Senior Manager, Global Workforce Planning
Toronto, ONLyft
10+ ans5+ gestionLyft needs a candidate with 10+ years in contact centre workforce management, support operations or operations strategy, including 5+ years leading managers. Strong financial skills, BPO partner management experience and hands-on experience with enterprise WFM tools are required.
WFM tools
Software Engineer, Growth Platforms
Toronto, ONLyft
3+ ansCandidates need 3 to 5 years of software engineering experience shipping backend features, strong skill in a backend language such as Python, Go or Java, and working knowledge of distributed systems, databases, testing and cloud infrastructure.
Git, AWS, GCP
Engineering Manager, Dynamic Pricing
Toronto, ONLyft
5+ ans3+ gestionCandidates need a computer science degree or equivalent experience, at least 5 years of software development and 3 years of people management. They must have a track record of delivering projects in fast-paced settings and strong communication skills.
Decision making, Match people, Coaching, Computer science, Software development, Team leadership
Senior Software Engineer – Mapping & Geospatial Systems
Toronto, ONLyft
5+ ansCandidates need a bachelor's degree in a technical field and 5+ years of backend or data engineering experience with large-scale distributed systems. Strong Spark, Python, SQL and AWS skills, along with Airflow, Kubernetes and Terraform experience, are required.
Spark, Databricks, Kubernetes, Airflow, Kafka, Terraform
Senior Engineering Manager, Rider Loyalty, Partnerships, and Rider Pay
Toronto, ONLyft
3+ ans3+ gestionLyft needs 3+ years managing engineering teams of 20+ people, including managers of managers across iOS, Android and server. Candidates need a strong mobile and server technical background, experience launching consumer products at scale, and a degree or equivalent experience.
Google Analytics, Data engineering, Computer engineering, Computer science
Machine Learning Engineer, Safety and Customer Care AI
Toronto, ONLyft
3+ ansCandidates need 3+ years of applied ML or AI experience and an MS or PhD in a technical field. They need hands-on experience post-training open-source models, building agents with LangGraph or similar frameworks, evaluating generative AI systems, and deploying ML to real-time production, with strong Python and PyTorch skills.
Python, PyTorch, LangGraph