Sift

Customer Experience Operations Manager

United States

Sift Logo
$60,000 – $80,000Compensation
Mid-level (3 to 4 years), Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Customer Experience, Operations Management, SaaSIndustries

Requirements

Candidates should possess a Bachelor’s degree in a related field, along with at least 7 years of experience in operations management, preferably within a customer experience or SaaS environment. Proficiency in Atlassian products (JIRA, Confluence), Snowflake, Looker, Excel, and Google Suite products is required. Strong analytical and problem-solving skills are essential, as is the ability to thrive in an ambiguous environment and quickly learn new technologies.

Responsibilities

The Customer Experience Operations Manager will establish and improve operational frameworks for the Customer Experience team, focusing on Customer Business Review Optimization, including building a process for creating business review decks, maintaining a metrics dashboard, and aligning with XFN partners. They will also support cross-functional initiatives to streamline data flow between teams and analyze team efficiency and production, ensuring proper tracking setup and projects are in place to enhance IC productivity. Furthermore, this role involves taking on ad hoc requests from CX leadership for analysis and reporting.

Skills

Atlassian JIRA
Atlassian Confluence
Snowflake
Looker
Excel
Google Suite
Analytical Skills
Problem-Solving
Process Improvement
Data Analysis

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.

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