DataVisor jobs - 20 jobs

DataVisor is a 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 solution scales infinitely and enables 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 guaranteed performance lift from day one. The flexible architecture of DataVisor's platform allows enterprises to power sophisticated and complex use cases across different businesses while dramatically lowering the total cost of ownership. DataVisor is recognized as an industry leader and has been adopted by Fortune 500 companies globally across many industries. 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! We are seeking an experienced and strategic HR Manager to join our team. In this role, you will oversee all aspects of human resources practices and processes. The HR Manager is a critical member of our leadership team and serves as the go-to person for all employee-related matters. This position involves managing key functions such as job design, employee relations, performance management, training and development, and talent management. Your leadership will be essential to ensuring a positive, productive, and legally compliant workplace culture that aligns with our company's mission and values Requirements Develop and implement HR strategies and initiatives aligned with the overall business strategy Create, implement, and monitor HR systems, policies, and procedures across the organization Act as a bridge between management and employees by addressing issues, concerns, and grievances Work with admin to create and nurture a positive working environment in office and for remote working Drive employee engagement, retention, and talent development initiatives including supporting the recruitment team Lead the performance management process to promote accountability and growth Identify training needs and oversee the design and delivery of employee development programs; set up rigorous metrics and programs to identify and manage out low performers Maintain competitive compensation and benefits programs and annual compensation benchmaking Track and report on HR metrics and trends to support decision-making Ensure full compliance with labor laws and internal policies Organize team morale events and promote strong team bonding At least five to seven years working experience in HR Familiar with employee work visa programs and support immigration requirements and legal compliances across different geographic regions Benefits Compensation: Annual salary range of USD $120,000 - $160,000, commensurate with experience. Health Insurance, 401K, PTO

A leading security technology firm in California is seeking a skilled Data Science Engineer. You will harness the power of unsupervised machine learning to detect fraudulent activities across various sectors. Ideal candidates have experience with Java/C++, data structures, and machine learning. The company offers competitive pay, flexible schedules, equity participation, health benefits, a collaborative environment, and unique perks such as catered lunches and game nights. #J-18808-Ljbffr

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 solution scales infinitely and enables 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 guaranteed performance lift from day one. The flexible architecture of DataVisor's platform allows enterprises to power sophisticated and complex use cases across different businesses while dramatically lowering the total cost of ownership. DataVisor is recognized as an industry leader and has been adopted by Fortune 500 companies globally across many industries. 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 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 Requirements 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 Benefits Compensation: Annual salary range of USD $130,000 - $150,000, commensurate with experience. Bonus, PTO, Stock Option, Health Benefits

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 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: As a Senior Customer Success Manager (CSM), you will serve as a strategic partner to key enterprise clients, helping them drive ROI through advanced fraud detection, AML compliance, and operational optimization. You'll lead customer engagements across a portfolio of Fortune 500 companies in FinTech, Banking, and E-commerce, providing expert guidance on how to maximize value from our industry-leading SaaS platform. Your responsibilities include monitoring detection system performance, advising on best practices for using machine learning models, rules engine, and device intelligence signals, and identifying opportunities to reduce fraud and streamline operations. You'll work cross-functionally with Product and Engineering teams to advocate for customer needs and support ongoing innovation. This role combines strategic consulting, data-driven decisioning, and hands-on product expertise to deliver measurable impact for our clients. Job Location: This is a remote-based position and can be located in the U.S. or Canada, preferably in the Pacific Time Zone. Key Responsibilities: Act as the primary point of contact and trusted advisor for assigned enterprise customers, ensuring successful onboarding, adoption, and long-term value realization Understand client business models, fraud/AML risk exposure, and operational needs to define success criteria and shape tailored solution strategies Partner closely with clients to align our fraud detection and AML platform capabilities to their goals, driving measurable improvements in fraud prevention, loss reduction, and operational efficiency Coordinate with internal teams (including Modeling, Product, and Engineering) to ensure timely delivery of enhancements, issue resolution, and optimization of detection outcomes Translate customer insights into actionable feedback for internal roadmap planning and product improvements Monitor detection performance metrics, support quarterly business reviews, and proactively identify opportunities for expansion or deeper integration Educate clients on best practices in fraud/AML strategies and platform usage to maximize return on investment Represent the voice of the customer internally and the voice of our platform externally, including participation in industry events, customer workshops, and solution showcases Requirements 5+ years of experience in fraud strategy, risk analytics, customer success, or fraud operations within fintech, banking, payments, or e-commerce industries Deep understanding of fraud/AML use cases such as transaction fraud, account takeover, promotion abuse, synthetic identity fraud, or mule detection Experience working with machine learning-based detection systems and/or rule engines for fraud prevention Strong analytical skills; proficient with SQL, and experience in Python or R for data exploration and investigation Excellent verbal and written communication skills; able to explain technical concepts to both technical and non-technical stakeholders Confident in leading customer-facing discussions and executive presentations Highly organized with strong project ownership and time management skills; able to manage multiple enterprise accounts simultaneously Bachelor's degree in a technical, analytical, or business-related field; advanced degree a plus Benefits Compensation: Annual salary range of USD $100,000 - $150,000, commensurate with experience. Bonus, Stock options, Retirement Plan, Health Insurance

Job Description 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 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! We are looking for a data-driven and operationally minded Senior Strategic Financial Analyst to serve as a key architect of our financial planning and reporting infrastructure. In this high-visibility role, you will go beyond traditional reporting to act as a strategic partner to our GTM, R&D, and Operations leaders. You will not only track the numbers but also define how we track them-bridging the gap between our CRM (Salesforce) and Finance systems to ensure data integrity. If you are a proactive problem-solver with 5+ years of experience who loves building models, optimizing deal structures, and uncovering insights that drive revenue efficiency, we want to hear from you. Key Responsibilities: 1. 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. 2. 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. 3. 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. Requirements Experience: 5+ years of progressive experience in FP&A, Strategic Finance, or Sales Operations and equivalent strong analytics experience for business strategies. Industry Background: Prior experience in Enterprise SaaS company and prior private equity or investment banking experience preferred. Technical Stack: Advanced proficiency in Excel (complex modeling) is required. Strong familiarity with Salesforce (reporting, dashboards, object relationships) is essential. Experience with BI tools (e.g. Tableau, Power BI, Looker, Python) and Planning tools (e.g. Anaplan, Adaptive Insights) is a major plus. Education: Bachelor's degree in Finance, Math, Accounting, Economics, or a related quantitative field. MBA or master degree is a plus. Soft Skills: Proven ability to translate complex financial data into clear, actionable narratives for non-financial stakeholders (Sales, Engineering, Product). Strong communication skills and excellent writing skills. Strong team collaborator, self driven and motivated. Benefits Why You'll Love This Team: Impact: You won't just report the news; you'll help make it by influencing deal structures and operational strategy. Visibility: Direct reporting line to the VP of Finance and regular exposure to GTM leadership. Builder Mindset: Opportunity to design processes from scratch rather than just inheriting them. Compensation: Base Salary Rang: USD 100K to 130K per year Equity Benefits

Job Description 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 solution scales infinitely and enables 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 guaranteed 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! Summary: As a Senior Sales Engineer, you will be the customer facing Subject Matter Expert for DataVisor's Fraud and AML Platform solution. You will work throughout the sales process, from leading discovery on both business and technical discussions, matching the DataVisor solution to the client's needs, and conducting demonstrations of the proposed solution and integration points back to the client. This role requires a deep understanding of our customers' business needs and the technical feature creation inside the DataVisor platform, and the ability to align DataVisor's solutions to achieve their strategic objectives. Responsibilities: Business Discovery: Work closely with the Account Executive (AE) to discover and understand the customer requirements regarding fraud and compliance strategy from both a current and future state. Technical Discovery: Work closely with the Account Executive (AE) and Solution Architect (SA) to discover and understand the customer requirements regarding integrations, e.g. data sources and 3rd party systems to integrate with, real time and/or batch requirements integration needs, turnaround times and latency requirements, high availability requirements, and security requirements. Customer Presentations and Demonstrations: Conduct presentations and demonstrations to explain proposed solutions and configurations to clients and stakeholders based on the customer's business and technical needs. Technical Integration Meetings: Drive external and internal meetings throughout the Integration Scoping and Planning phase. Align with various client stakeholders and DataVisor teams to ensure the proposed plan meets the customer requirements, both business and technical, and are compatible with DataVisor system architecture. Knowledge Handoff and Technical Escalation: Use standard documentations to conduct knowledge transfer and internal Q&A sessions with DataVisor post-sales teams e.g. Delivery, Customer Success, Engineering, and Data Science. During the onboarding phase, serve as the technical escalation point for customers in case issues and misalignments happen during the delivery phase. Domain and Product Expertise: Stay updated on industry trends and emerging technologies, particularly in financial services, fraud prevention, AML practices, and machine learning, to provide cutting-edge solutions to clients. Stay updated on product knowledge, product configuration best practices, and workarounds for known issues. Presentations and & Demonstrations: Conduct presentations and demonstrations to explain proposed solutions and configurations to clients and stakeholders. Request for Information / Request for Proposal contributor: Participate in strategy and completion of RFI/RFP responses. Requirements 7+ years of experience in customer-facing Sales Engineer or Solution Consulting roles with a focus in Fraud and Compliance (Anti-Money Laundering). 7+ years of selling into one of more of the following markets: Banks Credit Unions Fintechs Payment Processors e-Commerce Excellent communication and interpersonal skills up and down an organization; equally comfortable talking with a C-Level or a front line user, as well as equally comfortable talking with a CFO or CTO. Ability to work in an autonomous, self starter environment with a focus on results Ability to manage multiple projects simultaneously. 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. Benefits Base comp range: 140-180K per year, plus commission, commensurate with experience and quota. PTO, 401K and Health Insurance.

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 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! Role Summary We are seeking highly motivated, newly graduated or soon-to-graduate MS or Ph.D. students in Computer Science, Machine Learning, Data Science, or related fields to join us as AI / ML Engineering Interns. This internship is ideal for candidates who are eager to learn how large-scale AI systems are built and deployed in production. You will work closely with experienced engineers and data scientists to help build the Intelligence Layer and Data Consortium that power DataVisor's real-time fraud detection platform. This internship focuses on distributed systems, data pipelines, machine learning infrastructure, and applied AI, including exposure to agentic flows and large language models (LLMs). What You'll Do Data Engineering & Pipelines Assist in building and maintaining high-throughput data pipelines using technologies such as Spark, Kafka, or Flink Help process and aggregate real-time signals (e.g., device fingerprints, behavioral data) into shared intelligence systems Distributed Systems & Scalability Learn to design and optimize backend systems that support large-scale, real-time decisioning Contribute to improving system performance, reliability, and latency under high transaction volumes AI Applications & Agentic Flows Support the development of AI applications and agentic workflows using state-of-the-art LLMs (e.g., OpenAI, Anthropic, Google) Experiment with natural language interfaces, intelligent rule suggestions, and automated strategy generation Machine Learning Pipelines Help deploy and monitor pipelines for unsupervised and supervised ML models Assist with integrating models into real-time scoring APIs and decision engines Privacy & Security Learn best practices for privacy-first system design, including tokenization and hashing to protect sensitive data Cross-Functional Collaboration Work alongside Data Science, Product, and Engineering teams to test ideas, validate models, and ship production features Requirements Recently graduated or currently completing an MS or Ph.D. in Computer Science, Machine Learning, AI, Data Science, or a related field Passionate about learning how real-world AI systems are built at scale Comfortable working with complex technical problems and eager to grow through mentorship Strong programming skills in Python Familiarity with at least one of the following: distributed systems, machine learning, data engineering, or backend development Academic or project experience with big data frameworks (Spark, Kafka, Flink) is a plus Understanding of core ML concepts (supervised / unsupervised learning) Preferred (Nice-to-Have) Coursework or project experience with: LLMs, RAG architectures, LangChain, or vector databases Cloud platforms (AWS) and containers (Docker) Stream processing or real-time systems Interest in fraud, risk, or security domains (not required) Benefits Hands-on experience working on production-scale AI systems Mentorship from senior engineers and data scientists Exposure to cutting-edge agentic AI and LLM applications Opportunity for full-time conversion based on performance and business needs Comp Range, $25 - $70/hour

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. Requirements 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 Benefits Compensation: Annual salary range of USD $180,000 - $350,000, commensurate with experience. 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.

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 solution scales infinitely and enables 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 guaranteed 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! Summary: As Director of Strategic Accounts, 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. Responsibilities: 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. Requirements 7+ 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. US pacific region, SF bay area preferred. Benefits Health Insurance, Stock options, 401k, PTO Compensation range: US$125,000-$175,000 base salary per year, with an expected total annual package of US$250,000-$350,000.

Job Description 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 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! Role Summary We are seeking a hands-on Senior Data Scientist to serve as the "Architect of Efficacy" for our AI-Powered Fraud Solutions suite. In this role, you will move beyond simple analysis to build the mathematical core of our product. You will design pre-built detection strategies that provide immediate protection for new clients, solving the industry-wide "Cold Start" problem. Working at the intersection of research and product, you will collaborate closely with our Product, Strategy, Data Science, Delivery, and Engineering teams to translate complex fraud patterns into scalable, automated defenses. Responsibilities Develop Pre-Built Detection Models: Design, back-test, and optimize statistical baselines and machine learning strategies for our core solution modules, including Real-Time Payments (RTP), ACH, Wire, Check, and Application/Onboarding. Mine the Global Consortium: Analyze large-scale, cross-industry data within our global intelligence network to identify high-risk device fingerprints and patterns of organized fraud, transforming these insights into features that can be deployed across all clients. Architect "Cold Start" Logic: Create generalized scoring models that deliver immediate value to new clients, ensuring they are protected against known threats even before their historical data is fully integrated. Validate AI Agent Logic: Serve as the expert "Human-in-the-Loop" for our AI-driven strategy engine, rigorously testing and validating automated fraud detection logic to ensure safety, transparency, and low false positive rates. Cross-Functional R&D: Collaborate with Product, Strategy, Data Science, Delivery, and Engineering teams to explore and implement state-of-the-art machine learning and large language model (LLM) capabilities, providing the statistical rigor needed to turn experimental concepts into production-grade features. Requirements Qualifications Experience: 1-5 years of hands-on experience in Data Science or Advanced Analytics. Technical Core: Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL. Statistical Rigor: Solid foundation in statistical modeling, feature selection, and performance evaluation (Precision/Recall, AUC, KS). Preferred Qualifications Experience with graph theory or link analysis for detecting network-based fraud. Familiarity with unsupervised learning techniques or anomaly detection. Previous experience working in a high-growth SaaS or Fintech environment. Domain Knowledge: Familiarity with Fraud Detection, Credit Risk, or Trust & Safety, including knowledge of payment rails (FedNow, ACH, Wire) and typologies (Synthetic ID, ATO, Kiting). Benefits Total Compensation: Includes Base + Performance Bonus + Equity Options. Benefits: Comprehensive medical, dental, and vision coverage. 401(k) retirement plan. Flexible Time Off (FTO) and paid holidays. Opportunities for R&D exploration and professional development. Regular team-building events and a collaborative, innovative culture.

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables 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 guaranteed 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! Summary: We are seeking a highly skilled and motivated Sales executive to join our dynamic team. As a Sales Executive, you will be responsible for delivering new client relationships as well as building and maintaining relationships with key clients, understanding their needs and objectives, and developing strategic plans to achieve their business goals. You will serve as the primary point of contact for our clients, and will be responsible for driving customer satisfaction, retention, and growth. Responsibilities: Identify and pursue new sales opportunities through cold calling, networking, and social media. Develop and maintain relationships with existing clients, understanding their business objectives and aligning them with our company's offerings. Identify new business opportunities within existing accounts and develop strategic plans to expand business with key clients. Conduct regular account reviews to assess client satisfaction, gather feedback, and identify areas for improvement. Collaborate with cross-functional teams, including sales, marketing, and product development, to develop and execute account strategies. Provide exceptional customer service, address client inquiries and concerns in a timely manner, and ensure prompt resolution of issues. Stay updated on industry trends, competitor activities, and market conditions to proactively identify business opportunities and risks. Prepare and deliver compelling sales presentations to prospective clients and existing clients to showcase our products and services. Develop and maintain accurate account records, including account plans, sales forecasts, and activity reports. Requirements 10+ years of experience in enterprise SaaS sales and account management, with a focus on growing a book of business through new client acquisition and managing and growing large existing client accounts Past sales experience to financial services industry is a plus Proven track record of successfully delivering new accounts and managing existing 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 in business or related field US Pacific Timezone, SF Bay Area Preferred Benefits Base salary plus commission, commensurate with experience and quota. PTO, 401K and Health Insurance. Compensation range: US$125,000-$175,000 base salary per year, with an expected total annual package of US$250,000-$350,000.

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 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! We are looking for a data-driven and operationally minded Senior Strategic Financial Analyst to serve as a key architect of our financial planning and reporting infrastructure. In this high-visibility role, you will go beyond traditional reporting to act as a strategic partner to our GTM, R&D, and Operations leaders. You will not only track the numbers but also define how we track them-bridging the gap between our CRM (Salesforce) and Finance systems to ensure data integrity. If you are a proactive problem-solver with 5+ years of experience who loves building models, optimizing deal structures, and uncovering insights that drive revenue efficiency, we want to hear from you. Key Responsibilities: 1. 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. 2. 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. 3. 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. * Experience: 5+ years of progressive experience in FP&A, Strategic Finance, or Sales Operations and equivalent strong analytics experience for business strategies. * Industry Background: Prior experience in Enterprise SaaS company and prior private equity or investment banking experience preferred. * Technical Stack: * Advanced proficiency in Excel (complex modeling) is required. * Strong familiarity with Salesforce (reporting, dashboards, object relationships) is essential. * Experience with BI tools (e.g. Tableau, Power BI, Looker, Python) and Planning tools (e.g. Anaplan, Adaptive Insights) is a major plus. * Education: Bachelor's degree in Finance, Math, Accounting, Economics, or a related quantitative field. MBA or master degree is a plus. * Soft Skills: Proven ability to translate complex financial data into clear, actionable narratives for non-financial stakeholders (Sales, Engineering, Product). Strong communication skills and excellent writing skills. Strong team collaborator, self driven and motivated. Why You'll Love This Team: * Impact: You won't just report the news; you'll help make it by influencing deal structures and operational strategy. * Visibility: Direct reporting line to the VP of Finance and regular exposure to GTM leadership. * Builder Mindset: Opportunity to design processes from scratch rather than just inheriting them. Compensation: * Base Salary Rang: USD 100K to 130K per year * Equity * Benefits

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 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! Role Summary We are hiring an AI/ML Engineer to serve as a technical architect for our Intelligence Layer and Data Consortium. This is a specialized engineering role-distinct from general web development-focused on building the high-scale "muscle" that powers our fraud intelligence. You will design and maintain distributed pipelines that ingest real-time signals from millions of users, and engineer backend systems that enable our Agentic Flow to "auto-tune" strategies. You will also play a key role in building agentic flows and AI applications using state-of-the-art, out-of-the-box large language models (LLMs) available on the market, in addition to helping build and deploy traditional machine learning models. Primary Responsibilities Consortium Data Engineering: Architect and maintain high-throughput data pipelines (using Spark, Kafka, or Flink) to ingest, process, and aggregate real-time signals-such as device fingerprints and behavioral biometrics-into our central intelligence graph. High-Scale System Design: Optimize distributed systems to support our global data network, ensuring the platform can handle 10,000+ Transactions Per Second (TPS) with P99 latency under 150ms. Agentic Flow & AI Application Development: Build agentic flows and AI applications by leveraging state-of-the-art, out-of-the-box LLMs (e.g., OpenAI, Anthropic, Google) to enable natural language interaction, intelligent rule merging, and automated fraud strategy recommendations. Productionize ML Pipelines: Deploy and maintain pipelines for both Unsupervised (UML) and Supervised (SML) models, integrating them with our API to enable real-time scoring and decisioning. Privacy-First Architecture: Implement robust security measures, including tokenization and hashing, to ensure PII privacy and compliance across our shared intelligence network. Cross-Functional Collaboration: Work closely with Data Science, Product, Strategy, Delivery, and Engineering teams to develop, validate, and optimize machine learning models and AI-driven features. Requirements Qualifications Experience: 1-5 years of experience in Machine Learning Engineering, Data Engineering, or Backend Engineering. System Architecture: Proven ability to design distributed, cloud-native systems for high-throughput applications. Experience with AWS and containerization (Docker/Kubernetes) is critical. Big Data Tech: Strong hands-on experience with distributed data frameworks such as Spark, Kafka, or Flink. Coding Proficiency: Production-grade skills in Python and at least one compiled language (e.g., Java or C++). Preferred Qualifications Experience building or integrating LLM applications (LangChain, Vector DBs, RAG architectures). Background in real-time decision engines or stateful stream processing. Knowledge of fraud or risk domains is a plus, but not required. Benefits Base Salary Range: 130K - 200K Total Compensation: Includes Base + Performance Bonus + Equity Options. Benefits: Comprehensive medical, dental, and vision coverage. 401(k) retirement plan. Flexible Time Off (FTO) and paid holidays. Opportunities for R&D exploration and professional development. Regular team-building events and a collaborative, innovative culture.

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 solution scales infinitely and enables 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 guaranteed 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! Summary: As a Senior Sales Engineer, you will be the customer facing Subject Matter Expert for DataVisor's Fraud and AML Platform solution. You will work throughout the sales process, from leading discovery on both business and technical discussions, matching the DataVisor solution to the client's needs, and conducting demonstrations of the proposed solution and integration points back to the client. This role requires a deep understanding of our customers' business needs and the technical feature creation inside the DataVisor platform, and the ability to align DataVisor's solutions to achieve their strategic objectives. Responsibilities: * Business Discovery: Work closely with the Account Executive (AE) to discover and understand the customer requirements regarding fraud and compliance strategy from both a current and future state. * Technical Discovery: Work closely with the Account Executive (AE) and Solution Architect (SA) to discover and understand the customer requirements regarding integrations, e.g. data sources and 3rd party systems to integrate with, real time and/or batch requirements integration needs, turnaround times and latency requirements, high availability requirements, and security requirements. * Customer Presentations and Demonstrations: Conduct presentations and demonstrations to explain proposed solutions and configurations to clients and stakeholders based on the customer's business and technical needs. * Technical Integration Meetings: Drive external and internal meetings throughout the Integration Scoping and Planning phase. Align with various client stakeholders and DataVisor teams to ensure the proposed plan meets the customer requirements, both business and technical, and are compatible with DataVisor system architecture. * Knowledge Handoff and Technical Escalation: Use standard documentations to conduct knowledge transfer and internal Q&A sessions with DataVisor post-sales teams e.g. Delivery, Customer Success, Engineering, and Data Science. During the onboarding phase, serve as the technical escalation point for customers in case issues and misalignments happen during the delivery phase. * Domain and Product Expertise: Stay updated on industry trends and emerging technologies, particularly in financial services, fraud prevention, AML practices, and machine learning, to provide cutting-edge solutions to clients. Stay updated on product knowledge, product configuration best practices, and workarounds for known issues. * Presentations and & Demonstrations: Conduct presentations and demonstrations to explain proposed solutions and configurations to clients and stakeholders. * Request for Information / Request for Proposal contributor: Participate in strategy and completion of RFI/RFP responses. * 7+ years of experience in customer-facing Sales Engineer or Solution Consulting roles with a focus in Fraud and Compliance (Anti-Money Laundering). * 7+ years of selling into one of more of the following markets: * Banks * Credit Unions * Fintechs * Payment Processors * e-Commerce * Excellent communication and interpersonal skills up and down an organization; equally comfortable talking with a C-Level or a front line user, as well as equally comfortable talking with a CFO or CTO. * Ability to work in an autonomous, self starter environment with a focus on results * Ability to manage multiple projects simultaneously. * 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. * Base comp range: 140-180K per year, plus commission, commensurate with experience and quota. * PTO, 401K and Health Insurance.

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 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! Role Summary We are seeking highly motivated, newly graduated or soon-to-graduate MS or Ph.D. students in Computer Science, Machine Learning, Data Science, or related fields to join us as AI / ML Engineering Interns. This internship is ideal for candidates who are eager to learn how large-scale AI systems are built and deployed in production. You will work closely with experienced engineers and data scientists to help build the Intelligence Layer and Data Consortium that power DataVisor's real-time fraud detection platform. This internship focuses on distributed systems, data pipelines, machine learning infrastructure, and applied AI, including exposure to agentic flows and large language models (LLMs). What You'll Do * Data Engineering & Pipelines * Assist in building and maintaining high-throughput data pipelines using technologies such as Spark, Kafka, or Flink * Help process and aggregate real-time signals (e.g., device fingerprints, behavioral data) into shared intelligence systems * Distributed Systems & Scalability * Learn to design and optimize backend systems that support large-scale, real-time decisioning * Contribute to improving system performance, reliability, and latency under high transaction volumes * AI Applications & Agentic Flows * Support the development of AI applications and agentic workflows using state-of-the-art LLMs (e.g., OpenAI, Anthropic, Google) * Experiment with natural language interfaces, intelligent rule suggestions, and automated strategy generation * Machine Learning Pipelines * Help deploy and monitor pipelines for unsupervised and supervised ML models * Assist with integrating models into real-time scoring APIs and decision engines * Privacy & Security * Learn best practices for privacy-first system design, including tokenization and hashing to protect sensitive data * Cross-Functional Collaboration * Work alongside Data Science, Product, and Engineering teams to test ideas, validate models, and ship production features * Recently graduated or currently completing an MS or Ph.D. in Computer Science, Machine Learning, AI, Data Science, or a related field * Passionate about learning how real-world AI systems are built at scale * Comfortable working with complex technical problems and eager to grow through mentorship * Strong programming skills in Python * Familiarity with at least one of the following: distributed systems, machine learning, data engineering, or backend development * Academic or project experience with big data frameworks (Spark, Kafka, Flink) is a plus * Understanding of core ML concepts (supervised / unsupervised learning) Preferred (Nice-to-Have) * Coursework or project experience with: * LLMs, RAG architectures, LangChain, or vector databases * Cloud platforms (AWS) and containers (Docker) * Stream processing or real-time systems * Interest in fraud, risk, or security domains (not required) * Hands-on experience working on production-scale AI systems * Mentorship from senior engineers and data scientists * Exposure to cutting-edge agentic AI and LLM applications * Opportunity for full-time conversion based on performance and business needs * Comp Range, $25 - $70/hour

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 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! Role Summary We are seeking a hands-on Senior Data Scientist to serve as the "Architect of Efficacy" for our AI-Powered Fraud Solutions suite. In this role, you will move beyond simple analysis to build the mathematical core of our product. You will design pre-built detection strategies that provide immediate protection for new clients, solving the industry-wide "Cold Start" problem. Working at the intersection of research and product, you will collaborate closely with our Product, Strategy, Data Science, Delivery, and Engineering teams to translate complex fraud patterns into scalable, automated defenses. Responsibilities Develop Pre-Built Detection Models: Design, back-test, and optimize statistical baselines and machine learning strategies for our core solution modules, including Real-Time Payments (RTP), ACH, Wire, Check, and Application/Onboarding. Mine the Global Consortium: Analyze large-scale, cross-industry data within our global intelligence network to identify high-risk device fingerprints and patterns of organized fraud, transforming these insights into features that can be deployed across all clients. Architect "Cold Start" Logic: Create generalized scoring models that deliver immediate value to new clients, ensuring they are protected against known threats even before their historical data is fully integrated. Validate AI Agent Logic: Serve as the expert "Human-in-the-Loop" for our AI-driven strategy engine, rigorously testing and validating automated fraud detection logic to ensure safety, transparency, and low false positive rates. Cross-Functional R&D: Collaborate with Product, Strategy, Data Science, Delivery, and Engineering teams to explore and implement state-of-the-art machine learning and large language model (LLM) capabilities, providing the statistical rigor needed to turn experimental concepts into production-grade features. Requirements Qualifications Experience: 1-5 years of hands-on experience in Data Science or Advanced Analytics. Technical Core: Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL. Statistical Rigor: Solid foundation in statistical modeling, feature selection, and performance evaluation (Precision/Recall, AUC, KS). Preferred Qualifications Experience with graph theory or link analysis for detecting network-based fraud. Familiarity with unsupervised learning techniques or anomaly detection. Previous experience working in a high-growth SaaS or Fintech environment. Domain Knowledge: Familiarity with Fraud Detection, Credit Risk, or Trust & Safety, including knowledge of payment rails (FedNow, ACH, Wire) and typologies (Synthetic ID, ATO, Kiting). Benefits Total Compensation: Includes Base + Performance Bonus + Equity Options. Benefits: Comprehensive medical, dental, and vision coverage. 401(k) retirement plan. Flexible Time Off (FTO) and paid holidays. Opportunities for R&D exploration and professional development. Regular team-building events and a collaborative, innovative culture.

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 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! We are looking for a data-driven and operationally minded Senior Strategic Financial Analyst to serve as a key architect of our financial planning and reporting infrastructure. In this high-visibility role, you will go beyond traditional reporting to act as a strategic partner to our GTM, R&D, and Operations leaders. You will not only track the numbers but also define how we track them-bridging the gap between our CRM (Salesforce) and Finance systems to ensure data integrity. If you are a proactive problem-solver with 5+ years of experience who loves building models, optimizing deal structures, and uncovering insights that drive revenue efficiency, we want to hear from you. Key Responsibilities: 1. 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. 2. 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. 3. 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. Requirements Experience: 5+ years of progressive experience in FP&A, Strategic Finance, or Sales Operations and equivalent strong analytics experience for business strategies. Industry Background: Prior experience in Enterprise SaaS company and prior private equity or investment banking experience preferred. Technical Stack: Advanced proficiency in Excel (complex modeling) is required. Strong familiarity with Salesforce (reporting, dashboards, object relationships) is essential. Experience with BI tools (e.g. Tableau, Power BI, Looker, Python) and Planning tools (e.g. Anaplan, Adaptive Insights) is a major plus. Education: Bachelor's degree in Finance, Math, Accounting, Economics, or a related quantitative field. MBA or master degree is a plus. Soft Skills: Proven ability to translate complex financial data into clear, actionable narratives for non-financial stakeholders (Sales, Engineering, Product). Strong communication skills and excellent writing skills. Strong team collaborator, self driven and motivated. Benefits Why You'll Love This Team: Impact: You won't just report the news; you'll help make it by influencing deal structures and operational strategy. Visibility: Direct reporting line to the VP of Finance and regular exposure to GTM leadership. Builder Mindset: Opportunity to design processes from scratch rather than just inheriting them. Compensation: Base Salary Rang: USD 100K to 130K per year Equity Benefits

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 solution scales infinitely and enables 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 guaranteed 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! Summary: As a Senior Sales Engineer, you will be the customer facing Subject Matter Expert for DataVisor's Fraud and AML Platform solution. You will work throughout the sales process, from leading discovery on both business and technical discussions, matching the DataVisor solution to the client's needs, and conducting demonstrations of the proposed solution and integration points back to the client. This role requires a deep understanding of our customers' business needs and the technical feature creation inside the DataVisor platform, and the ability to align DataVisor's solutions to achieve their strategic objectives. Responsibilities: Business Discovery: Work closely with the Account Executive (AE) to discover and understand the customer requirements regarding fraud and compliance strategy from both a current and future state. Technical Discovery: Work closely with the Account Executive (AE) and Solution Architect (SA) to discover and understand the customer requirements regarding integrations, e.g. data sources and 3rd party systems to integrate with, real time and/or batch requirements integration needs, turnaround times and latency requirements, high availability requirements, and security requirements. Customer Presentations and Demonstrations: Conduct presentations and demonstrations to explain proposed solutions and configurations to clients and stakeholders based on the customer's business and technical needs. Technical Integration Meetings: Drive external and internal meetings throughout the Integration Scoping and Planning phase. Align with various client stakeholders and DataVisor teams to ensure the proposed plan meets the customer requirements, both business and technical, and are compatible with DataVisor system architecture. Knowledge Handoff and Technical Escalation: Use standard documentations to conduct knowledge transfer and internal Q&A sessions with DataVisor post-sales teams e.g. Delivery, Customer Success, Engineering, and Data Science. During the onboarding phase, serve as the technical escalation point for customers in case issues and misalignments happen during the delivery phase. Domain and Product Expertise: Stay updated on industry trends and emerging technologies, particularly in financial services, fraud prevention, AML practices, and machine learning, to provide cutting-edge solutions to clients. Stay updated on product knowledge, product configuration best practices, and workarounds for known issues. Presentations and & Demonstrations: Conduct presentations and demonstrations to explain proposed solutions and configurations to clients and stakeholders. Request for Information / Request for Proposal contributor: Participate in strategy and completion of RFI/RFP responses. Requirements 7+ years of experience in customer-facing Sales Engineer or Solution Consulting roles with a focus in Fraud and Compliance (Anti-Money Laundering). 7+ years of selling into one of more of the following markets: Banks Credit Unions Fintechs Payment Processors e-Commerce Excellent communication and interpersonal skills up and down an organization; equally comfortable talking with a C-Level or a front line user, as well as equally comfortable talking with a CFO or CTO. Ability to work in an autonomous, self starter environment with a focus on results Ability to manage multiple projects simultaneously. 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. Benefits Base comp range: 140-180K per year, plus commission, commensurate with experience and quota. PTO, 401K and Health Insurance.

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 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! Role Summary We are seeking highly motivated, newly graduated or soon-to-graduate MS or Ph.D. students in Computer Science, Machine Learning, Data Science, or related fields to join us as AI / ML Engineering Interns. This internship is ideal for candidates who are eager to learn how large-scale AI systems are built and deployed in production. You will work closely with experienced engineers and data scientists to help build the Intelligence Layer and Data Consortium that power DataVisor's real-time fraud detection platform. This internship focuses on distributed systems, data pipelines, machine learning infrastructure, and applied AI, including exposure to agentic flows and large language models (LLMs). What You'll Do Data Engineering & Pipelines Assist in building and maintaining high-throughput data pipelines using technologies such as Spark, Kafka, or Flink Help process and aggregate real-time signals (e.g., device fingerprints, behavioral data) into shared intelligence systems Distributed Systems & Scalability Learn to design and optimize backend systems that support large-scale, real-time decisioning Contribute to improving system performance, reliability, and latency under high transaction volumes AI Applications & Agentic Flows Support the development of AI applications and agentic workflows using state-of-the-art LLMs (e.g., OpenAI, Anthropic, Google) Experiment with natural language interfaces, intelligent rule suggestions, and automated strategy generation Machine Learning Pipelines Help deploy and monitor pipelines for unsupervised and supervised ML models Assist with integrating models into real-time scoring APIs and decision engines Privacy & Security Learn best practices for privacy-first system design, including tokenization and hashing to protect sensitive data Cross-Functional Collaboration Work alongside Data Science, Product, and Engineering teams to test ideas, validate models, and ship production features Requirements Recently graduated or currently completing an MS or Ph.D. in Computer Science, Machine Learning, AI, Data Science, or a related field Passionate about learning how real-world AI systems are built at scale Comfortable working with complex technical problems and eager to grow through mentorship Strong programming skills in Python Familiarity with at least one of the following: distributed systems, machine learning, data engineering, or backend development Academic or project experience with big data frameworks (Spark, Kafka, Flink) is a plus Understanding of core ML concepts (supervised / unsupervised learning) Preferred (Nice-to-Have) Coursework or project experience with: LLMs, RAG architectures, LangChain, or vector databases Cloud platforms (AWS) and containers (Docker) Stream processing or real-time systems Interest in fraud, risk, or security domains (not required) Benefits Hands-on experience working on production-scale AI systems Mentorship from senior engineers and data scientists Exposure to cutting-edge agentic AI and LLM applications Opportunity for full-time conversion based on performance and business needs Comp Range, $25 - $70/hour