At Signifyd we’re creating a new market. We’re constantly improving and expanding the technology that has changed what fraud protection for ecommerce looks like. So we don’t have time for office politics. We understand that different people have different work styles and we thrive on variety while learning from each other. We’re all Signifyers, so we know that what needs to get done will get done.
Signifyd is a place where no one is going to tell you how to do your job. If you want help, you'll get it — from all quarters. But we pretty much figure out what needs to be done, who's in the best position to do it and then let that person roll-up her or his sleeves and have at it. We're protecting retailers from online fraud in a way that's never been done before and we could use your help if you're someone:
- Who believes challenges are best overcome by thinking differently.
- Who knows his or her role, but isn’t confined by it.
- Whose greatest satisfaction comes from helping customers succeed and achieve their dreams.
- Who isn’t afraid to disagree, convincingly, civilly and honestly.
Oh, and a few particulars for this role:
Signifyd is looking for Sales Account Executives (AEs) who are looking to grow their career in the fast-growing e-commerce security space. You'll be responsible for net new growth within key SMB, mid-market, and enterprise segments, selling to some of the world’s most respected and admired brands.
Account Executives are responsible for identifying and closing new business in each of Signifyd’s target industries. While many of the organizations in this space are familiar with traditional anti-fraud tools, AEs at Signifyd will serve as a consultative partner to merchants, assisting and educating them on the benefit of SaaS platforms and the significance of turning the fraud center of an organization from a loss prevention group to a business enablement group .
The ideal candidate has 4+ years of account management or solution selling of software services into Mid Market or Commercial segments at scale. Knowledge of retail, e-commerce, or payments solutions is a plus but not required.
At Signifyd, we’re very good at proving that people are who they say they are.
We do this by using Big Data and sophisticated Machine Learning to link a consumer’s online behavior to their offline identity. For example, we can match social data (like Facebook, LinkedIn and Twitter), device data, and online behavior with information provided in an online purchase to provide context to a customer’s identity. You now have a complete unified profile of your customer, not just pieces of transactional data.
The most common applications of this are fraud reduction (to limit chargebacks), accepting more online orders (to confidently sell more product), and streamlining investigation time of risky orders (to increase operational efficiency).
Base + Commission
Commission: Variable based on performance with accelerators for overachievement
Ongoing contests & rewards programs
Ongoing training & development opportunities
Fun & fast-paced environment