- Location
- USA
- Workplace
- Remote
- Employment
- Full time
- Level
- Mid level
- Posted
- 30 October
About this role
About the Team
Our Customer Success team partners with leading global businesses to drive adoption of Sift's Digital Trust & Safety solutions. We are subject matter experts on Sift's products and our customers' needs, cultivating trusted relationships that turn product usage into measurable business outcomes. Internally, we are the voice of the customer, and we're always looking for smarter, faster ways to serve our accounts - including experimenting with new AI tools that make our day-to-day work sharper. It's a team that bridges business and technical challenges while helping our customers unlock the full value of Sift's platform.
What We're Looking For
We're looking for a Customer Success Manager who's eager to build real expertise in a high-stakes, fast-moving industry. You bring sharp critical thinking to a customer's stated request, working to understand the real need behind it, and you build trust quickly with the people you work with - both customers and internal partners. You're comfortable learning a complex product and an evolving fraud landscape, and you reach for the right tools, including AI tools, to work smarter as you grow into the role.
What You'll Do
Supporting a portfolio of accounts: Serve as a day-to-day point of contact for a portfolio of accounts, building relationships that go beyond the transactional, with guidance from senior CSMs and your manager on more complex situations.
Diagnosing customer needs: Apply critical thinking to get past a customer's stated request to the underlying need, with an understanding of when to loop in senior team members on ambiguous or high-stakes situations.
Contributing to product adoption: Help customers adopt the Sift platform features most relevant to their goals, and track progress toward measurable outcomes.
Advocating for customers: Represent customer feedback and needs internally, partnering with senior CSMs and other teams on escalations.
Supporting strategic business reviews: Help prepare and contribute to QBRs and other customer-facing reviews, with growing ownership as you build experience.
Building product and industry expertise: Develop a working understanding of Sift's product and the fraud landscape, and start contributing best practices back to the team.
What Would Make You a Strong Fit
Must-haves:
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 - comfortable working through ambiguous customer situations to find the right solution
Demonstrated ability to build trusted relationships with customers and represent their needs internally
Experience leveraging AI/LLM tools (e.g., ChatGPT, Claude, Cowork) for day-to-day work, and general fluency with AI-assisted workflows
Strong customer-facing communication skills, comfortable with technical and non-technical audiences alike
Nice to have:
Experience in the fraud, payments, or trust & safety industry
Bachelor's degree in a relevant field, or equivalent practical experience
Experience supporting or contributing to strategic business reviews (e.g., QBRs)
Familiarity with SaaS products
Our Typical Interview Process
Recruiter conversation: 30 - 45 minutes with a recruiter to discuss your background and the role.
Hiring manager screen: 30 - 45 minutes with the hiring manager to explore your fit for the position.
Interview loop & presentation with the team: covering a customer scenario walkthrough, stakeholder management, critical-thinking exercises, and values & behavior.
Benefits and Perks
Competitive total compensation package
401k plan
Medical, dental and vision coverage
Flexible lifestyle wallet
Learning & development reimbursement
Flexible time off
Company Mental Health Days
Let’s build it together:
At Sift, we are intentionally building a diverse, equitable, and inclusive workplace. We believe that diversity drives innovation, equity is a fundamental right, and inclusion is a basic human need. We envision a place where all Sifties feel secure sharing their authentic selves and diverse experiences with their teams, their customers, and their community - ultimately using this empowerment and authenticity to build trust and create a safer Internet.
This document provides transparency around how Sift handles the personal data of job applicants: https://sift.com/recruitment-privacy
A little about us:
Sift is the AI-powered fraud platform securing digital trust for leading global businesses. Our deep investments in machine learning and user identity, a data network scoring 1 trillion events per year, and a commitment to long-term customer success empower more than 700 customers to grow fearlessly. Global brands rely on Sift to unlock growth and deliver seamless consumer experiences. Visit us at sift.com and follow us on LinkedIn.
As published by Sift Science. Applications are handled on their site.
Skills this posting mentions
About Sift Science
Sift is the leading fraud prevention platform delivering digital trust to 700+ global brands, allowing them to grow confidently by stopping fraud while enabling excellence in customer experience. Backed by a global data network of over one trillion annual events, Sift helps companies convert risk into revenue and scale without compromise. Brands including Hertz, Yelp, and Poshmark rely on Sift to unlock growth and deliver seamless consumer experiences. Visit us at sift.com
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Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
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- Every bullet stays inside what your history supports. Nothing invented.
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