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Asset Management - Investment Platform - AI Product Owner - Associate

JPMorgan Chase

Asset Management - Investment Platform - AI Product Owner - Associate

JPMorgan Chase

LONDON, LONDON, United Kingdom, GB

·

On-site

·

Full-time

·

2mo ago

At a time of rapid change in the AI landscape, this is an exciting opportunity to help build and scale core AI platform capabilities used across J.P. Morgan Asset Management. As an Associate AI Product Manager on the SpectrumIQ / Investment Platform team, you will support the delivery of reusable AI capabilities including: Agent Frameworks, Orchestration, Call Summarization that enable AI use cases across the spectrum of AM.

This role is ideal for a product manager with strong technical curiosity who enjoys working closely with engineers and product owners to translate platform strategy into shippable capabilities.

Job Responsibilities:

  • Support the development and roll out of core AM AI platform capabilities, including:Agent framework and orchestration patterns
  • Natural language processing capabilities
  • Call / meeting summarization functionality
  • Work closely with engineers, data scientists and product managers to: Translate platform requirements into well-defined user stories
  • Maintain and prioritize a delivery backlog aligned to SpectrumIQ and cross-AM needs
  • Partner with senior product leads to:Gather requirements from Asset Management stakeholders
  • Ensure platform capabilities are reusable, scalable and aligned with broader AI strategy
  • Assist in maintaining roadmaps and delivery plans, providing visibility into progress, dependencies and timelines
  • Engage with engineering teams to understand integration requirements and how platform services will be consumed by downstream AI products and use cases
  • Support governance and intake processes to ensure platform work aligns with business priorities and risk, controls, and data governance standards
  • Communicate clearly and consistently with stakeholders on progress and dependencies, ensuring they are kept informed of status and issues or challenges
  • Contribute to the continuous improvement of product development processes and documentation

Required qualifications, capabilities and skills:

  • Experience supporting the delivery of products within a larger platform or ecosystem
  • Strong collaboration and stakeholder management skills, with the ability to work across product, engineering and governance teams
  • Comfort discussing technical concepts and a practical level
  • Familiarity with agile product development practices, including writing user stories and acceptance criteria

Preferred qualifications, capabilities and skills:

  • Understanding of the modern AI landscape
  • Problem-solving skills and ability to break problems into executable work
  • Willingness to take ownership of deliverables within a defined scope
  • Prior experience in financial services, asset management
  • Excellent written and verbal communication skills

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About JPMorgan Chase

JPMorgan Chase

JPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.

300,000+

Employees

New York City

Headquarters

Reviews

4.2

10 reviews

Work Life Balance

4.2

Compensation

4.3

Culture

4.5

Career

4.4

Management

4.1

75%

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Pros

Good pay and benefits

Work-life balance

Career advancement opportunities

Cons

Heavy workload at times

Career advancement takes time

Pay could be better in some roles

Salary Ranges

47 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

21 reports

$126,500

total / year

Base

$110,000

Stock

-

Bonus

-

$95,450

$155,250

Interview Experience

4 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

HireVue Video Interview

3

Technical/Behavioral Assessment

4

Final Interview Round

5

Offer Decision

Common Questions

Behavioral/STAR

Technical Knowledge

Past Experience

Culture Fit

Case Study