Top Tech Jobs & Startup Jobs in Toronto

The Legal Solutions Architect will act as a legal expert in product strategy, aid in sales processes, develop training materials, and enhance product features based on user feedback.

The Account Executive will manage the entire sales cycle, qualify leads, demonstrate product value, and cultivate client relationships while maintaining CRM data.

The Forward Deployed Engineer integrates Spellbook into legal workflows, managing enterprise deployments, building AI-native solutions, and enhancing user experience based on feedback.

Design, architect, and implement new features for the Spellbook application while collaborating with product management and improving existing functionalities using AI technologies.

Lead Spellbook's product function: set product vision, manage and grow a PM team, own roadmap and execution, coordinate launches with GTM, synthesize customer insights, define metrics, and partner with CEO on strategy and fundraising materials.

As a Backend/AI Systems Engineer, you will develop backend systems for AI workflows and enhance core functionalities for Spellbook's legal software. You'll tackle complex problems, ensure system reliability, and collaborate with product teams, while maintaining a hands-on ownership approach.

The Senior Data Engineer will lead the design and development of scalable data infrastructure for analytics and AI capabilities, ensuring compliant data processing systems and improving the data platform.

Own product strategy and roadmap for enterprise customers; build enterprise-grade features (admin controls, permissions, data residency, integrations); partner with engineering, sales, and customer success to support complex deals, onboarding, and expansion; define enterprise metrics and manage feedback loops, FDE engagements, and beta programs to drive adoption and retention.

Lead Growth product strategy and roadmap across acquisition, activation, monetization, and retention. Run and analyze A/B and multivariate experiments, collaborate with engineering/design/marketing/sales, optimize onboarding, upsell and referral flows, and own growth metrics (signups, activation, trial-to-paid, time-to-value, NRR). Build an experimentation pipeline and report progress to leadership.

Own and scale enterprise demand-generation programs that drive pipeline and revenue. Build ABM and multi-channel campaigns (email, paid, events, content, outbound), partner with Sales to convert activity into meetings and closed deals, run experiments, improve marketing automation and operations, and define scalable demand-gen processes.