Technical Account Manager, DataVisor
CA$70-120k
+ Stock option
Fraud & AML detection platform
Be an early applicant
Fraud & AML detection platform
101-200 employees
Be an early applicant
CA$70-120k
+ Stock option
101-200 employees
Company mission
To build and restore trust online.
Role
Who you are
- 8+ 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
- Based in Ontario, Canada
What the job involves
- 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
- 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
Our take
As use of the internet rises, so too does the opportunity for fraud - with criminals exploiting the gaps that come with novel digital environments. DataVisor provides a fraud detection solution that leverages machine learning to identify threats. This helps to overcome the security gap caused by the speed at which today’s digital fraudsters evolve.
Traditional fraud solutions were not designed to handle digital data, and are ill-equipped to deal with quickly changing environments. By employing advanced ML, DataVisor can identify patterns which suggest fraudulent behaviour, allowing organisations to respond immediately and prevent losses before they happen.
Another problem has been that, in the name of security, systems might delay good customers from accessing services. With DataVisor, however, this becomes a non-issue, as the pattern of a non-malicious user can also be identified with speed.
DataVisor has seen considerable investment that has fuelled its continued expansion. It also boasts an impressive list of customers and partnerships. For example, a partnership with Equifax allowed it to extend it analytics and fraud detection capabilities. It has also launched the industry’s first unified, AI-powered SAR filing solution.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Dec 2022
$40m
LATE VC
Feb 2018
$40m
SERIES C
Total funding: $94.5m
Company benefits
- Stock Options
- Commuter Passes
- Paid Time Off
- Catered Lunch and Dinner
- Team and Company Outings
Company HQ
Mountain View, CA
Leadership
Yinglian Xie
(CEO & Co-founder)Extensive experience in security and AI. Previously a Senior Researcher at Microsoft Research.
Fang Yu
(CPO & Co-founder)Former Senior Researcher at Microsoft Research, with vast experience in big-data algorithms.
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