DataVisor

Builds high-scale data pipelines, distributed systems, and AI agent workflows using LLMs for fraud intelligence platform. Requires 2+ years software engineering, Python proficiency, big data tools, AWS/K8s, and ML foundations.

Analyzes and improves GTM systems, processes, reporting, and automation across cross-functional teams. Requires a bachelor's degree, CRM and marketing automation experience, strong analytical and communication skills, and preferably 1–2 years of relevant experience.

Entry-level data scientist developing machine learning models and analytical methods to detect fraud, assess risk, and uncover patterns in large transactional datasets. Requires a master’s degree, strong Python and SQL skills, and knowledge of supervised and unsupervised learning.

The Security Engineer will secure AWS and Google Cloud environments, monitor infrastructure, and assess AI/LLM deployments, MCP integrations, and agentic workflows. The role requires 5+ years of security engineering experience, including 2+ years in AI/ML security, plus cloud security and compliance expertise.

The Product Marketing Manager will lead PR and Analyst Relations while creating differentiated product narratives, thought leadership, and marketing assets for an AI-powered fraud and risk platform. The role requires strong writing, cross-functional execution, AI workflow fluency, and at least five years of professional experience.

Hands-on Data Scientist building pre-built fraud detection models and AI strategies for real-time payments and AML solutions. Requires MS degree, 1+ year experience, Python/SQL proficiency, and statistical modeling skills.

The Senior Technical Account Manager advises fraud and risk teams on platform adoption, integrations, implementation, troubleshooting, and machine-learning solutions. The role requires 10+ years in a customer-facing technical role within banking, payments, social, or e-commerce, plus a technical or analytical bachelor’s degree.

Lead and grow the Platform Engineering team building DataVisor's large-scale AI-based fraud and risk decision platform. Set technical vision for real-time/batch unified decisioning using big data, streaming, and agentic AI technologies while driving cross-functional execution and talent development.

Serve as strategic partner to enterprise clients in FinTech, Banking, and E-commerce, driving ROI from DataVisor's AI-powered fraud detection and AML SaaS platform through performance monitoring, best practices guidance, and cross-functional advocacy.

This senior customer success role partners with enterprise fintech, banking, payments, and e-commerce clients to optimize fraud and AML outcomes, improve adoption, and drive measurable ROI. It requires 5+ years of relevant experience, strong analytical skills, and the ability to lead executive customer engagements.

Senior Strategic Account Manager responsible for managing and expanding enterprise accounts up to $10M ARR at DataVisor. Focus on building C-level relationships, driving adoption of AI-powered fraud and risk platform, executing upsell strategies, and achieving revenue growth targets in financial services.

Coordinates engineering sprints, QA, releases, incident response, and cross-team technical projects. The role requires Scrum and Jira expertise, technical systems and cloud software experience, strong stakeholder communication, and a bachelor's degree or equivalent software-environment experience.

Provides technical product and system support for SaaS fraud-prevention clients, troubleshooting issues, monitoring system health, and coordinating escalations with engineering and product teams. The role requires 5–7 years of technical support experience and residency in Japan.

Leads client-facing delivery and onboarding projects, designing and implementing integrations that meet technical and business requirements. The role requires a bachelor's degree, strong communication and problem-solving skills, and familiarity with software architecture and system integration.

Manages client-facing technical delivery, onboarding, integrations, and engineering workstreams for fraud and risk platform implementations. Requires technical project management experience, strong solutioning and communication skills, and a bachelor’s degree in a relevant field.

Senior Strategic Financial Analyst building SaaS financial planning infrastructure and serving as GTM finance partner. Requires 5+ years in FP&A/Strategic Finance, Salesforce expertise, and advanced Excel modeling skills.

Leads technical client engagements for fraud and AML solutions, including data analysis, platform configuration, ML model optimization, and strategy development to enhance risk detection and business outcomes. Requires 4+ years in fraud/AML and advanced SQL skills.

Manages and grows strategic enterprise accounts up to $10M ARR, driving upsells, renewals, and customer success in fraud/risk SaaS solutions. Requires 6+ years SaaS account management experience and financial services knowledge.

Builds scalable machine learning systems for real-time fraud detection using unsupervised/supervised ML, big data tools like Spark and Kafka, and streaming technologies. Requires 1-5 years experience in Java, Python, Shell, and big data technologies.

Builds machine learning systems using unsupervised/supervised algorithms and deep learning to detect fraud in real-time. Designs distributed streaming systems with big data technologies like Spark, Kafka, and Flink. Requires 5+ years in Java, Python, Shell.

Leads Platform Engineering team building scalable AI-based fraud detection platform with real-time decisioning. Manages engineers, architects systems using big data tech like Spark/Flink, requires 3+ years management and 8+ years development experience.

Senior Technical Account Manager manages client relationships as a trusted technical advisor for fraud and risk teams, overseeing data integration, resolving technical issues, architecting ML solutions, and driving platform adoption and success.