Senior PM - Personalization & Customer Insights

JPMorgan Chase & Co.; Palo Alto (CA); On-site; USD 110,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. in Palo Alto seeks a Senior Product Associate for the Personalization & Customer Insights team to drive ML-powered customer data insights and personalized experiences.

You will translate research into clear requirements and collaborate with Data Scientists and ML Engineers across a matrixed organization. This role covers end-to-end product delivery, experimentation, KPI tracking, and ensuring privacy, consent, and fairness.

Qualifications

• 3+ years of product management, analytics, data science, or related roles.
• Strong data literacy and analytical judgment.
• Experience querying data with SQL and/or Python.
• Solid product fundamentals and agile delivery.
• Clear written and verbal communication; cross-functional collaboration.
• Ability to operate in ambiguity and learn quickly.

Responsibilities

• Support the product roadmap and maintain a well-groomed backlog.
• Translate research and analytics into clear requirements, tradeoffs, and decisions.
• Partner with Data Scientists and ML Engineers across the model lifecycle.
• Help define hypotheses and support experiments (e.g., A/B tests).
• Track KPIs for engagement, quality, and reliability; translate results into next steps.
• Coordinate with Design, Engineering, and partner teams for alignment and momentum.
• Support responsible AI, privacy, governance, and fairness with control functions.

Skills

Product management

Analytics

Data science

Engineering

Agile delivery

SQL

Python

Written & verbal comms

Cross-functional collaboration

Education

Bachelor's degree in Engineering, Data Science, Business

Tools

Jira

SQL

Python

Job description

JPMorgan Chase & Co. in Palo Alto seeks a Senior Product Associate for the Personalization & Customer Insights team to drive ML-powered customer data insights and personalized experiences.

You will translate research into clear requirements and collaborate with Data Scientists and ML Engineers across a matrixed organization. This role covers end-to-end product delivery, experimentation, KPI tracking, and ensuring privacy, consent, and fairness.