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DataVisorDA

Sr. Sales Engineer

DataVisor is an AI-powered fraud and risk management platform that utilizes unsupervised machine learning to help enterprises detect and prevent various digital threats in real-time.

DataVisor

Employee count: 51-200

Salary: 140k-180k USD

United States only

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About DataVisor

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.

Qualifications

  • 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:
  1. Banks
  2. Credit Unions
  3. Fintechs
  4. Payment Processors
  5. 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.

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    About the job

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    Posted on

    Job type

    Full Time

    Experience level

    Salary

    Salary: 140k-180k USD

    Location requirements

    Hiring timezones

    United States +/- 0 hours

    About DataVisor

    Learn more about DataVisor and their company culture.

    View company profile

    DataVisor is a global leader in AI-powered fraud and risk management. Founded in 2013, the company provides an end-to-end Software-as-a-Service (SaaS) platform that leverages advanced artificial intelligence and machine learning capabilities to protect large consumer-facing enterprises and financial institutions from a wide array of digital threats. These threats include fraudulent transactions, spam, fake reviews, promotion abuse, fake application installs, identity theft, and money laundering. DataVisor's mission is to build and restore trust online by enabling organizations to proactively combat evolving fraud patterns in real-time.

    The company's platform is distinguished by its patented unsupervised machine learning (UML) technology. This approach allows the system to identify new and unknown malicious actors and coordinated fraud rings without relying on historical labels or training data, which is crucial for staying ahead of sophisticated and rapidly changing attack vectors. DataVisor's solutions are designed to be data-agnostic, capable of ingesting and analyzing vast amounts of data from various sources to provide a holistic view of risk. The platform offers comprehensive capabilities including data orchestration, real-time feature computation, a flexible decision engine, and powerful case management tools. It is built to scale, handling high transaction volumes with low latency, making it suitable for some of the world's largest organizations. DataVisor serves a diverse range of industries, including financial services, banking, credit unions, fintech, e-commerce, social platforms, and digital payments, helping them to reduce fraud losses, improve operational efficiency, minimize customer friction, and ensure regulatory compliance.

    Claim this profileDataVisor logoDA

    DataVisor

    Company size

    51-200 employees

    Founded in

    2013

    Chief executive officer

    Yinglian Xie, Fang Yu

    Employees live in

    View company profile

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