Top Tech Jobs & Startup Jobs in Toronto
The Senior Product Manager for Pricing Optimization at Lyft will lead the development of pricing strategies to improve user experience and contribute to the growth of the Lyft network. Responsibilities include aligning on business goals, defining strategies, owning product development, and leading cross-functional teams. The ideal candidate should have a deep technical understanding of microeconomics, experience in product management, and strong communication skills.
Strategic and experienced Senior Talent Sourcer needed to grow Lyft's technical team, focusing on niche pipelines like adtech and data science. Responsibilities include proactive market research, sourcing strategies, diverse talent engagement, and seamless recruiting processes. The role requires 5+ years of talent acquisition experience with a strong track record in technical recruiting for tech startups. Benefits include health coverage, mental health benefits, paid time off, parental leave, and a commitment to diversity and equal employment opportunities.
The Fraud and Risk Analyst at Lyft is responsible for developing and implementing fraud detection strategies, collaborating with cross-functional teams, resolving fraud issues, and enhancing fraud detection and mitigation processes.
As an Engineering Manager for Rider Quality at Lyft, you will set the technical vision for quality, build and lead a team of engineers specialized in Test Automation and Machine Learning, collaborate with cross-functional teams, and ensure a high-quality Lyft app.
Lyft is seeking an Integrated Marketing Manager to lead cross-functional teams in developing and executing diverse marketing campaigns, managing creative development, overseeing daily operations and budgets, and driving performance reporting to innovate Lyft's marketing strategy.
Lyft is seeking a Senior Manager, Brand Strategy to lead high-priority integrated marketing efforts, partner with cross-functional teams, and amplify the Lyft brand through data-driven strategies and cultural insights. The ideal candidate will have 7+ years of brand marketing experience with leadership experience and a focus on brand integration with product experiences.
As a Senior Data Engineer at Lyft, you will be responsible for scaling up data processing flow, evolving data models, ensuring data quality and consistency, developing self-service data pipeline management tools, and improving data processing performance. You will work with a passionate team using technologies such as Spark, Hadoop, AWS, Kubernetes, and Apache Airflow.
The iOS Engineer at Lyft will be responsible for building great UX for millions of users, collaborating with multiple teams, and solving challenging real-time data transfer problems. The role requires 1+ years of experience as an iOS developer, proficiency in Swift and reactive programming, and strong communication skills.
Backend Engineer on the Scheduled Rides or Events team at Lyft, responsible for building new products to enhance riders' and drivers' experience with rideshare. Collaborate with cross-functional teams to deliver business-critical initiatives and new use cases.
Join Lyft as a Data Engineer to develop robust data infrastructure, design insurance data pipelines, and collaborate with internal and external teams for informed decision-making. Leverage data expertise to refine models and drive innovation.
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