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Sift

AI-driven real-time fraud prevention for e-commerce

Customer Success Manager

Customer SuccessConfirmed live in the last 24 hours
Full-timeRemote in USA$110k - $152k /yrRemote

About the Job

Requirements

  • At least 3 years of experience in a customer-facing Customer Success, Account Management, or similar role, or equivalent practical experience.
  • Strong critical thinking and problem-solving skills to work through ambiguous customer situations and find appropriate solutions.
  • Ability to build trusted customer relationships and represent customer needs internally.
  • Experience using AI and large language model tools, such as ChatGPT, Claude, or Cowork, for day-to-day work, with general fluency in AI-assisted workflows.
  • Strong customer-facing communication skills for technical and non-technical audiences.

Responsibilities

  • Serve as a day-to-day point of contact for a portfolio of accounts and build relationships beyond transactional interactions, with guidance from senior Customer Success Managers and the manager on complex situations.
  • Apply critical thinking to identify customers' underlying needs and involve senior team members in ambiguous or high-stakes situations when appropriate.
  • Help customers adopt Sift platform features relevant to their goals and track progress toward measurable outcomes.
  • Represent customer feedback and needs internally, partnering with senior Customer Success Managers and other teams on escalations.
  • Help prepare and contribute to quarterly business reviews and other customer-facing reviews, taking on more ownership as experience grows.
  • Develop working knowledge of Sift's product and the fraud landscape, and begin contributing best practices to the team.

Desired Qualifications

  • Experience in the fraud, payments, or trust and safety industry.
  • A bachelor's degree in a relevant field, or equivalent practical experience.
  • Experience supporting or contributing to strategic business reviews, such as quarterly business reviews.
  • Familiarity with software-as-a-service products.

About the Company

Sift

AI-driven real-time fraud prevention for e-commerce

Sift builds a Digital Trust & Safety platform that helps e-commerce and fintech companies prevent fraud while keeping legitimate customers moving. It uses machine learning and AI to analyze vast streams of data in real time, delivering risk scores and decisions that integrate with clients’ existing systems. The platform provides dynamic friction—allowing valid transactions to proceed smoothly while stopping fraudulent ones—and it scales across small online retailers to large financial institutions. Revenue comes from a subscription model plus consulting and custom integration services. Sift’s goal is to reduce chargebacks and account takeovers, protect customer trust, and support safe digital commerce at scale, by delivering precise, real-time fraud prevention without disrupting normal user experiences.

Company size
201-500
Company stage
Series E
Total funding
$156.7M
Headquarters
San Francisco, CA
Founded
2011

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