Sift Science

About Sift Science

---------- About Sift ---------- In 2011, Sift disrupted the fraud prevention industry with a first-of-its-kind machine learning approach that accurately predicted fraud and defended against online abuse in real time. Sift receives billions of events per month and analyzes vast streams of data in real time. Our platform hosts a powerful machine learning engine that allows us to detect and prevent fraud by analyzing nuanced combinations of signals buried in historic and real-time data. Our approach combines speed, scale, and sophistication to deliver a unique, adaptive solution that allows our customers to accurately distinguish between the users they can trust, and those they can't. Savvy businesses use this knowledge to focus on improving the experiences for trusted users, while keeping fraudsters at bay. -------------- About the Team -------------- The Sales Engineering team is comprised of creative, technical problem solvers who partner with prospects to understand their Digital Trust challenges, architect solutions, and onboard them to the Sift platform, driving tangible business value to online business across all major industries and the globe. Sales Engineers are subject matter experts that know all of the products and technologies inside Sift. We deliver immediate impact for prospects, while paving the way for future customers by working closely with product managers to stay ahead of the market and move toward emerging digital fraud trends. We're looking for our first EMEA Sales Engineer to lead the development of our technical sales motion in the region. You'll work closely with regional and global leadership to define how we position, implement, and drive value for the Sift product suite, building efficient, effective, and scalable processes. --------------------------- What you'll do: --------------------------- Establish the EMEA Region: become a key partner to our new Dublin sales team and help them hit their revenue goals, offering strategic advisement on maximizing value for prospects. Evangelize the Sift technology: build relationships with a prospect's technical teams, leading EMEA's top brands with intricate regulatory and data requirements to understand the value of Sift. Simplify complex businesses: work with all of Sift's EMEA pipeline, across multiple verticals, to identify critical fraud and abuse risks, unlocking opportunities through bespoke product integrations. Enable the organization: develop internal knowledge, tooling, and process to eliminate friction and standardize Sift's EMEA go-to-market motion, making our sales cycle more efficient. Influence the product road map: analyze market feedback from the EMEA region to lead Sift towards product-market-fit, informing where functionality and partnerships should be developed. ----------------------------------- What we're looking for: ----------------------------------- We're looking for experienced Sales Engineers to come aboard and establish our EMEA go-to-market function. Passionate about technical sales and working with customers, ideally, you are ambitious and self-motivated, and have experience with SaaS-based analytics or data management platforms. Other qualifications we are looking for include: 3+ years experience working as a Sales Engineer in a technical sales cycle A strong technical background, preferred in fields such as Computer Science, Engineering, Mathematics, Physics, or similar fields. Outstanding customer-facing communication skills, including the ability to communicate complex technical and business concepts to both developers and non-developers. A strong work ethic and commitment to excellence. Being creative, collaborative, goal-oriented, thoughtful, and resourceful. A bias for action. Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision. Ability to work effectively in teams of technical and non-technical individuals across multiple concurrent projects. Proficiency with programming languages such as Python, Java, Ruby, or similar languages, and familiarity with API-based SaaS products. Experience with web servers and common databases used in today's application architectures. Able to read and write SQL. A desire to learn about ML fundamentals and stay on top of the latest trends in applied AI. ------------------ A little about us: ------------------ Sift is the leading innovator in Digital Trust & Safety. Hundreds of disruptive, forward-thinking companies like Airbnb, Zillow, and Twitter trust Sift to deliver outstanding customer experience while preventing fraud and abuse. The Sift engine powers Digital Trust & Safety by helping companies stop fraud before it happens. But it's not just another anti-fraud platform: Sift enables businesses to tailor experiences to each customer according to the risk they pose. That means fraudsters experience friction, but honest users do not. By drawing on insights from our global network of customers, Sift allows businesses to scale, win, and thrive in the digital era. Sift is an equal opportunity employer. We make better decisions as a business when we can harness diversity in thought, experience, data, and background. Sift is working toward building a team that represents the worldwide customers that we serve, inclusive of people from all walks of life who can bring their full selves to work every day, so we can Win as One Team.

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Legal Form: Ltd

Company Type: Private

Company Size: 51 - 250

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