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sift

sift - Senior Sales Engineer

Remote - UK+ Equity2d ago
RemoteSeniorEMEAPaymentsArtificial IntelligenceSales EngineerAccount ExecutiveProspectingPython

Requirements

• 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, with the ability to explain complex technical and business concepts to both 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 • Experience running POVs, pilots, or technical evaluations for AI/ML-driven products • Familiarity with applied machine learning concepts and an interest in emerging AI trends • Experience building internal automations, tools, or workflows using AI tools or agents • YOU MAY BE A STRONG FIT IF YOU ARE • Consultative in how you engage customers whilst still being a natural seller at heart, commercially driven, motivated by winning deals and comfortable owning the outcome with the Account Executive, not just the technical evaluation • Comfortable moving between technical depth and executive value conversations • Curious, collaborative, and resourceful in ambiguous situations • Motivated by helping customers solve meaningful, high-stakes problems • Energized by building, not just supporting, a strong go-to-market motion

Responsibilities

• Partner with Enterprise Account Executives to drive complex technical sales cycles with strategic accounts • Lead technical discovery and workshops to understand a prospect’s architecture, workflows, fraud challenges, and business goals • Design and deliver compelling solution presentations and solution narratives tailored to both technical and business audiences • Guide prospects through technical validation, integrations, and proof of value engagements • Translate complex product capabilities into clear customer outcomes and measurable business value • Build credibility with engineers, fraud leaders, operations teams, and executive stakeholders • Surface market feedback and customer requirements to help influence Sift’s product roadmap • Improve internal tooling, knowledge sharing, and repeatable presales processes that make the broader go-to-market team more effective • WHAT SUCCESS LOOKS LIKE • Earn trust quickly with both technical teams and executive buyers • Turn ambiguous customer problems into clear technical solution strategies • Help prospects move faster through evaluation by making Sift easy to understand, validate, and buy • Raise the quality and consistency of technical selling across the team • Bring actionable market insight back into the business to improve product and positioning

Benefits

• Work on high-impact problems at the intersection of fraud prevention, digital trust, and machine learning • Partner with leading enterprise brands across a wide range of industries • Influence not just deals, but also product direction, technical strategy, and how Sift scales its presales motion • Join a team that values technical rigor, customer empathy, and practical execution • 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

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