engineers, CRM, and Growth PMs to define and ship personalization use cases.
• Design personalized prompts, dynamic flows, and AI-driven messaging at scale.
• Define behavioral inputs, decision logic, and fallback strategies.
• Own the vision and roadmap for the TrafiPersonalization Engine and data schemas.
• Ensure real-time personalization across web, CRM, checkout, and lifecycle systems.
• Lead rollout plans, QA, documentation, and adoption; evangelize personalization strategy.

Skills

Product Management

AI/ML concepts

MarTech

Experimentation frameworks

Cross-functional leadership

Documentation

Ecommerce/SaaS

Tools

Segment

mParticle

Shopify APIs

Klaviyo

GA4

Amplitude

Mixpanel

Job description

Headquarters: New York, New York, United States

Job description About the company the company is a Consumer Tech Platform for Transformative Brand Growth. We’re building the AI Growth Engine that powers the next generation of consumer brands.

With over $1B+ in cumulative revenue, 12M+ customers, and 500+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands.

We own and operate our own digitally native brands (not an agency), with presence in Walmart, Nordstrom, and Amazon, and a strong global D2C footprint.

Mission We’re looking for a Product Manager – AI Personalization to own and evolve our TrafiPersonalization Engine , a hybrid platform combining Machine Learning models, Generative AI, and rules-based logic to deliver real-time, cross-channel personalized experiences across our ecosystem.

This is a high-ownership platform role at the intersection of MarTech, ML infrastructure, and Generative AI applications .

Transform behavioral data and product signals into intelligent, scalable personalization that drives CVR, AOV, and retention across PDP, checkout, email, loyalty flows, and beyond.

You’ll partner with Data Science, AI Engineers, CRM, and Growth PMs to define, ship, and scale personalization use cases — from product recommendations to AI-generated messaging and dynamic experiences.

What You’ll Own AI & Personalization Deploy ML and Generative AI use cases (LLMs, embeddings, prompt-based systems).

Design personalized prompts, smart product bundles, dynamic flows, and AI-driven messaging.

Define behavioral inputs, decision logic, and fallback strategies.

Architecture & Platform Own the vision and roadmap for the TrafiPersonalization Engine.

Translate business needs into rules logic, APIs, event triggers, and scalable data schemas.

Ensure real-time personalization across web, CRM, checkout, and lifecycle systems.

Business Impact Partner with Growth teams to launch high-ROI personalization initiatives.

Define experimentation scope and KPI tracking (CVR uplift, RPV, CTR, LTV).

Enable lifecycle and funnel teams to personalize at scale.

Cross-Functional Leadership Act as orchestrator across Engineering, Data Science, CRM, UX, and Analytics.

Drive rollout plans, QA strategy, documentation, and adoption.

Evangelize personalization strategy across brands and squads.

Job requirements What We’re Looking For 5+ years in Product Management, ideally in personalization, MarTech, or growth tech stacks .

Experience working with AI-Gen models, ML systems, recommendation engines, or personalization platforms .

Strong understanding of CDPs (Segment, mParticle), behavioral data modeling, and decisioning logic.

Experience defining experimentation frameworks and tracking business impact.

Systems thinker who can design architecture and execute at feature level.

Strong documentation and async communication skills.

Experience in multi-brand, fast-paced eCommerce or SaaS environments.

Nice to have: Hands-on familiarity with Segment, Klaviyo, Shopify APIs, Contentful, GA4, Amplitude, or Mixpanel.

Why This Role Is Exciting You’ll build the foundation of AI-driven personalization across global brands — shaping how millions of users experience our ecosystem.

This isn’t incremental optimization.This is building the personalization engine of the future.