\\\\Description\\\\ At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, youll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Digital Labs is a high impact group within American Express with a mission to build on Amexs legacy of reinvention to lead innovation in FinTech and create products that make a difference in our customers lives. Our team focuses on crafting leading digital payment solutions, using our world-class servicing network and lifestyle assets to deliver outstanding digital experiences, and thinking entrepreneurially about emerging technologies to help drive new opportunities for American Express. \\\\How will you make an impact in this role?\\\\ As a \\\\Senior Associate Product Manager\\\\ , you will work with colleagues in the U.S. and U.K. to support how we leverage AI and data to drive more personalized and engaging user experiences. You will contribute to ensuring that the recommendation engine aligns with business goals and delivers strong customer outcomes across multiple products. Youll partner closely with cross-functional teams to monitor performance, support model refinement, and help drive data-informed enhancements. This is a highly collaborative and cross-functional role, working in close partnership with key stakeholders in Engineering, Decision Science, Ventures, as well as Labs Business Development & Product Enablement teams. \\\\Keys responsibilities\\\\ \\+ Develop a solid understanding of artificial intelligence and machine learning concepts, with hands-on experience applying these technologies within product development. \\+ Contribute to the implementation of personalization strategies in digital products or services, leveraging AI-driven approaches to enhance user experience and engagement. \\+ Apply strong analytical skills to interpret data insights, support product decisions, and identify opportunities to improve recommendation performance. \\+ Collaborate with engineering, data science, and business teams to translate business needs into clear product requirements for AI-powered features. \\+ Communicate effectively with both technical and non-technical stakeholders, contributing to a collaborative and fast-paced agile environment. \\\\Minimum Qualifications:\\\\ \\+ Experience in product management or a related role within a fast-paced, cross-functional environment \\+ Experience working in Agile development teams in partnership with engineering \\+ Exposure to AI/ML-driven products or features within the product development lifecycle \\+ Demonstrated ability to manage components of projects or initiatives, delivering on time with stakeholder alignment \\+ Interest in emerging technologies and AI, with the ability to understand and discuss their application in a business context \\+ Experience using structured approaches to support product development and innovation \\+ Comfort working with data and analytics to inform decisions and improve product outcomes \\+ Strong written and verbal communication skills, with the ability to tailor messaging to different audiences \\+ Proven ability to collaborate effectively across teams and functions \\+ Strong organizational skills and attention to detail \\+ Demonstrated ownership of workstreams or product areas, contributing to broader team goals \\+ Basic statistics knowledge through academic study (e.g., math, computer science, engineering, economics, physics) or comparable experience Employment eligibility to work with American Express in the UK is required as the company will not pursue visa sponsorship for these positions. \\\\Qualifications\\\\ We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: \\+ Competitive base salaries \\+ Bonus incentives \\+ Support for financial-well-being and retirement \\+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) \\+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need \\+ Generous paid parental leave policies (depending on your location) \\+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) \\+ Free and confidential counseling support through our Healthy Minds program \\+ Career development and training opportunities Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. \\\\Job:\\\\ Product \\\\Primary Location:\\\\ United Kingdom-London-London \\\\Schedule\\\\ Full-time \\\\Req ID:\\\\ 26005069

The role requires experience in product management or a related field within a fast-paced, cross-functional environment. Experience working in Agile development teams in partnership with engineering is necessary. Exposure to AI/ML-driven products or features within the product development lifecycle is also required. The candidate must demonstrate the ability to manage project components and deliver on time with stakeholder alignment. An interest in emerging technologies and AI, with the ability to discuss their business application, is important. Experience using structured approaches for product development and innovation, along with comfort working with data and analytics, is expected. Strong written and verbal communication skills, the ability to collaborate effectively across teams, and strong organizational skills are essential. Basic statistics knowledge through academic study or comparable experience is also needed.