Job Description

Product Manager – ClaimGuard: Fraud Detection System

We are seeking a highly motivated and bilingual Product Manager to lead the development and delivery of our fraud detection system, which combines advanced machine learning models, rule-based flagging, and AI-powered image and text analysis. This is a hands-on role that requires close collaboration with customers, engineers, and internal stakeholders to define product requirements, manage implementation, and ensure successful adoption. This PM also functions as a Solutions/Product Engineer who can assess data readiness, shape technical solutions, and translate between business needs and engineering constraints. Application Deadline February 28, 2026 Department 200 Sales & Revenue Employment Type Full Time Location Remote, Japan Workplace type Fully remote Reporting To Mitsuhiro Nakano

Key Responsibilities


  • Act as the primary product influencer for the fraud detection system.


  • Meet with insurance clients and other stakeholders to gather detailed requirements and feedback.


  • Translate customer needs into clear, actionable Business Requirement Documents (BRD) and user stories.


  • Collaborate closely with engineering, data science, and UX teams to productize ML and AI-based features.


  • Drive end-to-end project delivery including scope definition, timeline management, and stakeholder communication.


  • Continuously improve the product based on market insights, customer feedback, and performance metrics.


  • Support customer onboarding, demonstrations, and pilot implementations as needed.


  • Manage feature development across core ML/AI models and supporting detection systems, including OCR & image processing, link analysis, document comparison, and metadata analysis.


  • Join discovery calls to evaluate customer data fit, propose ingestion/mapping plans, and design pilot scaffolding. Explain gradient-boosted model behavior to non-technical stakeholders and lead POCs/pilots with clear success metrics.


  • Acts as the bridge among customers, product consultants, and engineering, producing crisp artifacts from ambiguous inputs. Comfortable running bilingual workshops and maintaining clear docs/tickets.

    • Skills, Knowledge & Expertise


  • 3+ years of experience in product management, preferably in insurtech, AI/ML, or enterprise software.


  • Strong understanding of fraud detection systems, machine learning concepts, and/or rule-based engines.


  • Proven experience in writing BRDs and managing cross-functional software development projects.


  • Native-level Japanese and business-level English proficiency.


  • Located in Tokyo, with flexibility to visit customer sites frequently.


  • Proficiency in data manipulation and management (e.g., Python, SQL) to extract insights, analyze trends, and address customer inquiries efficiently.


  • Understanding of data privacy regulations (APPI, GDPR) and their implications for insurance data and AI use.


  • Experience working with insurance carriers or within the insurance industry.


  • Technical fluency to understand and explain machine learning and AI features.


  • Background in data analysis, UX/UI collaboration, or agile project management.


  • Experiencing delivering approved solution designs and launching 1–2 KPI-driven pilots.

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