
201 - 500 employees
Founded 2011
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Sift is an industry leader in digital fraud management, offering robust AI-powered solutions to combat various forms of online fraud such as account takeovers, payment fraud, and chargebacks. With a scalable platform, Sift enables businesses to secure their operations through advanced decision-making and fraud detection technologies. Their platform is trusted by over 700 global brands, providing precise, user-level insights to turn fraud challenges into opportunities for scalable growth. Sift emphasizes the importance of partnerships and a strong community to enhance their fraud decisioning service, fostering secure business development across various sectors like e-commerce, fintech, and travel. Additionally, Sift is recognized for its insights and efforts in fraud industry leadership, featuring capabilities such as payment protection, account defense, and dispute management.
🕒 September 25
🇺🇸 United States – Remote
💵 $115k - $155.5k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧑🔧 Technical Account Manager
🦅 H1B Visa Sponsor
👻 Ghost score 0%
Where this job comes from
Posted on Sift's careers page, not through a job board
First seen by Remote Rocketship September 25
Still open on Sift's site. Checked 8 hours ago.

201 - 500 employees
Founded 2011
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Sift is an industry leader in digital fraud management, offering robust AI-powered solutions to combat various forms of online fraud such as account takeovers, payment fraud, and chargebacks. With a scalable platform, Sift enables businesses to secure their operations through advanced decision-making and fraud detection technologies. Their platform is trusted by over 700 global brands, providing precise, user-level insights to turn fraud challenges into opportunities for scalable growth. Sift emphasizes the importance of partnerships and a strong community to enhance their fraud decisioning service, fostering secure business development across various sectors like e-commerce, fintech, and travel. Additionally, Sift is recognized for its insights and efforts in fraud industry leadership, featuring capabilities such as payment protection, account defense, and dispute management.
• Serve as the named, persistent technical partner for a portfolio of strategic and premium accounts alongside the CSM • Build and maintain technical success plans and translate diagnostics into business value stories and executive roadmaps • Diagnose workflow design, labeling strategy, and configuration hygiene issues • Own implementation continuity after go-live and catch technical drift early • Run recurring technical health reviews and diagnostic readouts • Help customers navigate model releases by analyzing score behavior changes and business impact • Operationalize fraud strategy and vertical recommendations in customer environments • Coordinate technical diagnostic and mitigation responses during active fraud attacks • Orchestrate Support, Customer Engineering, and Product while keeping customers and CSMs informed • Identify recurring technical patterns, feature requests, and workflow trends for Product and Engineering • Act as the primary technical partner to the CSM across cross-functional teams • Contribute to account retention and growth by identifying technical risk and reducing repeat issues
• 5+ years in a technical, customer-facing role such as Technical Account Management, Solutions Engineering, Implementation, or Technical Support • Prior experience in fraud or payments • Strong pattern recognition across APIs, webhooks, JSON, and data logs • Working SQL and data analysis skills, or ability to quickly develop them • Familiarity with scripting languages; Python is a plus • Ability to translate technical detail into business impact for engineers and non-technical stakeholders • Structured, proactive approach to account health • Comfort operating under pressure during live incidents • Strong cross-functional instincts and ability to coordinate Support, Customer Engineering, TASA, or Product • Familiarity with machine learning concepts sufficient to explain model behavior, score changes, and release impact • Experience running formal technical health reviews, QBR-style technical readouts, or success planning cadences • Must live in and be authorized to work from a state where Sift is registered
• Equity • Other benefits may be available • Diverse, equitable, and inclusive workplace
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