Fraud Investigator II

At Rover, pets and their people are at the heart of everything we do. We connect pet parents with trusted pet care across the U.S., Canada, Europe, and Australia.

Headquartered in Seattle and Barcelona, we’re a values driven, fast-growing tech company focused on building safe and personalized experiences tailored to the needs of each unique pet. We’re investing in AI as a business accelerator and provide every team member access to AI tools in service of creating better experiences for our community.

We are proud to be recognized as a great place to work, having been named among the 100 Best Companies to Work For in Seattle Business Magazine and Washington’s Best Workplaces in the Puget Sound Business Journal. At Rover we’re committed to creating an accessible, inclusive, and welcoming community, which starts with our employees.

Want to make an impact? Join our pack and come work (and play!) with us.

Meet the Account Safety Team:

Rover’s Account Safety Team is responsible for protecting Rover's reputation by investigating, mitigating and monitoring fraud trends while protecting our customer and business from fraudulent financial losses. You’ll be investigating potential fraud in high volume queues that train our automated detection and drive scalable proactive detection on our platform.  The output of your work solidifies our Trust and Safety infrastructure and makes our platform safer for pet parents and sitters alike.

Who we're looking for:

You'll succeed in this role if you have a passion for details and spotting trends, thrive in a high tempo team environment, have a passion for protecting folks from fraud, and have a drive for getting the right solutions for both the customer and the company. You must be impartial, show a high degree of autonomy, an

• 1. Prioritizing short-term monetization over long-term user trust and platform safety
• 2. Ignoring the nuanced operational needs of the service provider side of the marketplace
• 3. Failing to back up product or operational hypotheses with behavioral data

I scale two-sided marketplaces by obsessing over trust, safety, and creating effortless loops for both sides of the network.