Lead strategy and delivery of AI-driven products for banking operations, identify high-impact AI use cases, own roadmaps and PRDs, manage cross-functional teams through launch, and drive stakeholder alignment to achieve measurable business outcomes.
Join us as we build the next generation of AI and autonomous agents to solve critical operational challenges at the scale of the world’s largest bank. You will have the opportunity to shape product strategy and delivery, working with cutting-edge technologies and collaborating with leaders across Product and Technology. Your expertise will help us translate business needs into impactful solutions, leveraging LLMs, agentic orchestration, and ML platforms. This is your chance to make a measurable impact and advance your career in a dynamic, innovative environment.
As an AI Product Manager in the Corporate and Investment Banking operations team, you will lead the strategy and delivery of AI-driven products that automate and improve key operational workflows. You will partner with cross-functional teams to translate business requirements into actionable roadmaps and shipped capabilities. Your role will focus on driving measurable business outcomes, fostering collaboration, and ensuring alignment across stakeholders. You will help shape the future of AI at JPM, contributing to a culture of innovation and excellence.
Job Responsibilities:
- Identify high-impact use cases where AI and agentic services improve key performance indicators.
- Own product strategy, roadmap, and product requirements documents to enable platform capabilities.
- Lead project teams of engineers, designers, analysts, and business leads through technical and non-technical decisions to launch.
- Develop and execute comprehensive project plans, incorporating technical requirements, resource estimates, and timelines.
- Communicate and drive alignment with senior stakeholders, securing buy-in and unblocking decisions.
Required Qualifications, Capabilities, and Skills:
- Significant product management or related technical experience delivering AI products end-to-end.
- Ability to ship AI-enabled products and lead complex programs in large, matrixed organizations.
- Experience driving the full product lifecycle, writing product documents, and leading technology teams from idea to execution and launch.
- Familiarity with AI model architectures, including Large Language Models, and methods such as prompting, context engineering, fine-tuning, retrieval augmented generation, model context protocols, and agentic frameworks.
- Excellent stakeholder management, structured thinking, and ability to connect product work to business outcomes.
Preferred Qualifications, Capabilities, and Skills:
- Experience designing robust evaluation sets and running quantitative and qualitative iterations to achieve reliable production quality.
- Familiarity with cloud and data platforms, such as AWS, data management, and machine learning tooling.
- Advanced degree in a relevant field.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorganChase London, England Office
25 Bank Street, Canary Wharf, London, United Kingdom, E14 5JP
Similar Jobs
Artificial Intelligence • Legal Tech • Software
Lead end-to-end technical implementations for Legora's AI-native platform: manage integrations (SSO, DMS, APIs), act as primary technical contact, deliver training, provide post-rollout support, coordinate cross-functional teams, and feed implementation insights back to product and engineering to ensure smooth customer onboarding and adoption.
Top Skills:
APIsAuthentication ProtocolsDmsImanageNetdocumentsSharepointSso
.jpg)
Marketing Tech • Mobile • Software
Drive partner ecosystem growth by building joint business plans, enabling partner-led opportunities, coaching GTM teams, running account mapping and QBRs, and fostering strong relationships with technology and agency partners to generate pipeline, support deals, and improve customer adoption and retention.
Top Skills:
BrazeBrazeaiCrossbeam
Artificial Intelligence • Legal Tech • Software
Embed with enterprise clients to design, build, and maintain production-grade integrations between Legora and customers' legal tech stacks. Own technical scoping, deliver reusable connectors and automation, debug production issues, and communicate technical feedback to Product, Engineering, Sales, and Customer Success to improve deployments.
Top Skills:
APIsData PipelinesImanageNetdocumentsOidcRest ApisSAMLSharepointSsoWebhooks
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
