Job description
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. 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
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.