Product Manager AI (AI & Machine Learning)

American Express Global Business Travel
Manchester
4 days ago
Create job alert

Amex GBT is a place where colleagues find inspiration in travel as a force for good and – through their work – can make an impact on our industry. We’re here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued.

As a Product Manager, you’ll be the strategic mastermind connecting the dots between user needs, technological innovation, and business goals on a global scale. If you’re passionate about creating products that can improve the travel experience, we’d love to meet you. 

What You’ll Do on a Typical Day:

Define and execute the product roadmap for AI-powered features, ensuring alignment with business goals (AI & Machine Learning) Collaborate with the Engineering Managers and the AI Engineers to develop and deploy machine learning models and GenAI products into production. Prioritize all AI initiatives based on impact, feasibility, and alignment with user needs and company strategy. Translate complex AI / GenAI / Machine Learning concepts into business-friendly language to communicate effectively with stakeholders. Define key success metrics and track their performance over time in collaboration with the team. Gather user feedback and analyze market trends to inform future AI-driven features.

What We’re Looking For:

5+ years for a Bachelor's degree or equivalent. Solid understanding of AI (GenAI & Machine Learning) fundamentals, including model lifecycle, data quality, and performance metrics. Experience collaborating with data scientists and engineers to bring models from concept to production. Knowledge of emerging concepts like Machine Learning, agentic and predictive analytics. Strong communication skills, including the ability to convey complex and abstract concepts to both technical and business teams, peers, and leadership. Data-driven approach by understanding existing key performance indicators and the importance of metrics in defining success. Demonstrated ability to understand and lead a cross-functional engineering team in collaboration with the Engineering Manager. Influencing skills, including experience working within a large matrix organization. Experience working in an agile environment, managing backlogs, and prioritizing using data. Knowledge of the business travel domain is appreciated.

#GBTJobs

Location

Manchester, United Kingdom

The #TeamGBT Experience

Work and life: Find your happy medium at Amex GBT.

Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family.

Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals.

Develop the skills you want when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first.

We strive to champion Inclusion in every aspect of our business at Amex GBT. You can connect with colleagues through our global INclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action.

And much more!

All applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law.

for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance.

Furthermore, we are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process. For details regarding how we protect your data, please consult the .

What if I don’t meet every requirement? If you’re passionate about our mission and believe you’d be a phenomenal addition to our team, don’t worry about “checking every box;" please apply anyway. You may be exactly the person we’re looking for!

Related Jobs

View all jobs

AI Product Manager - Data Science

Product Manager - Machine Learning

Product Manager III - Artificial Intelligence & Machine Learning Platform

Sr Product Manager, Data Science

Product Owner - Assurance (AIOps, Network Monitoring, Fault Managemen

Machine Learning Manager

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.