Sift

Sift applies insights from a global network of data to detect fraud and increase positive user experience.

251-500 employees
Founded 2011
Fraud Detection
Private Company

Remote-First Company

This company operates with a remote-first culture, allowing team members to work from anywhere.

Open Positions4

Remote - USAFull-TimeFraud PreventionPosted
  • Serve as the named, persistent technical partner for a portfolio of strategic and premium accounts in close alignment with the CSM.
  • Build and maintain a technical success plan for each account alongside the CSM, translating technical diagnostics into clear business value stories.
  • Diagnose and guide customers on ongoing best practices for workflow design, labeling strategy, and configuration hygiene.
  • Own implementation continuity after go-live, ensuring deep account context survives the handoff from onboarding.
  • Run recurring technical health reviews and diagnostic readouts with the CSM, surfacing risks early.
  • Help customers navigate model releases by analyzing score behavior and explaining business impact.
  • Operationalize fraud strategy and vertical recommendations inside the customer's Sift environment.
  • Coordinate the technical diagnostic and mitigation response during active fraud attacks.
  • Act as the voice of the customer internally by spotting recurring technical patterns and feature requests.
PythonSQLData Analysis+4 more
Showing 1 of 4 positions

About Sift

Sift pioneers Digital Trust & Safety, empowering online businesses to grow fearlessly by preventing fraud. You will help secure transactions and build trust for over 34,000 sites and apps worldwide. Sift's AI-powered platform uses machine learning and a global data network scoring 1 trillion events per year. They serve diverse industries including digital commerce, fintech, and online gambling, delivering tailored experiences that stop fraudsters while ensuring smooth interactions for honest users.

How We Work

Sift embraces a remote-first philosophy, with most roles available across the USA. You will join a team intentionally building a diverse, equitable, and inclusive workplace. They believe diversity drives innovation and inclusion is a basic human need. You will contribute to "Borderless Sift," fostering seamless collaboration across virtual and organizational boundaries. They practice "Gather with Purpose," focusing on impactful meetings that build connection and belonging.

Engineering at Sift

Sift's engineering teams tackle complex challenges in large-scale fraud prevention. You will work with a modern tech stack focused on scalability and resilience. The core platform team designs and evolves highly distributed components that power Sift's Digital Trust & Safety platform. Engineers build immutable infrastructure and fault-tolerant, multi-AZ/multi-region systems. You will optimize local development workflows and create dynamic environments. Opportunities include high-load platform challenges and building new capabilities to handle petabytes of data with high fault tolerance.

Why Join Us

  • Build trust for over 34,000 global businesses by solving complex fraud problems with AI.
  • Contribute to a remote-first, inclusive culture that values authenticity and diverse experiences.
  • Work with a cutting-edge tech stack, including GCP, Kubernetes, Kafka, and React, solving large-scale distributed system challenges.
  • Shape the future of Digital Trust & Safety with deep investments in machine learning and a vast data network.
  • Benefit from continuous professional growth through tri-annual Growth Cycles and bi-annual Hackathons.

Benefits & Perks

  • Competitive total compensation package and 401k plan
  • Medical, dental, and vision coverage
  • Flexible lifestyle wallet and learning & development wallet
  • Flexible time off for exempt employees, three weeks PTO for non-exempt
  • 4 Mental Health Days annually, plus national holidays
  • Six-week paid sabbatical for eligible employees with 5 years of tenure
  • Company equity for all employees

Tech Stack

mobilecms

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