DataVisor

Role Description As a Senior Strategic Account Manager, you will be responsible for nurturing and expanding relationships with our largest and most strategic enterprise customers. You will act as a trusted advisor, ensuring customer success, driving adoption, and identifying opportunities for significant expansion and upsell within existing accounts. This role requires a deep understanding of our customers' business needs and the ability to align DataVisor's solutions to achieve their strategic objectives, specifically managing accounts up to $10M ARR in aggregate and driving incremental upsell. - Manage and grow a portfolio of strategic enterprise accounts, focusing on long-term partnerships and customer success. - Develop and execute strategic account plans to achieve revenue growth targets within assigned accounts, including significant upsells and expansions. - Build and maintain strong relationships with key stakeholders at all levels within customer organizations, including C-level executives. - Understand customers' business challenges and objectives, and proactively identify opportunities to leverage DataVisor's solutions to drive value and ROI. - Drive product adoption and ensure customer satisfaction through regular engagement, business reviews, and strategic planning sessions. - Identify and pursue upsell and cross-sell opportunities within existing accounts, focusing on expansion into new business units and use cases. - Collaborate with internal teams, including Customer Success, Product, and Engineering, to ensure customer needs are met and issues are resolved promptly. - Accurately forecast revenue and growth opportunities within assigned accounts. - Maintain accurate and up-to-date records in Salesforce.com. - Lead contract negotiations and renewals for strategic accounts. Qualifications - 6-10 years of experience in enterprise SaaS sales or account management, with a focus on managing and growing large, strategic accounts. - Proven track record of successfully managing accounts with up to $10M+ ARR and driving significant upsell revenue. - Deep understanding of the Fraud/Regtech solutions landscape and the financial services industry. - Strong executive presence and ability to engage with C-level and VP-level executives. - Excellent communication, presentation, and relationship-building skills. - Strategic thinker with the ability to develop and execute account plans that drive growth and customer success. - Experience with contract negotiations and renewals. - Strong understanding of SaaS business models and metrics. - Ability to collaborate effectively with cross-functional teams. - Self-motivated, results-oriented, and able to thrive in a fast-paced environment. - Bachelor’s degree or equivalent experience required. Requirements - Health Insurance - Stock options - 401k - PTO Benefits - Compensation range: $140K-$160K base salary per year - OTE: $280K-$320K, Negotiable

• 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

Role Description As a Senior Technical Support Specialist, you will provide product and system support to our full portfolio of clients. This role follows a Wednesday to Sunday work schedule to support client coverage needs across different time zones. You will need to become an expert user of our end-to-end fraud prevention platform and provide timely, fast-paced responses to clients via our Zendesk ticket system. You will also work closely with our product team to share customer feedback on product usability. The Senior Technical Support Specialist will collaborate closely with engineering teams to troubleshoot product and system issues and is expected to develop a strong understanding of our system architecture. You will need strong communication skills to speak with clients directly, identify the source of their issues, and provide clear explanations once the solution or root cause is found. Key Responsibilities - 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. Qualifications - 5-7 years of technical support experience in SaaS companies in Big Data Analytics industry. - 3+ years of experience using and/or supporting real time data processing or Decision Engine type products. - B.A./B.S. degree in a technical, analytical, or engineering 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. - EU citizen residing in Ireland. Requirements - Compensation: Annual salary range of EUR 50,000 - 75,000, commensurate with experience. - Bonus, PTO.

Role Description We are seeking a Technical Project Manager (TPM) to join our Delivery team. The ideal candidate will lead client communications and drive end-to-end project delivery, while designing and implementing innovative integration solutions that meet both technical and business requirements. This role requires close collaboration with clients, sales teams, and internal stakeholders to ensure successful project outcomes. As a technical delivery leader, the TPM will own and manage all engineering work streams, coordinating across teams to keep projects on schedule and aligned with scope. The role is hands-on, requiring the ability to contribute directly to technical implementation and problem-solving as needed. Key Responsibilities - Manage and drive client communications throughout the entire project delivery, align different client stakeholders, ensure project is delivered successfully without delay. - Work closely with clients, sales teams, and other stakeholders to ensure successful project outcomes. - Understand the client's product and business logic to recommend the best solution that addresses specific client needs. Provide strong solution and consulting services. - Take the project management role to ensure the client onboarding project runs as expected and under control. - Provide technical expertise and guidance throughout the implementation and deployment phases, to integrate with the client systems. - Work closely with product and engineering teams to ensure seamless integration of new features and technologies into existing systems. - Stay updated on financial services industry trends and emerging technologies to continuously improve our solutions and offerings. - Conduct presentations and demonstrations of proposed solutions to clients and stakeholders. Qualifications - Bachelor’s degree in Computer Science, Engineering or a related field is required; a Master’s degree in a business-related discipline (e.g., MBA, MIS, Information Systems, Management, or Analytics) is preferred. - Basic understanding of software development, system architecture, and system integration concepts; exposure to SaaS platform data integration is a plus. - Strong verbal and written communication skills, with the ability to clearly explain technical concepts to both technical and non-technical audiences. - Enjoys working with clients and stakeholders, with a service-oriented mindset and interest in client-facing responsibilities. - Ability to work collaboratively in a team environment and support multiple projects under guidance and supervision. - Demonstrates strong problem-solving skills, attention to detail, and a willingness to learn in a fast-paced environment. - Familiarity with anti-fraud concepts in the financial services or internet industry is a plus. - Exposure to real-time computing, big data technologies, or machine learning through coursework, internships, or project experience is a plus. Benefits - Health Insurance, PTO, stock option - The expected salary range for this role is CAD $80,000 – $120,000 per year, depending on experience, qualifications, and location. Final compensation will be determined based on job-related skills and business needs.

Title: Senior Risk Consultant - US East Location: Mountain View CA US Full time Remote DataVisor is seeking a Senior Risk Consultant to join our Professional Services team. In this role, you will lead a variety of technical and strategic client engagements, including fraud pattern analysis, risk detection strategy development, platform configuration, and machine learning model optimization. These projects may support customers in both pre-sales and post-sales phases. You will work cross-functionally with Customer Success, Solutions Consulting, ML Modeling, Delivery, Product, and Engineering teams to help customers improve fraud prevention outcomes, drive operational efficiency, and deliver measurable business impact. Key Responsibilities Business Problem Discovery - Partner with clients to understand business logic, decision flows, pain points, fraud patterns, data availability, data quality, and desired business outcomes - Translate business challenges into actionable risk and solution requirements Data Gathering and Integration - Lead technical discussions with clients’ risk, fraud, AML, and data teams to ensure complete and high-quality data collection - Own data transfer coordination and data quality validation Data Analysis and Risk Strategy Development - Conduct data analysis and fraud pattern analysis using strong domain expertise and business judgment - Design, recommend, test, and iterate on detection strategies to improve risk outcomes Solution Configuration - Configure DataVisor platform components such as Rules Engine, Decision Flows, Case Management, Knowledge Graph, and BI Dashboards - Deliver tailored solutions that generate strong business value for clients ML Model Performance Analysis - Partner with the ML Modeling team to develop, tune, and evaluate supervised and unsupervised fraud detection models - Analyze model performance metrics and provide guidance on threshold setting and decisioning strategies Project Management and Documentation - Manage solution delivery projects using project management tools such as Monday.com - Own the creation, maintenance, and reporting of key internal and customer-facing project deliverables Presentation and Demonstration - Present project findings, recommendations, and solution outcomes to business and technical stakeholders - Demonstrate configured solutions and articulate business impact clearly and effectively Requirements - Experience - 4+ years of experience in fraud and/or AML strategy, analytics, or modeling - 2+ years of experience leading client-facing data analytics or consulting projects - Technical Skills - Strong domain knowledge of fraud and AML use cases within the financial services industry - Advanced SQL skills, including complex joins and layered business logic - Familiarity with Python, R, and Java is a plus - Experience using LLM tools such as ChatGPT and Claude to accelerate research, problem-solving, and documentation - Experience configuring technical products and debugging feature, rule, and result behavior - Soft Skills - Excellent communication, presentation, and interpersonal skills - Strong analytical, problem-solving, and results-oriented mindset - Strong documentation discipline and interest in automation using AI tools and agents - Ability to collaborate effectively in a fast-paced team environment and manage multiple projects simultaneously - Education - Bachelor’s degree in a technical or analytical field such as Data Science, Statistics, Computer Science, or a related discipline Benefits Stock options, Medical insurance, 401K, PTO Why Join DataVisor - Work on high-impact projects that help protect businesses and consumers from fraud and financial crime - Collaborate with a talented and diverse team of experts in AI, machine learning, and data science - Grow your career in a flexible and supportive work environment - Receive a competitive compensation and benefits package - Work remotely (eastern time zone preferred)

Role Description We are seeking a highly skilled technical Project Manager to join the client service team. This role involves: - Managing all client communications and driving overall delivery schedule. - Designing and implementing innovative integration solutions that meet our client's technical and business requirements. - Working closely with clients, sales teams, and other stakeholders to ensure successful project outcomes. - Driving and managing all engineering threads to deliver the project. - Conducting technical hands-on work as needed. Key Responsibilities - Manage and drive client communications throughout the entire delivery, aligning different client stakeholders to ensure successful project delivery without delay. - Understand the client's product and business logic to recommend the best solution that addresses specific client needs. - Provide strong solution and consulting services. - Ensure the client onboarding project runs as expected and under control. - Provide technical expertise and guidance throughout the implementation and deployment phases to integrate with client systems. - Work closely with product and engineering teams to ensure seamless integration of new features and technologies into existing systems. - Stay updated on financial services industry trends and emerging technologies to continuously improve our solutions and offerings. - Conduct presentations and demonstrations of proposed solutions to clients and stakeholders. Qualifications - Bachelor's degree in Computer Science, Engineering, or a related field. - Proven experience as a technical Project Manager or in a similar technical role. - Strong understanding of software development, system architecture, and integration principles. - Strong solutioning skills on SaaS platform data integration. - Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical audiences. - Strong client-facing communication skills and consultant/client management capabilities. - Ability to work collaboratively in a team environment and manage multiple projects simultaneously. - Creative problem-solving skills and a results-oriented mindset. - Knowledge of anti-fraud in the Financial or internet industry will be a plus. - Experience in real-time computing, big data, or machine learning will be a plus. Requirements - Health Insurance - PTO Benefits - The expected base salary range for this role is CAD $120,000 – $170,000 per year, depending on experience, skills, and location. - This position may also be eligible for bonus, equity, and benefits.

Role Description We are seeking a highly skilled technical Project Manager to join the client service team. This role involves: - Managing all client communications and driving overall delivery schedule. - Designing and implementing innovative integration solutions that meet our client's technical and business requirements. - Working closely with clients, sales teams, and other stakeholders to ensure successful project outcomes. - Driving and managing all engineering threads to deliver the project. - Conducting technical hands-on work as needed. Key Responsibilities - Manage and drive client communications throughout the entire delivery. - Align different client stakeholders to ensure project is delivered successfully without delay. - Understand the client's product and business logic to recommend the best solution that addresses specific client needs. - Provide strong solution and consulting services. - Ensure the client onboarding project runs as expected and under control. - Provide technical expertise and guidance throughout the implementation and deployment phases. - Work closely with product and engineering teams for seamless integration of new features and technologies. - Stay updated on financial services industry trends and emerging technologies. - Conduct presentations and demonstrations of proposed solutions to clients and stakeholders. Qualifications - Bachelor's degree in Computer Science, Engineering, or a related field. - Proven experience as a technical Project Manager or in a similar technical role. - Strong understanding of software development, system architecture, and integration principles. - Strong solutioning skills on SaaS platform data integration. - Excellent communication and interpersonal skills. - Strong client-facing communication skills and consultant/client management capabilities. - Ability to work collaboratively in a team environment and manage multiple projects simultaneously. - Creative problem-solving skills and a results-oriented mindset. - Knowledge of anti-fraud in the Financial or internet industry will be a plus. - Experience in real-time computing, big data, or machine learning will be a plus. Benefits - Health Insurance - PTO Company Description DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. 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.

• Provide product support, escalation, and resolution of technical issues • Architect machine learning and rule-based solutions for customers’ fraud problems • Lead solution deployment deep dive discussions in late stage pre-sales calls • Understand client use cases and define plans to achieve success criteria • Manage integration and product implementation process for customers • Conduct and coordinate business reviews and presentations with clients • Drive product roadmap by communicating client feedback to internal teams • Attend meetups, events, and conferences as a technical ambassador

Role Description As a Senior Technical Account Manager (TAM), you will manage a portfolio of client relationships and establish yourself as a trusted technical advisor and solution partner for the key leaders within the customer’s fraud and risk teams. You will partner with our Delivery Team to oversee the customer’s data integration and onboarding process. Your goal is to ensure that the customer adopts best practices in the implementation of our platform to ensure they extract the maximum value from their investment. You will engage in broad ranging topics from assessing/debugging platform performance or product functional issues, provide technical guidance and best practices, or advise on customer’s use of custom or DataVisor built machine learning models and/or automation rules to detect suspicious activities. You will work cross-functionally with Customer Success, Engineering, and Product teams to achieve your goals. Key Responsibilities - Provide product support, escalation, and resolution of technical issues - Architect machine learning and rule-based solutions for customers’ fraud problems - Lead solution deployment deep dive discussions in late stage pre-sales calls - Understand client use cases and define plans to achieve success criteria - Manage integration and product implementation process for customers - Conduct and coordinate business reviews and presentations with clients - Drive product roadmap by communicating client feedback to internal teams - Attend meetups, events, and conferences as a technical ambassador Qualifications - An EU citizen residing in Ireland - 10+ years of experience in banking, payment, social, or e-commerce industries, as customer facing technical roles e.g. technical account manager or solution consultant - B.A./B.S. degree in a technical or analytical discipline - Excellent communication and presentation skills - Strong time and project management ability with focus to ensure deadlines are met - Experience in fraud detection and risk management is a big plus - Coding and database experience (e.g. Python, Java, SQL) a plus Compensation - Annual salary range of EUR 60,000 - 90,000, commensurate with experience - Bonus - PTO - Stock Option - Health Benefits

• Partner with clients to understand business logic, decision flows, pain points, fraud patterns, data availability, data quality, and desired business outcomes • Translate business challenges into actionable risk and solution requirements • Lead technical discussions with clients’ risk, fraud, AML, and data teams to ensure complete and high-quality data collection • Own data transfer coordination and data quality validation • Conduct data analysis and fraud pattern analysis using strong domain expertise and business judgment • Design, recommend, test, and iterate on detection strategies to improve risk outcomes • Configure DataVisor platform components such as Rules Engine, Decision Flows, Case Management, Knowledge Graph, and BI Dashboards • Deliver tailored solutions that generate strong business value for clients • Partner with the ML Modeling team to develop, tune, and evaluate supervised and unsupervised fraud detection models • Analyze model performance metrics and provide guidance on threshold setting and decisioning strategies • Manage solution delivery projects using project management tools such as Monday.com • Own the creation, maintenance, and reporting of key internal and customer-facing project deliverables • Present project findings, recommendations, and solution outcomes to business and technical stakeholders • Demonstrate configured solutions and articulate business impact clearly and effectively