Top Tech Jobs & Startup Jobs in Toronto

The Product Marketing Manager at Cohere will create and execute marketing strategies for AI products, focusing on product adoption and competitive differentiation while collaborating with cross-functional teams.

As a Software Engineer in Data Infrastructure, you will build and maintain high-performance data storage systems for AI training, collaborate with experts, and optimize data processing.

The Technical Program Manager will coordinate releases, manage dependencies, ensure effective communication with stakeholders, and establish release processes for multiple AI product teams.

Senior People Business Partner advising GTM leaders on org design, leadership effectiveness, talent strategy, succession planning, and organizational health. Support team effectiveness, onboarding, retention, and People function scaling in a fast-growing, globally distributed AI company while mentoring and coaching PBPs and executing both strategy and hands-on programs.

As Manager of Technical Staff, you'll lead a team to develop scalable AI models, stay updated on LLM research, and foster innovation.

The Technical Revenue Manager will oversee revenue recognition processes, analyze complex transactions, and design systems in a growing AI company, collaborating with various teams.

The Senior Revenue Accountant will handle contract analysis, revenue recognition, month-end close activities, balance sheet reconciliations, and support audits, collaborating cross-functionally.

As a Data Annotation Specialist, you'll label, audit, and correct machine learning data while ensuring high accuracy in Japanese. You'll also evaluate responses and recommend optimizations based on project guidelines.

Drive Cohere's AWS-sourced and AWS-influenced partner pipeline. Define and execute partner GTM for the Enterprise Market; recruit, onboard, enable and certify partners; lead co-selling, joint pipeline generation, business planning and QBRs; relay partner feedback to product and policy teams and evangelize Cohere at events.

Label, rank, audit, and refine human- and model-generated text to improve LLM safety and policy alignment. Apply nuanced safety guidelines, create adversarial prompts and test cases, identify annotation inconsistencies, and provide feedback. Work independently in a remote, asynchronous team, handling potentially explicit or disturbing content with high attention to detail and consistency.