Top Tech Jobs & Startup Jobs

Provide high-quality support to Turo Hosts, Guests, and internal employees by investigating and resolving complex billing, trip, mechanical, claims, and reservation issues. Manage escalations with empathy, sound judgment, and clear communication; collaborate with Operations, Trust & Safety, Claims, and Product; document cases; identify customer feedback trends; and recommend marketplace experience improvements.

Investigate and process auto claims, assist Hosts and Guests with self-resolution, coordinate with third-party administrators, collect amounts due, maintain claim documentation, and improve claims-handling processes. The role emphasizes bilingual English/French customer service, conflict resolution, responsiveness, accurate follow-through, and collaboration in a hybrid Toronto office environment.

Develop machine learning frameworks and risk mitigation strategies for Turo’s marketplace. Build and manage fraud detection product features, improve and monitor risk models, analyze patterns, communicate recommendations, audit third-party data vendors, and guide Engineering on data quality. Collaborate with Data Analytics, Trust & Safety, Product, and Engineering teams to deliver scalable, production-ready models and measurable business impact.

Own Turo’s guest discovery, search, shopping, and booking product strategy. Lead personalization, vehicle and pickup-location discovery, booking-funnel conversion, A/B testing, and AI-driven recommendations and search relevance. Partner with research, analytics, and marketing to understand customer behavior, prioritize product improvements, and extend discovery across acquisition and onboarding experiences.

Own and execute paid and organic top-of-funnel experiments to acquire hosts across Canadian markets. Build roadmaps for creatives, targeting, offers, and landing pages; partner with Creative and media partners; analyze CAC and conversion metrics to optimize supply growth, including bilingual campaigns for Quebec.

Lead quantitative UX research focused on pricing and marketplace dynamics. Design and run large-scale studies (surveys, conjoint, experiments, A/B tests), analyze behavioral data, partner with product, data, and engineering to instrument pipelines, translate findings into strategic narratives, and mentor other researchers while occasionally using qualitative methods.

Lead and grow a product team to build dynamic pricing recommendations, risk-based fees, and host pricing interfaces. Define multi-year roadmap, partner with Data Science and Engineering to develop ML-driven pricing, synthesize market research and data, hire and mentor PMs, and drive product strategy to increase growth and profitability across markets.