DataVisor

Support Engineer

• 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

Senior Technical Support Specialist

Technical Project Manager

• Manage and drive client communications throughout the entire 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.

Senior Technical Project Manager – Client Service Delivery

Senior Product Support Engineer

Financial Planning and Analysis

• Strategic Planning & Metric Architecture
• - KPI Definition: Design and maintain a comprehensive set of SaaS metrics (e.g., ARR, NRR, CAC, LTV, Magic Number) to track performance across Revenue, R&D, and Support.
• - Financial Modeling: Build and refine sophisticated financial models to analyze revenue streams, customer segmentation, pricing strategies, and sales team productivity.
• - FP&A Leadership: Partner with the VP of Finance to drive the annual budgeting and quarterly forecasting process, incorporating real-time insights from operational data.
• GTM Operations & Deal Desk Partnership
• - Deal Strategy: Serve as the financial partner to the Deal Desk and Sales Leadership; analyze pricing, deal profitability, non-standard contract terms, and revenue recognition implications, provide suggestions and input to define and shape the contract and order form structure.
• - Compensation Analysis: Analyze the ROI of sales compensation plans and GTM organizational structure to ensure alignment with company growth targets.
• - Ad-Hoc Strategy: Conduct deep-dive analyses on specific business questions (e.g., new market entry, product margin analysis) to support executive decision-making.
• Systems, Data Governance & Process Improvement
• - CRM to Finance Integration: Spearhead the integration between GTM systems (Salesforce) and financial systems (ERP/Planning tools).
• - Data Governance: Define the "source of truth" for sales data. Implement quality controls to ensure the accurate flow of booking and revenue data into financial reporting.
• - Process Engineering: Develop standardized operating procedures (SOPs) for financial analysis to move the department from ad-hoc reporting to scalable, automated frameworks.

Senior Strategic Financial Analyst

• KPI Definition: Design and maintain a comprehensive set of SaaS metrics (e.g., ARR, NRR, CAC, LTV, Magic Number) to track performance across Revenue, R&D, and Support.
• Financial Modeling: Build and refine sophisticated financial models to analyze revenue streams, customer segmentation, pricing strategies, and sales team productivity.
• FP&A Leadership: Partner with the VP of Finance to drive the annual budgeting and quarterly forecasting process, incorporating real-time insights from operational data.
• Deal Strategy: Serve as the financial partner to the Deal Desk and Sales Leadership; analyze pricing, deal profitability, non-standard contract terms, and revenue recognition implications, provide suggestions and input to define and shape the contract and order form structure.
• Compensation Analysis: Analyze the ROI of sales compensation plans and GTM organizational structure to ensure alignment with company growth targets.
• Ad-Hoc Strategy: Conduct deep-dive analyses on specific business questions (e.g., new market entry, product margin analysis) to support executive decision-making.
• CRM to Finance Integration: Spearhead the integration between GTM systems (Salesforce) and financial systems (ERP/Planning tools).
• Data Governance: Define the "source of truth" for sales data. Implement quality controls to ensure the accurate flow of booking and revenue data into financial reporting.
• Process Engineering: Develop standardized operating procedures (SOPs) for financial analysis to move the department from ad-hoc reporting to scalable, automated frameworks.

Data Scientist

• Lead the design, testing, deployment, and lifecycle management of fraud detection strategies across account origination, money movement, and card payment channels (CP/CNP).
• Conduct forensic analysis to identify emerging and “day-zero” fraud patterns, translating insights into actionable detection logic.
• Collaborate with the internal Data Science teams to refine ML features and ensure detection models capture the most relevant signals.
• Act as a key stakeholder for Engineering and Product teams, providing high-fidelity feedback on AI-driven tools and automation workflows.
• Own governance standards for fraud rules and ensure compliance with regulatory frameworks (AML, KYC, BSA).
• Serve as a subject matter expert on external data sources and enrichment signals to enhance detection capabilities.
• Mentor junior team members through project guidance and knowledge sharing.
• Partner with Product, Engineering, and Commercial teams to ensure fraud strategy aligns with evolving client and market needs.

Senior Data Scientist, Fraud Analytics – Strategy

Risk

• 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

Senior Technical Support Specialist

Senior Technical Project Manager – Client Service Delivery

Senior Product Support Engineer

Senior Strategic Financial Analyst

Senior Strategic Financial Analyst

Senior Data Scientist, Fraud Analytics – Strategy

Senior Risk Consultant