Sift

Customer Success Manager

United States

Sift Logo
Not SpecifiedCompensation
Entry Level & New GradExperience Level
Full TimeJob Type
UnknownVisa
Digital Trust & SafetyIndustries

Requirements

Candidates should possess 5+ years of experience in a Customer Success Manager role or similar, demonstrating a strong understanding of customer success principles and practices. Experience in the fraud/payments ecosystem is considered a plus, and a proven ability to own a book of business and retain customers is essential.

Responsibilities

The Customer Success Manager will be responsible for understanding customer business challenges, identifying and addressing technical issues, demonstrating the value of Sift’s solutions through strategic business reviews, and advocating for customer needs internally. They will also build and maintain a deep understanding of Sift’s product offerings, share best practices with customers, contribute to product documentation and training, and find ways to improve the customer experience by providing feedback and driving value realization.

Skills

Technical Acumen
Cross-functional Collaboration
Relationship Management
Project Management
Communication
Customer Advocacy
Product Expertise
Debugging
Solution Recommendations

Sift

Real-time fraud detection and prevention platform

About Sift

Sift provides a platform focused on detecting and preventing online fraud in real-time, catering to clients in e-commerce, fintech, and digital marketplaces. The platform uses machine learning and artificial intelligence to analyze large datasets, allowing it to identify fraudulent activities effectively. One of its standout features is dynamic friction, which ensures that genuine users have a smooth experience while preventing fraudsters from accessing services. Sift's business model is subscription-based, with fees that depend on transaction volume and service level. Additionally, Sift offers services like chargeback management and dispute resolution, which add further value to its offerings. The company's goal is to enhance digital trust and safety for businesses by providing tools that help them make informed decisions and protect against fraud.

Key Metrics

Bristol, United KingdomHeadquarters
2011Year Founded
$4.4MTotal Funding
SERIES_ACompany Stage
AI & Machine Learning, Financial ServicesIndustries
51-200Employees

Risks

Rise of app-enabled friendly fraud challenges Sift's mobile fraud detection capabilities.
Reliance on third-party delivery apps by QSRs introduces new fraud risks for Sift.
Complex payment processes may complicate Sift's integration and effectiveness in fraud prevention.

Differentiation

Sift offers a comprehensive platform for real-time online fraud detection and prevention.
The company uses machine learning and AI to analyze vast amounts of data effectively.
Sift's dynamic friction feature ensures seamless user experience while blocking fraudsters.

Upsides

Growing demand for AI-driven fraud detection in QSRs presents expansion opportunities for Sift.
Digital-first banks' need for effective authentication aligns with Sift's fraud prevention solutions.
Global trend towards secure payment systems supports Sift's mission for digital trust and safety.

Land your dream remote job 3x faster with AI