Senior Product Manager, Data & Agentic Products

ABOUT PLEO 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 Pleo has over 40,000 customers and a decade of unique spend data. This role is about turning that asset into products customers actively use - from ML-powered features that automate expense capture and surface spend intelligence, through to a network of autonomous AI agents that execute financial workflows end-to-end. As Senior PM for Data & Agentic Products, you will own the full product strategy across three areas: the data-driven (ML, analytics) features embedded in product, the agentic capabilities and the production data layer - APIs, connectors. You will work alongside the Engineering Managers for the GenAI Platform and Data & AI Products teams, Product Designers and other PM colleagues. THE ROLE As the Senior PM for Data & Agentic Products, you will own the end-to-end product strategy, reasoning engines, and autonomy frameworks that power Pleo’s AI agents. You won’t just be building chatbots; you will be building autonomous systems that can reason, plan, access corporate financial data securely, and take actions across the Pleo ecosystem and external SaaS tools. You will focus heavily on how data feeds these agents to optimize their performance, building the core intelligence that allows AI to act as a trusted, proactive teammate for finance leaders and employees alike. WHAT YOU’LL DO - Shape the data & AI strategy: Define and execute Pleo’s roadmap to transition from automated workflows to true agentic autonomy (systems that can plan, execute tools, self-correct, and learn). - Data as the fuel: Define what data agents need to reason effectively - across receipts, bank feeds, ERP data, and corporate policies - and translate that into clear requirements for the data and platform teams who build the retrieval and grounding layer underneath. - Build and scale agents: Own the lifecycle of agent development, from initial intent recognition and planning frameworks to execution and multi-agent coordination. - Agent evaluation & guardrails: Oversee the development of robust evaluation frameworks, memory persistence, and human-in-the-loop (HITL) guardrails to ensure 100% financial accuracy and trust in partnership with our platform LLM Ops tools (e.g., BrainTrust). - Cross-functional leadership: Partner with GenAI Platform team, Data Platform teams, Product Engineering, Product Designers, Security and Legal to build a scalable, compliant, and highly intuitive agentic ecosystem. WHAT WE ARE LOOKING FOR Core experience - 4+ years in Product Management, with at least 2 years focused heavily on AI/ML, LLM orchestration, autonomous systems, or intelligent automation. - Hands-on Data & Agentic Knowledge: Deep familiarity with agent frameworks and agentic architectures - tool use, function calling, multi-step orchestration, and the trade-offs between off-the-shelf frameworks and in-house implementations - Data & Infra Fluency: You understand RAG (Retrieval-Augmented Generation), vector databases, and how data pipelines impact AI behavior. You are comfortable navigating architectural discussions around LLM gateways (LiteLLM), MCP layers, and the product implications of Python/Kotlin hybrid environments. - FinTech/B2B SaaS Background (Bonus): Experience in expense management, accounting workflows, or fraud detection is a massive plus. You understand the high accuracy and low risk tolerance required when AI handles money. YOUR TECHNICAL & PRODUCT MINDSET "An Agent is only as good as its data and context." You live by this rule. You are a highly technical PM, capable of evaluating LLM latency, benchmarking agent accuracy, and collaborating deeply with AI, data platform engineers, while keeping a laser focus on solving real customer friction. WHY THIS ROLE IS DIFFERENT Unlike generalist AI PM roles, this role sits at the intersection of action, logic, and data. Pleo has over 40,000 customers and a decade of unique spend data - your mandate is to build agents that actually do the work for finance teams, not just surface information for humans to act on. This role is not a good fit if - You need a stable product surface to work with. The AI product space is fast-moving, and the role requires building the product playbook alongside the team. - You are not comfortable working across team boundaries. The team's output lives inside other teams' products; alignment and relationships are core to the job, not a distraction from it. - You want to own a dedicated end-to-end product squad. This role is about the Data & AI product portfolio - the end customer experience lives in the broader Pleo product. YOUR FIRST 6 MONTHS - Develop a deep understanding of Pleo's AI capabilities, data assets, and the product areas where agents can create the most immediate and durable customer value. - Establish strong working relationships with product PMs, squads, and the GenAI Platform engineering leadership across the organisation - you cannot do this job from inside the data function alone. - Own and publish a clear product strategy and roadmap for Data & Agentic Products: what is being built, why, and in what order - and use that to drive prioritisation conversations with the GenAI Platform team. - Define evaluation methodology and quality bars for at least two live features - what does good look like, how do we measure it, and what is the baseline today. 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 - We use MyndUp to give our employees access to free mental health and well-being support with great success so far - 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 THE INTERVIEW PROCESS We want to ensure you are set-up for success and understand what will be expected of you. If your application is successful, our interview process is as follows: - Intro Call (30 min) – Chat with a Talent Partner to discuss the role and your background. - Hiring Manager Interview (60 min) – Meet your future manager and Product Lead to review your domain experience and skills. - Take-Home Case Study – Solve a fictional product challenge, then present your solution to a panel in a 1 hour session. We’ll assess your problem-solving, product thinking, and strategic reasoning. - Executive Interview (30 min) – Conversation with our CPO about product strategy and vision, plus discuss