Staff Product Manager
7 days ago
New York
Job DescriptionWHO WE AREAt Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments. As a global leader in Open Banking Payments, we are establishing Pay by Bank as the new standard at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide. Our Ambition: To build the world’s most disruptive payment network and redefine what the payment experience should feel like. Trustly is a global team of innovators, collaborators, and doers. If you are driven by a strong sense of purpose and thrive in a dynamic, entrepreneurial, and high-growth environment, join us and be part of a team that’s transforming the way the world pays. ABOUT THE ROLEAs Trustly’s Staff Product Manager for our next-generation consumer product (GoConsumer), you will define and drive the vision for a financial experience powered by intelligent automation, personalised coaching, and rewarding engagement systems. This role blends product strategy, AI-driven personalisation, behavioural design, and hands-on execution with engineering. You will own the evolution of our AI financial coach and our gamified engagement layer—two core pillars of how we help everyday earners improve their financial health and reduce their anxiety. Your work will shape how users interact with their money, build habits, and stay engaged over time. WHO YOU’LL WORK WITHYou’ll work closely with engineers, data scientists, behavioural scientists, designers, product marketers, and leadership. This is a highly cross-functional role where you’ll translate deep technical capabilities (open banking, data pipelines, ML models, LLMs) into intuitive, emotionally resonant user experiences that drive meaningful outcomes.WHAT YOU’LL DO • Lead the next phase of our AI financial coach, evolving it into a fully personalised, adaptive, conversational system that guides consumers towards their goals., • Partner with AI/LLM engineers to shape and refine the conversational and predictive behaviours of the coach — from how it reasons about money to how it guides users through budgeting, avoiding fees, and planning ahead., • Define and continuously improve evaluation approaches — both quantitative and qualitative — to monitor accuracy, tone, clarity, safety, and how well the coach completes real financial-coaching tasks., • Define the coaching logic, personalisation rules, and “reasoning framework” of the coach — when to nudge, when to step in, when to stay quiet., • Own the AI × human interaction design: tone, empathy, trust, explainability, safety, and compliance ensuring it hits the desired brand tone of voice., • Measure outcomes not only through engagement but visible improvements in financial health (savings, fewer overdrafts, more stability) from a consumer’s open banking data., • Design and iterate on engagement systems that make progress towards positive financial habits rewarding (streaks, milestones, progress bars, missions, challenges)., • Own motivational loops built on behavioural science — turning short-term actions into long-term habits without manipulation or compliance risk., • Partner with UX researchers and behavioural scientists to define user psychology frameworks that demonstrate real behavior change., • Collaborate with data teams to personalise challenges and goals based on each user’s behaviour, needs, and risk profile., • Define and track key behavioural engagement metrics such as DAU/MAU, streak completion, task participation, and retention as well as the key financial metrics - unit product economics and overall financial viability of the GoConsumer service., • Work with Product Marketing to position these gamified experiences as a core part of our narrative and differentiation in a crowded market., • Leverage technical understanding (CS, AI, ML, modern architecture) to work seamlessly with engineering, make smart trade-offs, and maintain scalability and security., • Present product strategy, learnings, and performance to executive leadership., • Partner tightly with Compliance, Risk, Data, and Operations to ensure everything meets regulatory and safety standards., • Drive us toward product-market fit by identifying the highest-value user problems, validating what truly moves financial outcomes, and rapidly iterating the coach’s behaviours, features, and engagement loops based on real user data, experiments, and feedback.WHO YOU ARE, • 7+ years of Product Management experience in consumer fintech, high-quality mobile UX products, or engagement-driven apps (e.g., habit-forming or game-inspired systems), ideally with exposure to AI-powered experiences vs pure if-then-else., • Experience working directly with machine learning teams, large language models, or personalisation systems., • Proven experience designing or operating gamification, motivation mechanics, loyalty loops, or habit-building features., • Experience growing a consumer fintech productA good understanding of financial concepts such as lending, financial management, and cards., • Strong technical fluency — you can discuss architecture, data flows, and model behaviour with engineers and data scientists and can quickly vibe code high quality fully functioning prototypes using the latest tools e.g. Claude code / CodexYou thrive in ambiguity, move quickly, and enjoy building 0→1 products., • You’re deeply user-centric, combining empathy, behavioural insight, and quantitative reasoning., • You can translate complex user needs and technical capabilities into a clear roadmap and crisp execution., • Excellent communicator with the ability to influence across leadership, engineering, and design., • Preferably a technical degree like Computer Science, Software Engineering or Machine Learning., • You are collaborative, open, and able to work seamlessly with cross-functional teams while keeping momentum and alignment., • Comfortable with the financial metrics of product management - predicting long term financial viability through monitoring unit economics., • Comfortable navigating evolving requirements and shifting constraints, bringing clarity, structure, and steady decision-making as the product develops at speed.