Hiring Sea

Sift

Posted Nov 4, 2026

Open position

Senior Sales Engineer

Remote - United Kingdom · LondonRemoteFull Time5+ yrs
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About the role

About the role

Sift is looking for an experienced Senior Sales Engineer to help enterprise and mid-market customers evaluate and adopt our Digital Trust platform. In this role, you will partner closely with Enterprise Account Executives to lead the technical side of complex sales cycles, from discovery and solution design through solution presentations, evaluations, and technical validation.

You will work with some of the world’s largest and fastest-growing digital businesses to understand their fraud, risk, and trust challenges, translate those challenges into solution strategies, and show how Sift can deliver measurable business value. You will engage both technical buyers and executive stakeholders , helping prospects move from technical interest to buying confidence.

This is a high-impact role for someone who enjoys combining technical depth , customer-facing communication , and commercial thinking .

About the team

Our Sales Engineering team is made up of creative, technical problem solvers who partner with prospects to understand complex digital trust challenges and design practical, high-value solutions. We work cross-functionally across Sales, Product, Marketing, and Customer teams, and we play an important role in shaping how Sift goes to market.

Senior Sales Engineers at Sift are trusted advisors internally and externally. They bring the voice of the customer into the business, influence product direction through market feedback, and help raise the bar for how we sell, position, and deliver value.

What you'll do

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

In this role, you will:

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

What we're looking for

Must-haves

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

Nice-to-haves

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

Why join Sift

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

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 .

Skills

Machine LearningPython