About the role
HoneyBook is the leading AI-powered business management platform for service-based business owners. Designed to enhance—not replace—independent professionals, HoneyBook’s AI-powered tools help businesses attract leads, connect with clients, book projects, and manage payments more efficiently. With AI seamlessly integrated into every workflow, entrepreneurs can focus on their craft while scaling their businesses with confidence. Since its founding in 2013, HoneyBook has powered over 25 million client relationships and processed more than $12 billion in transactions, helping independent businesses grow faster and smarter. Our culture is built on five core values that inform everything we do. We encourage collaboration, feedback, ownership and have a growth mindset. We know experience comes in many different forms, some visible on your resume, others not. If you thrive in a fast-paced, intellectually-charged, people focused environment and have similar experience to what we are looking for, we encourage you to apply. We are looking for a Senior Fraud Analyst to serve as the technical cornerstone of our Fraud Prevention team. In this role, you won't be managing a team; you’ll be managing the technical evolution of our fraud defenses. Reporting directly to the Fraud Prevention Director, you will act as a high-level individual contributor, bridging the gap between data science, engineering, and risk strategy. You will be responsible for pioneering the use of AI and advanced analytics to protect our community and ensure our platform remains the safest place for independent businesses to grow. Here are a few of the things you'll do: Technical Strategy & Architecture: Partner with the Fraud Prevention Director to define the long-term technical roadmap, moving HoneyBook toward an AI-first, autonomous fraud detection ecosystem. AI & LLM Integration: Design and implement Generative AI agents and LLM-powered workflows to automate complex forensic investigations, reducing the time-to-detect for emerging fraud vectors. Advanced Detection Modeling: Develop and prototype sophisticated ML models and graph-based heuristics to identify collusion, synthetic identities, and fraud rings. Cross-Functional Technical Lead: Serve as the primary technical consultant to Product and Engineering, ensuring that new payment features (like RTP or international expansion) are built with scalable, AI-driven safeguards from day one. Expert Forensics: Act as an escalation point on high-stakes, large-scale fraud attacks, utilizing advanced Python and network analytics to deconstruct and mitigate threats. Data Excellence: Set the standard for the fraud team’s technical stack. You will optimize our SQL/Python environments and ensure our data infrastructure is capable of supporting real-time AI inference. Interested? Here's