Senior Product Manager - Decision Intelligence

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Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike-with a vision to help all businesses 'go beyond'.

The word 'Pleo' actually means 'more than you'd expect', and living by that mantra has been the secret to our success over the last 10 years.

Now, we're at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can't say we've got this whole thing figured out. And frankly, that's half the fun! What we can say is that we're a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together.

About the role
We're looking for aSenior Product Managerto join our Decision Intelligence team in the Enterprise Engineering vertical. In this role, you'll drive the vision, strategy, and execution of our fraud prevention and AML technology stack building advanced capabilities that protect our customers, mitigate risk, and ensure we scale safely.

If you're excited about building intelligent, high-impact systems that combine data science, engineering, and risk expertise, and you thrive in tackling complex fraud and compliance challenges at scale, this is your opportunity to make a tangible difference to thousands of businesses.
What you'll be doing
As a Senior Product Manager - Decision Intelligence, you will:

• Lead the roadmap for our fraud and AML decisioning platform, from early detection to real-time prevention.
• Collaborate with engineering, data science, compliance, and finance teams to design scalable, automated controls.
• Use data-driven insights to identify evolving fraud and AML patterns, and translate them into actionable product solutions.
• Partner with regulators, compliance, and operations teams to ensure our tech stack meets (and exceeds) regulatory standards.
• Drive continuous improvement of fraud detection accuracy and operational efficiency through experimentation and innovation.
• Advocate for a proactive, prevention-first approach to risk across the organisation.
• Experience with machine learning-driven decisioning probabilistic systems.

You'll thrive in this role if you have:

• Proven experience building or scaling fraud prevention and AML technology stacks in fintech, banking, or payments.
• Deep understanding of fraud typologies, transaction monitoring, case management tools, and compliance workflows.
• Strong product management skills from shaping vision and strategy to delivering features that drive measurable impact.
• Data fluency: ability to work closely with analysts and data scientists to define metrics, assess performance, and iterate fast.
• An appetite for risk - not in taking it recklessly, but in owning the responsibility of managing it intelligently.
• Clear communication and stakeholder management skills to influence at all levels.
• A track record of working in cross-functional, fast-paced environments where priorities shift quickly.

Nice to have:

• Exposure to enterprise-scale fintech or payments platforms.
• Familiarity with European AML regulations and fraud risk frameworks.

Who you'll be working with and reporting to:

You'll report to our Group Product Manager, Roshni Bharadwaj and work closely with teams across Pleo and operations team. Our team of 5 is highly collaborative cross competence. You'll also have the chance to partner with teams across Payments and Finance domain to ensure success.

In your first 6 months at Pleo, you'll:

• Lead the delivery of new real-time fraud and AML detection capabilities.
• Strengthen our fraud loss prevention rate through data-driven interventions.
• Shape the evolution of our decisioning platform to support new markets, products, and regulations.
• Build strong partnerships with internal stakeholders and external partners to accelerate delivery.

We're committed to helping you grow - whether it's taking ownership of larger product domains, developing leadership skills, or deepening your expertise in advanced decision intelligence.

We're happy to share more about our approach to pay and this range during your first call with us!
Show me the benefits!

• Your own Pleo card (no more out-of-pocket spending!)
• Lunch is on us for your work days - enjoy catered meals or receive a lunch allowance based on your local office 🍜
• Comprehensive private healthcare - depending on your location, coverage options include Vitality, Alan or Médis
• We offer 25 days of holiday + your public holidays
• For our Team, we offer both hybrid and fully remote working options
• Option to purchase 5 additional days of holiday through a salary sacrifice
• Paid parental leave - we want to make sure that we're supportive of families and help you feel that you don't have to compromise your family due to work 👶

About your application

• Please submit your application in English; it's our company language so you'll be speaking lots of it if you join 💕
• We treat all candidates equally: If you are interested please apply through our application system - any correspondence should come from there! Our lovely support team isn't able to pass on any calls/ emails our way - and this makes sure that the candidate experience is smooth and fair to everyone 😊
• We can only achieve our goals if our team reflects the diversity of the world around us - and that starts with you, hitting apply, even if you are worried you might not tick all the boxes. We embrace and encourage people from all backgrounds to apply - regardless of race/ethnicity, colour, religion, nationality, gender, sex, sexual orientation, age, marital status, disability, neurodiversity, socio-economic status, culture or beliefs.
• When you submit an application we process your personal data as a data processor. Find out more about how your data is used in the FAQs section at the bottom of our jobs page.