DataVisor is a leading AI-Powered fraud and risk management platform that enables organizations to respond to fast-evolving cyber attacks and mitigate risks as they happen in real time.  Our mission is to protect large consumer facing enterprises protect their business and their customers from digital threats and restore trust and safety online. DataVisor is venture-backed by New View Capital and Sequoia and is Series- C funded. It is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. 

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Risk & Compliance

•Deeply understand client use cases and define plans to achieve success criteria
•Develop and use a comprehensive framework to track the customers’ business values
•Oversee and lead the data integration with and onboarding of new customers
•Oversee and lead professional service projects to improve rule and model detection performance
•Lead remote or onsite QBRs to present solution values to and align priorities with customer teams
•Partner with the Sales team on relationship management, renewal, and upsell executions

Director of Risk Strategies - US/Canada

IT Support

•Provide fast-paced product support to full portfolio of DataVisor clients via our support ticketing system
•Ability to triage support requests to in an effective manner to ensure request prioritization is maintained
•Help monitor and manage internal alerts and dashboards in relation to client health; including but not limited to QPS, latency, and data stream issues
•Work closely with engineering teams on any product bugs or system issues that require their support
•Give clear explanation both internally and externally when a support issue is reported, with clear context and reporting of steps already taken
•Work closely with product teams to understand our full suite of products and become an expert on their usability and application
•Ability to analyze and track recurring support issues and trends to provide feedback on product enhancements and training
•Understand our system architecture and technical integration with different clients and their use cases

Technical Support Specialist - US/Canada

Project & Program Management

•As the sprint master, help engineering managers to conduct sprint planning, drive progress and solve issues in each sprint. Work with product and engineering managers to clarify requirements and prioritize tasks in each sprint; Drive team stand-ups to track development progress; Manage cross-team dependencies; Drive issue resolution; Organize QA testing and drive bug resolution; Work with stakeholders to deliver products on time and in high quality.
•Run project statistics on task completion, team efficiency and more.
•Continuously coordinate resources and projects across US and China, tracking critical dates and deliverables
•Develop strong cross-functional relationships that enable teams to operate efficiently and without friction
•Effectively anticipate and plan for risks and contingencies, proactively documenting and communicating them to stakeholders
•Drive the incident response process, handling communications and postmortems to mitigate similar problems in the future
•Facilitate and participate in regular status meetings to capture meeting minutes, drive follow-ups and prepare status reports for senior leadership

Bilingual (Chinese) Technical Project Manager - Canada

Full-stack Engineer

•Design and build machine learning systems that process data sets from the world's largest consumer services
•Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters
•Build and optimize systems, tools, and validation strategies to support new features
•Help design/build distributed real-time systems and features
•Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large-scale machine learning pipelines
•Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink)

Software Engineer - EU Region

•Design and build machine learning systems that process data sets from the world's largest consumer services
•Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters
•Build and optimize systems, tools, and validation strategies to support new features
•Help design/build distributed real-time systems and features
•Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines
•Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink)

Software Engineer - Canada

• Design and build machine learning systems that process data sets from the world's largest consumer services
• Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters
• Build and optimize systems, tools, and validation strategies to support new features
• Help design/build distributed real-time systems and features
• Use big data technologies (e.g.
• Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines

Senior Software Engineer - Ireland

DevOps

• Work with the infra team to automate code deployment and infrastructure management process
• Help reduce cost by optimizing the way we run jobs across multiple cloud providers
• Look for root cause for issues and make code changes to improve reliability and scalability

Senior DevOps Engineer - Ireland

Backend Engineer

•Design and build machine learning systems that process data sets from the world's largest consumer services
•Build and optimize systems, tools, and validation strategies to support new features
•Help design/build distributed real-time systems and features
•Develop new systems on top of real-time  technologies (e.g. Kafka)

Senior Software Engineer C++ -Canada

Engineering Manager

• Design and build machine learning systems that process data sets from the world's largest consumer services
• Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters
• Build and optimize systems, tools, and validation strategies to support new features
• Help design/build distributed real-time systems and features
• Use big data technologies (e.g.
• Spark, Flink, Cassandra) to build large scale machine learning pipelines
• Manage and coach team members

Remote Jobs at DataVisor

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Director of Risk Strategies - US/Canada

DataVisor

Technical Support Specialist - US/Canada

DataVisor

Bilingual (Chinese) Technical Project Manager - Canada

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Software Engineer - EU Region

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Software Engineer - Canada

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Senior Software Engineer - Ireland

DataVisor

Senior DevOps Engineer - Ireland

DataVisor

Senior Software Engineer C++ -Canada

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Software Engineering Manager -- Ireland

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