Personalization Product Associate Senior Associate

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Posted
28 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $184k
$129k most similar roles pay here $240k

This listing doesn't post a salary. Most similar roles pay $139,500–$229,462.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Personalization Product Associate Senior Associate

As a Personalization Product Associate - Senior Associate on the Personalization & Customer Insights Team, you will serve as the execution lead for the Customer Intelligence Hub. You will manage the product backlog across engineering teams, translate strategy into sprint-level delivery, and own feature development from discovery through production. Your daily work involves writing requirements, epics, and user stories while partnering with Data Scientists to run experiments for ranking models and summary quality. You will build a personalized content generation layer that mines customer data to proactively surface insights across mobile, web, and branch channels. Key technical competencies include experience with ML/AI-powered features, LLM-as-a-Judge evaluation, prompt engineering, and A/B testing. You will also navigate complex systems involving contextual bandits, recommendation engines, and real-time ML serving infrastructure to deliver measurable value in the financial services domain.

What you'll do

  • Own feature delivery from discovery through production for the Customer Intelligence Hub.
  • Manage the product backlog and coordinate execution across multiple engineering teams.
  • Write detailed requirements, epics, and user stories to support product development.
  • Partner with Data Scientists to evaluate ranking models and LLM-as-a-Judge quality scoring.
  • Run experiments and A/B tests to validate model performance and summary quality.
  • Mine customer data and behavioral patterns to identify and surface proactive insights.
  • Define triggers based on events or account changes to push pre-computed insights to customers.
  • Drive production hardening, compliance, and operational excellence for the reusable generation platform.

What we're looking for

  • 3+ years of experience or equivalent expertise in product management or a relevant domain area.
  • Proficient knowledge of the product development life cycle including discovery and requirements definition.
  • Experience shipping ML/AI-powered features to production in partnership with Data Scientists and Engineers.
  • Strong backlog management skills including JIRA epics, user stories, acceptance criteria, and sprint planning.
  • Data literacy to interpret model metrics, experiment results, and make data-driven prioritization decisions.
  • Comfort with LLM-based products, prompt engineering concepts, and quality evaluation methodologies.
  • Clear communication skills to translate technical complexity into stakeholder-ready narratives for both technical and non-technical teams.
  • BS or MS in Engineering, Data Science, Business, or a comparable field of study (preferred).

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