CookUnity

Toronto
227 Total Employees
Year Founded: 2015

Jobs at CookUnity

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Recently posted jobs

2 Days AgoSaved
In-Office
Toronto, ON, CAN
Food
Lead product strategy and execution for health and wellness brand partnerships. Translate commercial agreements into scalable integrations and partner-facing product experiences, own go-to-market and launch playbooks, manage partner relationships, run experiments and KPIs, and build integration infrastructure and measurement frameworks to drive partner-sourced acquisition, activation, and retention.
2 Days AgoSaved
In-Office or Remote
Toronto, ON, CAN
Food
The Senior Analyst, Growth Analytics (CRM) will own CRM analytics strategy, build measurement frameworks, analyze experiments, track performance, and present insights to leadership to optimize customer retention and lifetime value.
6 Days AgoSaved
In-Office
Toronto, ON, CAN
Food
The Sr. Product Manager, Growth will optimize acquisition funnels, manage product roadmaps, analyze user behaviors and drive measurable product-led strategies to enhance conversion rates.
6 Days AgoSaved
In-Office
Toronto, ON, CAN
Food
Embed with cross-functional teams to map high-value workflows, design agentic or deterministic automated solutions, build production-ready tools, and run them with monitoring, evals, and continuous improvement. Balance stakeholder discovery, systems integration, full-stack development, and operational ownership to increase throughput and reduce cost.
21 Days AgoSaved
In-Office
Toronto, ON, CAN
Food
The Dishwasher will maintain a clean kitchen environment by washing dishes and utensils, operating cleaning equipment, and following safety guidelines.
22 Days AgoSaved
In-Office
Toronto, ON, CAN
Food
CookUnity is hiring for hourly roles including Fulfillment Team Member, Warehouse Team Member, Maintenance Team Member, and Steward to support meal delivery and operations. Bilingual English/Spanish is a plus.
24 Days AgoSaved
In-Office
Toronto, ON, CAN
Food
Lead and scale a product-focused data science organization to build production ML systems for personalization, recommendation, experimentation, and causal inference. Define strategy, partner with Product and Engineering, own end-to-end ML lifecycle, mentor the team, and measure product impact through robust analytics and monitoring.