Enterprise Account Executive

United States

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$200,000 – $250,000Compensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Fraud, Security, Payments, SaaSIndustries

Requirements

Candidates must have 8+ years of high-performance SaaS sales closing experience, preferably in payments, fraud, or security. Experience with full-cycle sales, building trust with technical decision-makers, and managing multiple priorities in a high-growth environment is essential. Fluency in an Eastern European language and knowledge of the FinTech or payment industries are considered bonuses.

Responsibilities

The Enterprise Account Executive will drive the adoption of Sift's fraud solution within large, growing businesses by employing a cross-functional B2B sales approach. Responsibilities include hunting for new opportunities, engaging with prospects to understand fraud challenges, building custom business cases, and collaborating cross-functionally to evolve the platform and processes. The role also involves shaping sales strategy and tactics to support global growth.

Skills

SaaS sales

closing

value-based selling

fraud solutions

payments

security

full cycle sales

prospecting

business cases

collaboration

organizational skills

prioritization

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.

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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