
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.
🔥 0 minutes ago
Where this job comes from
Posted on Sift's careers page, not through a job board
First seen by Remote Rocketship 0 minutes 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.
• Partner with Enterprise Account Executives to drive complex technical sales cycles with strategic accounts • Lead technical discovery and workshops covering customer architecture, workflows, fraud challenges, and business goals • Design and deliver solution presentations and narratives for technical and business audiences • Guide prospects through technical validation, integrations, and proof-of-value engagements • Translate product capabilities into customer outcomes and measurable business value • Build credibility with engineers, fraud leaders, operations teams, and executive stakeholders • Surface market feedback and customer requirements to influence the product roadmap • Improve internal tooling, knowledge sharing, and repeatable presales processes • Help prospects move faster through evaluation and improve the quality and consistency of technical selling
• 5+ years of experience in a Sales Engineer customer-facing technical role • Experience supporting complex enterprise SaaS sales cycles • Strong technical foundation, ideally including APIs, integrations, and data-driven or analytics-oriented platforms • Excellent communication and presentation skills for technical and non-technical audiences • Ability to work effectively across multiple stakeholders and concurrent opportunities • Comfortable using Python or a similar language for demonstrating API usage • Self-starter mindset with strong judgment, curiosity, and a bias toward action • Experience in fraud, payments, risk, trust & safety, or adjacent problem spaces (nice-to-have) • Experience running POVs, pilots, or technical evaluations for AI/ML-driven products (nice-to-have) • Familiarity with applied machine learning concepts and emerging AI trends (nice-to-have) • Experience building internal automations, tools, or workflows using AI tools or agents (nice-to-have)
• Diverse, equitable, and inclusive workplace • Opportunity to work on high-impact problems at the intersection of fraud prevention, digital trust, and machine learning • Partnership with leading enterprise brands across a wide range of industries • Opportunity to influence product direction, technical strategy, and the presales motion • Team culture valuing technical rigor, customer empathy, and practical execution
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