Hybrid Principal Product Manager, AML Screening – Agentic AI

at SEON

• Job title: Principal Product Manager, AML Screening – Agentic AI
• Job type: Full Time
• Experience level: Lead
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Location requirements: Hybrid, Budapest, Hungary

About the role

• Product Manager leading AML screening and agentic AI capabilities at SEON. Collaborating with engineering, executives, and product teams in a flexible and remote setup.

Responsibilities

• 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.

Requirements

• 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.

Benefits

• flexibility
• hybrid schedule
• remote setup