DataVisor Logo

DataVisor

Sr. Technical Account Manager - Canada East

Reposted One Month Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Toronto, ON, CAN
Senior level
In-Office or Remote
Hiring Remotely in Toronto, ON, CAN
Senior level
Manage a portfolio of customers as a trusted technical advisor for fraud and risk use cases. Oversee data integration and onboarding, troubleshoot platform performance, architect ML and rule-based solutions, lead deployments and business reviews, and coordinate cross-functionally to drive adoption and product improvements.
The summary above was generated by AI

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 CAD $130,000 – $150,000, commensurate with experience.
  • Bonus, PTO, Stock Option, Health Benefits

Similar Jobs

Yesterday
In-Office or Remote
Canada
Senior level
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads health technology assessment, value, and evidence strategy for Pfizer’s genitourinary oncology portfolio. Manages HEOR, real-world evidence, economic models, global value dossiers, registries, and evidence dissemination to support reimbursement and patient access. Partners with global, regional, country, and cross-functional oncology teams, oversees vendors and project teams, and communicates findings through publications and conferences.
Yesterday
Easy Apply
Remote
Canada
Easy Apply
Senior level
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Lead technical strategy and execution for foundational Trust and Safety backend systems supporting consumer risk and credit reporting. Design and operate highly available distributed systems, improve reliability, monitoring, testing, and on-call processes, and guide cross-functional initiatives. Establish engineering standards, conduct technical planning, mentor engineers, communicate architectural decisions, and drive system quality, scalability, and sustainability across teams.
Top Skills: SparkAWSKotlinKubernetesMySQLPython
2 Days Ago
Easy Apply
Remote
Canada
Easy Apply
Expert/Leader
Expert/Leader
Cloud • Security • Software • Cybersecurity • Automation
Leads technical direction for GitLab’s Core DevOps services, covering CI, CD, planning, and source control. Defines architecture, quality metrics, migration strategies, and technical roadmaps; addresses systemic risk and complex design decisions; prototypes and writes code when needed; partners with Infrastructure, Security, SRE, and Product; adopts AI capabilities; mentors senior engineers; supports incident response and senior technical hiring.
Top Skills: Agentic FrameworksAIAutonomous WorkflowsCi/CdDevOpsDistributed SystemsFault ToleranceGitlabHuman-In-The-Loop ControlsLarge Language ModelsMachine LearningMulti-Tenant SystemsObservabilityResponsible Ai

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account