高级技术客户经理
Sr. Technical Account Manager
关于DataVisor
DataVisor是全球领先的AI驱动的欺诈和风险平台，为行业提供最佳的整体检测覆盖率。通过一个开放的SaaS平台，支持任何数据的轻松整合和丰富，DataVisor的解决方案可以无限扩展，并使组织能够实时应对快速演变的欺诈和洗钱活动。其专利的无监督机器学习技术、先进的设备智能、强大的决策引擎和调查工具协同工作，从第一天起就提供保证的性能提升。DataVisor平台的灵活架构使企业能够在不同业务中推动复杂和高级的用例，同时大幅降低总体拥有成本。DataVisor被公认为行业领导者，已被全球多个行业的财富500强公司采用。
我们获奖的软件平台由在大数据、机器学习、安全和可扩展基础设施方面的一流专家团队打造。我们的文化开放、积极、协作且以结果为导向。加入我们吧！
职位概述
作为高级技术客户经理（TAM），您将管理客户关系组合，并在客户欺诈和风险团队的关键领导者中建立自己作为值得信赖的技术顾问和解决方案合作伙伴的地位。您将与我们的交付团队合作，监督客户的数据显示集成和上线流程。您的目标是确保客户在实施我们的平台时采用最佳实践，以确保他们从投资中获得最大价值。您将参与广泛的主题，包括评估/调试平台性能或产品功能问题，提供技术指导和最佳实践，或建议客户使用自定义或DataVisor构建的机器学习模型和/或自动化规则来检测可疑活动。您将与客户成功、工程和产品团队跨职能合作以实现目标。
主要职责
- 提供产品支持、升级和技术问题的解决
- 为客户欺诈问题设计机器学习和基于规则的解决方案
- 在后期销售前电话会议中领导解决方案部署深入讨论
- 理解客户用例并制定实现成功标准的计划
- 管理客户的集成和产品实施流程
- 进行和协调客户现场技术评审
查看英文原文
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