Product Manager Fraud Risk - Remote from Asia

What you bring • Experience working as a PM in a high-growth company • Financial or Fintech background, ideally in managing fraud and/or risk • Great judgment making both strategic (what to prioritize) and tactical (feature scope) decisions • Driven demonstrable results by moving a product in the right direction • A strong sense of design and UX • A passion for products that just work, even if the problems they solve are boring and complicated • Outstanding communication and collaboration skills • Business-level proficiency writing and speaking English. • Bonus: experience working remotely Key responsibilities • Build solutions together with the rest of the team that solve for fraud & risk monitoring services at Remote • Own not just software implementation, but the end-to-end experience: Remote delivers value through services powered by both humans and software • Lead on complex solutions without requiring support or involvement from senior members of the product team • Effectively manage internal expectations for complex projects, products, and features while navigating challenging prioritization decisions • Drive Remote in the right direction by building an effective roadmap and strategy for your area of the product in fraud & risk • Break down strategic plans into near and mid-term goals that's easy for others to understand • Align your product roadmap with higher level department and company problems we’re working to solve • Ship improvements quickly and iteratively, challenging yourself and counterparts to find minimal solutions to problems • Support and leads a product team delivering high throughput and high return on investment • Advance key KPIs related to product team goals • Work together with engineers and designers to build intricate solutions to complex problems • Communicate and collaborate internally and externally • Communicate and evangelize the product, roadmap, and process changes inside and outside of Remote • Lead by example on asynchronous workflows and transparency