Sift

Enterprise Account Executive

United States

$200,000 – $250,000Compensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Fraud, Security, Payments, SaaSIndustries

About the Role

Salary: $200K - $250K Location Type: Remote Employment Type: FullTime

What We're Looking For

Sift is looking for an Enterprise Account Executive to drive the distribution of our industry-leading fraud solution to the largest and fastest-growing businesses in the world. The ideal candidate will bring a cross-functional B2B sales approach that focuses on demonstrating value to the business/technical buyers and all the way up to C-Suite. Must demonstrate the ability to change and adapt to a fast-growing company in a remote environment.

What You'll Do

  • Drive: Must have a hunter mentality to expand Sift’s solutions adoption in our strategic accounts ideal customer profile through value-based selling and clearly articulating our platform differentiation.
  • Engage: You’ll engage directly with our largest prospects to understand their fraud challenges and how they can be solved with Sift’s machine learning digital trust platform.
  • Be a consultative problem solver: Sift is disrupting how businesses address the $55B fraud problem. A key component of your job is building tailor-made business cases that demonstrate how Sift is uniquely positioned to solve customers’ fraud problems.
  • Win as one team: You will demonstrate internal leadership and engage in cross-functional collaboration to drive the platform and process evolution that positions Sift to win.
  • Shape strategy and scale: You will have an opportunity to shape the strategy and tactics that fuel our continued growth across the globe.

What Would Make You a Strong Fit

  • 8+ years of high performance in a SaaS sales closing role; preferably in the payments, fraud or security industry
  • Experience working full cycle sales (prospecting to close)
  • Ability to build trust with multiple technical decision makers
  • Strong organizational skills and ability to manage multiple priorities in a high-growth, high-volume environment
  • Team player: coachable, collaborative, thoughtful, and resourceful with a strong sense of urgency

Bonus Points For

  • Fluency in another language from the Eastern European region
  • Knowledge of the FinTech industry is a plus
  • Knowledge of the payment industry is a plus
  • Command of the Message and MEDDPICC methodology experience

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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