DataVisor

Provide technical product and system support, triage bugs, perform root cause analysis, and collaborate with engineering for product enhancements. | Bachelor's degree and 3+ years technical support in SaaS Big Data Analytics with strong troubleshooting and communication skills; coding skills a plus. | About DataVisor: DataVisor is a next generation security company that utilizes industry leading technologies to detect fraudulent activity for financial transactions, mobile user acquisition, social networks, commerce and money laundering. Our solution is used by some of the largest enterprises in the world to protect them from the ever-increasing risk of fraud. These companies include FedEx, SoFi, Affirm, Synchrony Financial, Western Union, Booking.com, and Sony. DataVisor holds a rich portfolio of AI-powered SaaS products, such as Risk Platform, dEdge SDK, Unsupervised Machine Learning modeling platform, Case Management and Knowledge Graph. Our award-winning software is powered by a team of world-class experts in fraud prevention, big data, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us! Job Summary: As a Sr. Product Support Engineer, you will provide product and system support to our full portfolio of clients. You may also participate in on-call schedules to help cover off-business hours support. You will need to become an expert user of our end-to-end fraud prevention platform, and provide timely and fast-paced responses to clients via our Zendesk ticket system. You will also work closely with our product team to provide customer feedback on different product usability. The Sr. Product Support Engineer will also work closely with our on-call engineering teams to troubleshoot product and system issues, and will be expected to understand our system architecture. You will need to have clear communication skills to speak with clients directly to figure out the source of their issue, and also give clear explanations once the solution or root cause is found. Specific Job Duties: Provide fast-paced product and technical support to full portfolio of DataVisor clients via our support ticketing system Ability to triage support requests in an effective manner to ensure request prioritization is maintained Help monitor and manage internal alerts and dashboards in relation to system health, including but not limited to: API throughput and latency, UI functionalities, batch data pipelines, data backup and high availability system failover setup Gain and maintain deep knowledge about DataVisor products, system architecture, and customer use cases to independently provide timely support to customers on the basic product and system support requests Work closely with various Engineering teams (Infrastructure, Platform, Frontend, QA, etc.) and Product team on the escalation of serious product bugs or system issues, and facilitate the issue investigation, root cause analysis, and progress updates internally and externally Give clear explanation both internally and externally throughout the request handling process to ensure internal teams understand the issues and customer requests, and customers understand the technical explanation from internal teams about root cause and workaround suggestions Use Zendesk and Jira systems to document the issue symptoms, steps to reproduce, basic triage findings, Engineering investigation findings, possible workarounds, and solution planning Ability to analyze and track recurring support issues and trends to provide feedback on product enhancements and training 3+ years of technical support experience in SaaS companies in Big Data Analytics industry 1+ years of experience using and/or supporting real time data processing or Decision Engine type products B.A./B.S. degree in a technical or analytical discipline Excellent problem-solving and troubleshooting skills Excellent communication skills and ability to multitask in fast-paced environment Strong time and project management ability with focus to ensure deadlines are met Ability to communicate technical information in an accessible manner to non-technical employees Coding and database experience (e.g. Python, Java, SQL) a plus A process standardization and process improvement mindset Bonus, Stock Options, 401k, Health Benefits

Lead and manage a platform engineering team to design and build a large-scale AI-based fraud detection platform with real-time and batch decisioning capabilities. | 8+ years software development, 3+ years managing teams, fluent in Java or C++, knowledge of Python, BS degree required, AI/ML experience, and familiarity with big data technologies. | DataVisor is a next-generation SaaS company that protects the world’s largest enterprises from fraud and money laundering. Our award-winning AI decision platform combines industry-leading unsupervised machine learning (UML) with advanced supervised models to stop fraudulent activity across financial transactions, mobile growth, social networks, and e-commerce. We partner with leading global brands, delivering solutions built on top of our highly scalable platform. Behind these innovations is a world-class team of experts in big data, security, and distributed infrastructure, thriving in a culture that is open, collaborative, and results-driven. Join us and help push the boundaries of what’s possible in fraud detection. Role Summary We are seeking a Software Engineering Manager to lead our Platform Engineering team. This team is at the heart of DataVisor’s detection capabilities, building the AI-based fraud and risk decision platform that powers real-time and batch unified decisioning at enterprise scale. You will manage a talented team of engineers while also contributing to the design and development of our next-generation AI agent driven infrastructure. Together, you’ll enable our customers to detect and stop complex fraud patterns in real time. What You’ll Do • Design & Build: Architect and deliver a large-scale, AI-based fraud and risk decision platform. • Innovate in Fraud Detection: Apply unsupervised, supervised, and agentic AI methods to uncover and stop fraudulent behavior. • Unify Decisioning: Drive the development of a real-time and batch unified decision platform that powers enterprise-scale fraud prevention. • Scale Infrastructure: Build and optimize distributed, real-time data systems for low-latency decisioning. • Leverage Big Data: Utilize Spark, Flink, Cassandra, and related technologies to enable high-throughput ML pipelines. • Lead & Mentor: Manage, coach, and grow a team of engineers, fostering technical excellence and professional development. • BS degree in Computer Science or related field required; MS/PhD preferred • Fluent in Java or C++ programming, with knowledge of Python; hands-on in coding, system design, and architecture • 3+ years of experience leading or managing teams • 8+ years of software development experience • Solid understanding of AI/ML concepts (unsupervised, supervised, and emerging approaches such as agentic AI); experience applying ML in production systems is a strong plus • Familiarity with relational databases, SQL, and ORM frameworks (JPA, Hibernate) is a plus • Experience with big data technologies (Cassandra, Flink, Spark, Kafka) preferred • Knowledge of the Spring Framework is a plus • Exposure to test-driven development and high-quality engineering practices • Excellent oral and written communication skills • Strong team spirit and collaboration mindset Why Join Us • Impact at Scale: Work on fraud detection systems processing billions of events daily. • Cutting-Edge Tech: Push the frontier in streaming, agentic AI, and big data infrastructure. • Career Growth: Lead a high-impact team with opportunities to shape technical direction and grow into senior leadership.

Own and optimize a 12-month event and field marketing calendar aligned to GTM and revenue goals. Collaborate with various teams to deliver high-impact programs and manage logistics for flawless attendee experiences. | 5-7 years of experience in running event and/or field marketing programs in B2B technology is required. The candidate should have a passion for events, strong project management skills, and be a collaborative leader. | DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide a significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us! Position Overview DataVisor is seeking a strategic, hands‑on Event & Field Marketing Senior Manager with a strong B2B growth mindset to elevate our global event program and field campaigns. Working closely with our Event team—as well as Sales, Product Marketing, Demand Generation, and Design—you will build an integrated roadmap that drives pipeline, deepens customer relationships, and amplifies our market voice. Key Responsibilities Own and optimize a 12‑month event and field marketing calendar aligned to GTM and revenue goals. Craft differentiated messaging for each event, grounded in competitive insights and industry trends. Collaborate daily with the Event team, Sales, PMM, Demand Gen, and Design to deliver high‑impact programs. Pilot new formats and technologies with a growth mindset; iterate quickly based on performance data. Manage budgets, vendors, logistics, and on‑site execution to ensure flawless attendee experiences. Secure and nurture customer and partner participation—joint sessions, success stories, VIP events. Track pipeline influence and ROI; report insights and optimize future events for maximum impact. Document best practices and mentor teammates to foster a self‑driven, collaborative culture. 5–7 years running event and/or field marketing programs in B2B technology, with a proven record of converting campaigns into pipeline and revenue. Passion for events and experimentation—eager to test new formats, technologies, and ideas. Exceptional storyteller able to distill complex technical value into concise, memorable messages. Growth mindset with a bias for action—comfortable piloting initiatives, measuring impact, and iterating quickly. Self‑starter who thrives in fast‑moving environments; able to prioritize, meet deadlines, and deliver results with minimal oversight. Collaborative leader skilled at building trust and alignment across Sales, Product Marketing, Demand Gen, Design, and executive stakeholders. Strong project‑management skills: budget ownership, vendor negotiation, timeline management, and on‑site execution. Data‑driven operator proficient in Salesforce, HubSpot/Marketo, and event‑tech platforms such as Cvent or Splash. Polished communicator—confident presenting to senior leadership, customers, and large external audiences. Willingness to travel for trade shows, field events, and customer engagements. Why Join Us? Opportunity to work on impactful projects that protect businesses from risk loss Collaborate with a diverse and talented team of experts in AI and machine learning Enjoy a flexible, supportive work environment with opportunities for professional growth Competitive compensation and benefits package Stock options, Medical insurance, 401K, PTO