Top Tech Jobs & Startup Jobs in Toronto

The Recruiting Coordinator will own complex interview logistics, deliver a high-touch candidate experience, coordinate closely with founders and executives, and build scalable talent operations. Responsibilities include managing ATS workflows, scheduling automation, candidate communications, pipeline analytics, data integrity, and rapid problem-solving across recruiting processes. The role is based in-office in San Francisco and supports hiring AI researchers, software engineers, and business leaders.

Build and operate low-latency, reliable platform infrastructure for AI model evaluation, including APIs, AI gateways, streaming systems, serving layers, observability, authentication, rate limiting, usage metering, and audit logging. Integrate multiple LLM providers, handle failures and response normalization, support enterprise requirements, and contribute across backend evaluation and leaderboard platforms. This hands-on role requires strong Go expertise and experience with distributed systems or developer-facing infrastructure.

Own full-stack product features from technical scoping through deployment and post-launch iteration. Design schemas, APIs, and business logic; build user-facing applications across frontend, backend, and databases; collaborate with ML researchers, product, design, and engineering; incorporate user feedback; and improve development, testing, and deployment practices.

Partners with AI labs to integrate models, run evaluations, deliver results, and manage customer relationships. Builds pragmatic full-stack solutions, automations, onboarding workflows, and delivery tooling for cutting-edge AI teams. Translates customer and research feedback into product and engineering initiatives, supports strategic account growth, and serves as a technical point of contact across onboarding, releases, and issue resolution.

Design and develop scalable, high-performance data and API infrastructure for real-time processing. Mentor engineers and collaborate with teams to enhance AI model evaluations.

Responsible for designing experiments to evaluate AI models, developing evaluation methodologies, analyzing performance data, and collaborating on production insights.

The role involves designing and building data pipelines for analyzing user feedback on AI models, ensuring data quality and infrastructure scalability.

Own and develop Arena’s public web surfaces, including the blog, marketing pages, and leaderboard UI. Build with Next.js, React, TypeScript, Sanity CMS, and the company design system. Improve performance, accessibility, SEO, structured data, internationalization, and data visualization. Create CMS models and publishing tools that enable marketing teams to ship independently while collaborating closely with designers, marketers, and engineers.

The Product Solutions Engineer will integrate AI models with clients, deliver evaluations, improve processes, and collaborate on product development.

The Technical Recruiter will manage full-cycle recruiting, partner with hiring managers, and promote inclusive hiring practices while maintaining a strong candidate experience.