JP Morgan Chase & Co.

Senior Product Associate, ML Products

JP Morgan Chase & Co. • $110K — $130K *
Palo Alto, CA 94303In-Person
Enterprise Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 3+ years of experience in product management, analytics, data science, or engineering.
  • Strong data literacy with a focus on using metrics for decision-making.
  • Hands-on experience with data querying and analysis (SQL/Python).
  • Proficiency in product management fundamentals including agile processes.
  • Excellent written and verbal communication skills for cross-functional collaboration.
  • Adaptability to work in ambiguous situations and quickly learn diverse problems.

Responsibilities

  • Support product roadmap and backlog management for personalization products.
  • Translate user research and performance metrics into actionable product requirements.
  • Collaborate with Data Scientists and ML Engineers throughout the product lifecycle.
  • Define hypotheses and support experimental validation (e.g., A/B tests).
  • Monitor KPIs for product engagement and reliability, translating results into next steps.
  • Align projects across Design, Engineering, and partner teams to ensure delivery.
  • Promote responsible AI practices, including privacy and fairness standards.

Benefits

  • Flexible working hours and remote work options.
  • Opportunities for professional development and training.
  • Support for health and wellness programs.
  • Access to cutting-edge tools and technologies.
  • Encouragement of innovation and creative solutions in the workplace.
Full Job Description
JOB DESCRIPTION

As a Senior Product Associate on the Personalization & Customer Insights team, you will support the end-to-end lifecycle of machine-learning products that translate customer data into actionable insights and personalized experiences. You will represent customer and partner needs, translate research and analytics into clear requirements, and help drive delivery in close partnership with Data Scientists and ML Engineers across a matrixed organization.

This role spans (1) delivering proactive personalization and next-best-action experiences across key customer moments and channels (e.g., marketing and servicing), and (2) enabling partner teams to self-serve personalization and insights for their own use cases. You will help frame hypotheses, support experimentation to measure impact, and contribute to scalable, reliable delivery while upholding privacy, consent, and fairness standards.

Job responsibilities

  • Support the product roadmap and maintain a well-groomed backlog (epics, user stories, refinement) for one or more personalization and customer-intelligence products.
  • Translate user research, journey insights, and product performance metrics into clear requirements, tradeoffs, and decisions.
  • Partner with Data Scientists and ML Engineers across the model lifecycle (problem framing, evaluation, deployment, monitoring, iteration).
  • Help define hypotheses and support experiments (e.g., A/B tests) to validate impact and measure outcomes.
  • Track KPIs for engagement, quality, and reliability; translate results into prioritized next steps.
  • Coordinate across Design, Engineering, and partner teams to maintain alignment and delivery momentum.
  • Support responsible AI and data practices, including privacy, consent, governance, and fairness, in partnership with relevant control functions.

Required qualifications, capabilities, and skills

  • 3+ years of experience in product management, analytics, data science, engineering, or a comparable domain.
  • Strong data literacy and analytical judgment; comfortable using metrics and evidence to make product decisions.
  • Hands-on experience querying/analyzing data (e.g., SQL and/or Python) to support product discovery, measurement, and experimentation.
  • Strong product fundamentals: problem discovery, requirements definition, backlog management, and agile delivery (e.g., Jira or similar tools).
  • Clear written and verbal communication and strong cross-functional collaboration skills.
  • Comfort operating in ambiguity, learning quickly, and moving across problem spaces.

Preferred qualifications, capabilities, and skills

  • Exposure to AI/ML, personalization/recommendations, and/or experimentation in partnership with Data Science.
  • Experience designing or analyzing A/B tests and interpreting outcomes.
  • Familiarity with cloud delivery environments (e.g., AWS) and multi-channel customer experiences (mobile, web, servicing).
  • Bachelor’s degree in Engineering, Data Science, Business, or comparable field.
  • Interest in digital-banking trends and in privacy, consent, and fairness considerations in AI.

About JP Morgan Chase & Co.

JP Morgan Chase & Co. stands at the forefront of the global financial services industry. They offer an expansive array of products and services to a diverse clientele, including individuals, corporations, governments, and institutions. Ever since the merger of J.P. Morgan & Co. and Chase Manhattan Corporation in 2000, this industry-leading entity has become renowned for its comprehensive portfolio encompassing consumer and community banking, corporate and investment banking, commercial banking, as well as asset and wealth management. Headquartered in the vibrant city of New York, JP Morgan Chase & Co. boasts a formidable presence across over 100 countries worldwide.

Unveiling Employment Opportunities at JP Morgan Chase & Co.

Vacancies and Hiring Initiatives

JP Morgan Chase & Co. is continuously on the lookout for talented individuals eager to contribute to its legacy of excellence. The company's recruitment efforts are geared towards identifying candidates with the right blend of skills and qualifications to drive forward its various business segments. Whether you are a seasoned professional or a recent graduate, JP Morgan Chase offers a plethora of job openings across multiple disciplines.

High-Demand Positions

Among the myriad of roles, certain positions stand out for their attractive compensation packages and career advancement prospects. Notably, high-paying jobs at JP Morgan Chase & Co. include Relationship Manager, Branch Manager, and Software Engineer. These roles are critical to the firm's operations and offer lucrative opportunities for those with the requisite expertise.

Navigating the Job Market at JP Morgan Chase & Co.

Leveraging Job Portals and Job Alerts

For job seekers aiming to tap into the opportunities at JP Morgan Chase, staying updated through job portals and subscribing to job alerts is crucial. These tools can provide timely information about job openings, job fairs, and recruitment events, enabling candidates to apply promptly and prepare adequately for interviews.

Preparing Your Job Application

Your job application, comprising your resume and cover letter, is your ticket to securing an interview at JP Morgan Chase. Highlight your qualifications, skills, and experiences that align with the job listing, ensuring you stand out in the competitive job market.

Acing the Interview

Preparation is key to succeeding in your interview with JP Morgan Chase. Familiarize yourself with the company's business segments, values, and recent achievements. Demonstrating how your background and aspirations match the company's goals can significantly increase your chances of employment. A World of Job Opportunites in the Financial Services Industry JP Morgan Chase & Co. offers a world of job opportunities for those seeking to make their mark in the financial services industry. With competitive salaries, comprehensive benefits, and endless possibilities for growth, positions at JP Morgan Chase are highly coveted. By staying informed through job sites, tailoring your applications, and preparing thoroughly for interviews, you can enhance your prospects of joining the esteemed ranks of JP Morgan Chase employees. Explore the job board, seize the job opportunities, and embark on a rewarding career journey with one of the world's leading financial institutions.
Learn more about JP Morgan Chase & Co.
Size
661 employees
Market Cap
$384.5 billion
Industry
Finance & Insurance
Net Income
$29.1 billion
Founded
1823
5 Year Trend
+0.7%
Revenue
$261.5 million
NASDAQ
CCF
* Ladders Estimates

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