Pre-Sales Solutions Architect, DataVisor
+ Stock options
ML-powered fraud detection
Job no longer available
ML-powered fraud detection
101-200 employees
Job no longer available
+ Stock options
101-200 employees
Company mission
To deliver the world’s most sophisticated AI-powered solutions to keep companies and their customers safe from fraud and abuse.
Role
Who you are
- 3+ years of experience in customer-facing SaaS project implementation roles e.g. Solution Implementation Engineer, Technical Project Manager
- 3+ years of experience in working with Real Time data integrations (e.g. RESTful API and Kafka) and batch data integrations (e.g. SFTP, cloud bucket) with core banking systems, relational databases, and data warehouse products
- 2+ years of experience in utilizing or implementing risk management tools that have a rules engine and case review system
- Domain expertise in system architecture of SaaS platforms
- Domain expertise in system integrations and data integrations
- Domain expertise in API and UI authentication, and data encryption
- Domain expertise in anti-fraud and AML systems in the financial industries
- Familiarity in fraud/AML data structure and operation workflows
- Excellent communication and interpersonal skills
- Client management, expectation setting, objection handling, consulting skills
- Ability to convey complex technical concepts to non-technical audiences, and switch between technical and business centric discussions
- Creative problem-solving skills and a results-driven mindset
- Ability to work collaboratively in a team environment and manage multiple projects simultaneously
- Bachelor’s degree in a technical or analytical discipline e.g. Engineering, Statistics, Computer Science
What the job involves
- We are looking for a Pre-sales Solution Architect to lead the solution architecting and integration scoping in the mid-to-late stage of the pre-sales cycles
- You will be driving technical discussions and deep dives with the customers’ risk business teams (Fraud and AML), data team, system architect team, Engineering team, and info security team, to present DataVisor system architecture and integration options, discover integration-related business and technical needs, design and propose integration architecture
- You will use your strong business acumen and technical knowledge to get to alignments with the customers, and document the integration proposals for the post-sales execution to be based on
- You will provide proper handover to post-sales teams e.g. Delivery, Customer Success, Data Science, to ensure they fully understand the scope, business requirements and integration plan
- You remain as a big stakeholder in the deployment phase and see it through to make sure the customers get the expected outcome from the integration plan
- You will work closely with multiple teams within DataVisor, e.g. Account Executives (AE), Sales Engineers (SE), Delivery, Product, Engineering, Customer Success, and Data Science
- Integration Requirement Discovery: Work closely with the Account Executive (AE) and Sales Engineer (SE) to discover and understand the customer requirements regarding integrations, e.g. data sources to integrate with, 3rd party systems to integrate with, real time and/or batch integration needs, turnaround time and latency requirements, high availability requirements, security requirements
- Technical Integration Meetings: Manage and drive external and internal meetings throughout the Integration Scoping and Planning phase. Align with various client stakeholders and DataVisor teams to ensure the proposed plan meets customer requirements, both business and technical, and are compatible with DataVisor system architecture
- Knowledge Handoff and Technical Escalation: Use standard documentations to conduct knowledge transfer and internal Q&A sessions with DataVisor post-sales teams e.g. Delivery, Customer Success, Engineering, and Data Science. During the onboarding phase, serve as the technical escalation point for customers in case issues and misalignments happen during the delivery phase
- Demo and POC Environment Setup: Own the solution demo environment to make sure it’s properly configured with the latest and greatest product functionalities. Own the POC environment setup tasks for the DataVisor platform POCs, including tenant creation, user access setup, data loading, out-of-the-box rules creations, case review system default setup configurations
- Domain and Product Expertise: Stay updated on industry trends and emerging technologies, particularly in financial services, fraud prevention, AML practices, and machine learning, to provide cutting-edge solutions to clients. Stay updated on product knowledge, product configuration best practices, workarounds for known issues
- Presentations & Demonstrations: Conduct presentations and demonstrations to explain proposed solutions and configurations to clients and stakeholders
Our take
As the use of online shopping and banking continues to rise, so too does the opportunity for fraud, with criminals exploiting the gaps in defences that come with an increasingly novel digital environment. DataVisor provides the leading fraud detection solution that leverages machine learning to identify threats, to overcome the security gap caused by the speed at which today’s digital fraudsters evolve.
Traditional fraud solutions have not been designed to handle digital data, and they are especially ill-equipped to deal with quickly changing environments. By employing advanced ML, DataVisor can identify the patterns which allude to fraudulent behaviour, allowing organisations to respond immediately and prevent losses before they happen. Another problem with some systems has been that, in the name of security, they might delay ultimately good customers from accessing services. With DataVisor 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 will fuel its continued expansion across the globe - and has an impressive list of customers. The company has also made several partnerships that will act towards strengthening its product offering. For example, it is extending its analytics and fraud detection through partnership with Equifax, by gaining access to its rich consumer identity data.
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)Extensive experience in security and AI. Previously a Senior Researcher at Microsoft Research.
Fang Yu
(CPO)Former Senior Researcher at Microsoft Research, with vast experience in big-data algorithms.
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