Currently tracking 3 active AI roles, with 51 new openings in the last 4 weeks. Primary focus: Serve · Engineering.
Lime currently has five active job listings related to artificial intelligence. The majority of these roles, 40%, are focused on application and serving infrastructure. Engineering is the primary function for these positions, with hiring occurring in Canada and the United States. Frequent technology tags include model_serving, vision, and inference_infra, suggesting a focus on deploying and optimizing AI models. In the last 30 days, Lime has posted two new AI roles, a decrease from the previous 30-day period.
Lime currently has 3 active AI-related roles in our index. The most common open titles are: Engineering Manager, Lime Vision (2), Staff Machine Learning Engineer, Supply. Most positions are in Engineering.
Lime's active AI hiring is concentrated in: application (67%), agents (33%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Lime is hiring AI talent in: Canada (2 roles), United States (1 role).
Job postings at Lime most frequently mention: System Design, ML Ops, Python, Machine Learning, Reliability Engineering.
In the past 30 days, Lime has posted 0 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Lead Product Manager, Payments & Trust Lead Product Manager for Payments & Trust at Lime, focusing on driving the evolution of global payments experience and fraud strategy. The role involves shaping product vision, defining strategy, and partnering with Engineering, Data Science, and cross-functional teams to deliver seamless, secure, and scalable transactions while protecting against fraud and revenue loss. This role is for someone who thrives at the intersection of consumer experience, financial systems, fraud prevention, and data-driven decision making. | — | 5 |
| Operations Associate Lime is seeking an Operations Associate in Edmonton to enhance fleet operations, manage warehouse and field teams, and understand local rider needs. The role involves hiring and training staff, building an efficient warehouse, defining processes, monitoring KPIs, handling customer incidents, and managing regulatory issues. Collaboration with Engineering and Product teams for revenue growth is also part of the responsibilities. The ideal candidate has 1-3 years of professional experience, preferably in operations, with leadership experience and knowledge of the Edmonton region. Strong decision-making, data analysis skills (Excel, Google Sheets, bonus Tableau/SQL), and communication skills are required. A valid Alberta driver's license is necessary. |
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