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Technical Product Manager — AI Native Onboarding Platform
LONDON, LONDON, United Kingdom, GB
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On-site
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Full-time
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1w ago
Technical Product Manager — AI‑Native Onboarding Platform
JPMorgan International Consumer is building a next-generation, AI-native digital onboarding platform—modular, highly configurable, and scalable across products and geographies. We’re hiring a VP-level Technical Product Manager to help drive the platform to completion and rollout, partnering closely with engineering, operations, and risk/compliance stakeholders. Onboarding/KYC domain experience is a plus, not a prerequisite—we’re prioritizing strong 0→1 product building, technical fluency, and an AI-first approach.
What you’ll do
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Own product delivery end-to-end: define product outcomes, MVP scope, roadmap, and release plans; drive execution from discovery through launch and iteration.
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Lead with engineering: translate business needs into clear epics/stories, acceptance criteria, and decision logic; drive sequencing, tradeoffs, and delivery rigor across teams.
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Build AI-native capabilities: identify high-impact AI use cases that reduce onboarding friction (e.g., intelligent intake, document understanding, dynamic question flows, reviewer assist, summarization, exception triage) and deliver them responsibly with appropriate controls and human-in-the-loop design.
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Design for modularity & configurability: evolve reusable platform components and configuration-driven approaches that support multiple products and regions.
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Drive measurable outcomes: define and instrument KPIs (e.g., time-to-onboard, straight-through processing, drop-off, exception rates, SLA adherence, rework/defects) and iterate based on data.
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Align stakeholders: manage communication and interlocks across Product, Technology, Operations, and Risk/Compliance to ensure clarity of goals, decisions, and delivery commitments.
What we’re looking for
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VP-level product leadership: proven ability to lead complex product delivery in cross-functional environments and to drive outcomes through influence and clarity.
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Technical product management depth: strong fluency in software delivery, APIs/integrations, workflow patterns, and data concepts; able to write requirements that engineers can build from.
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0→1 builder mindset: experience taking new platform capabilities from concept to MVP to adoption; comfortable operating with ambiguity and creating structure.
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AI-first thinking: enthusiasm for applying AI to real customer and operator workflows, with pragmatic judgment around safety, monitoring, and explainability.
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Strong communication: excellent written and verbal skills; crisp at prioritization, stakeholder management, and decision-making.
Nice to have (not required)
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Exposure to onboarding, identity, KYC/AML, screening, risk, or case/casework platforms.
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Experience delivering configurable/rules-driven platforms across multiple markets or regulatory contexts.
Join us to build a scalable, AI-native onboarding platform that improves customer experience, reduces operational friction, and accelerates growth across products and regions.
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan 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
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