Principal Product Manager, AML Screening & Agentic AI at Seon

SEON is the command center for fraud prevention and AML compliance, helping thousands of companies worldwide stop fraud, reduce risk and protect revenue. Powered by 900+ real-time, first-party data signals, SEON enriches customer profiles, flags suspicious behavior and streamlines compliance workflows - all from one place. SEON provides richer data, more flexible and transparent analysis, and faster time to value than any other provider on the market. We’ve helped companies reduce fraud by 95% and achieve 32x ROI, and we’re growing fast, thanks to our partnerships with some of the world’s most ambitious digital brands like Revolut, Wise, and Bilt. This position will join SEON's AML Product team, reporting to the Head of Product, AML. The immediate team includes AML product managers, OSINT researchers and data engineers. This position will work closely with Budapest-based engineering squads building SEON's screening and monitoring products, and collaborate regularly with SEON's CEO, CPO and executive leadership on product strategy and competitive positioning. You won’t be handed a predefined roadmap. Our AML products already include an AI screening agent that triages sanctions, PEP, RCA and adverse media hits, real-time customer and payment screening through a single API, and something no pure-play AML vendor can match: 900+ fraud signals feeding compliance decisions before the KYC process even starts. Where this goes next is a question you will answer. The market is moving fast (perpetual KYC, agentic AI in production workflows, fraud-and-AML convergence, explainability as regulatory table stakes) and we need a product leader with the conviction and technical credibility to identify where SEON creates the most value and build the products that capture it. This role offers flexibility and can be based in Budapest, Hungary with a hybrid schedule, or anywhere in the UK or EU with a remote setup, including occasional travel to our other offices. WHAT YOU’LL DO: - Own the product strategy for AML screening and agentic AI capabilities. This includes discovery, market research, competitive intelligence, PRD authorship and go-to-market coordination. - Work directly with engineering squads in Budapest, participating in design reviews, unblocking technical decisions and staying close enough to implementation that you can spot problems before they become expensive. - Think about product scope in terms of ranges: the simplest version that solves the core problem and the more comprehensive version that captures the full opportunity. That range gives you and the team room to make thoughtful decisions about investment, sequencing and when to ship versus when to keep building. - Mentor junior and mid-level Product Managers by guiding their approach to problem-solving. This includes helping them translate regulatory requirements into product decisions, assess the practical value of AI capabilities beyond demonstrations, and make informed decisions about discontinuing features that are not delivering value. - Serve as the internal subject matter expert on the AML screening competitive landscape. Monitor developments from both established providers and emerging competitors, identify gaps and limitations in their offerings, and assess areas where the market is underserved. Apply these insights to inform SEON’s positioning and product priorities. - Advise and guide Executive leadership on product strategy, competitive threats and market timing. - Define success metrics that link product performance to customer outcomes, such as false positive reduction rates, analyst time savings, screening latency, and customer onboarding velocity. Treat those metrics as evidence to inform decisions, not targets that dictate them. WHAT YOU’ll BRING: - Product management experience in B2B SaaS, with real time spent in compliance technology, Regtech, financial crime prevention or an adjacent regulated domain. - Strong working knowledge of AML regulatory frameworks and their application to product development. Ability to confidently discuss FATF standards, the EU AMLA timeline, BSA/FinCEN requirements, and OFAC screening obligations without reliance on supporting materials. - Proven experience operating at the intersection of AI/ML and regulated workflows. Track record of building products—such as screening, transaction monitoring, fraud detection, or identity verification—where model performance and regulatory compliance must be balanced and maintained simultaneously. - Sufficient technical depth to serve as a credible partner to engineering teams. Comfortable interpreting API documentation, assessing trade-offs in matching algorithm design, evaluating screening engine architecture, and collaborating effectively with data scientists on model performance. - Proven track record of delivering products that drive measurable impact, including reduced operational costs, improved detection accuracy, lower false positive rates, accelerated onboarding, and new revenue generation. - The ability to synthesize scattered signals into product direction. The information that matters most rarely arrives in neat packages. It is spread across customer conversations, regulatory developments, competitive moves and technical breakthroughs. You are good at piecing those signals together and forming a point of view worth acting on. (AMAZING IF YOU ALSO HAVE) - Experience with agentic AI patterns: multi-agent orchestration, tool calling, human-in-the-loop workflow design, retrieval pipelines, evaluation frameworks, explainability architectures. You do not need to have built these from scratch, but you need to know enough to make sound product decisions about them. - Familiarity with screening engine internals: fuzzy matching algorithms (edit distance, Jaro-Winkler), phonetic matching (Soundex, Metaphone), transliteration handling, name normalization across non-Latin scripts. - Prior work with adverse media screening, PEP/RCA data sources, sanctions list management or beneficial ownership verification. - Experience building products for both technical users (such as engineers and architects) and business stakeholders (such as compliance and financial crime leaders), with an understanding of their differing needs and evaluation criteria - You already use AI tools (Claude Code, Cursor or equivalent) in your own work. Not as an experiment. As part of how you think, write, research and build. SEON Technologies collects and processes personal data in accordance with applicable data protection laws. If you are a European Job Applicant see the privacy notice [Upgrade to PRO to see link] for further details. SEON is an equal opportunity employer. We strive to embrace what makes each one of us unique; we each have our own story. Whether looking at our current staff or future team members, we believe that everyone has something to contribute, and our employment practices reflect that. We do not make an employment decision based upon race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Please let your recruiter know if you need reasonable adjustments to our recruitment process.