Top Tech Jobs & Startup Jobs in Toronto

Manage full enterprise sales cycle for LexisNexis Legal & Professional: prospect, build relationships with senior decision-makers, identify client challenges, present consultative solutions, close complex deals with law firms and corporate accounts, collaborate cross-functionally, and meet monthly/quarterly/annual sales targets and KPIs.

Support development and execution of go-to-market strategy initiatives by analyzing market research, tracking opportunities in Salesforce, leading cross-functional projects, and delivering data-driven recommendations using Excel, Tableau, and AI tools. Build stakeholder relationships and manage implementation plans and timelines to drive growth and profitability.

Use legal training to create and evaluate AI training data: perform legal research and analysis, provide annotation and feedback, support senior team members, communicate insights, participate in stakeholder presentations, and advocate for Responsible AI.

Enterprise sales role selling CounselLink+ ELM to corporate legal and legal operations in Canada. Build territory plan, manage complex consultative sales cycles, demonstrate ROI, create proposals, track pipeline in Salesforce, and represent product at events. Requires strong negotiation, presentation, and organizational skills with significant travel (30–50%).

Partner with large law firms to drive retention, expansion, and cross-sell through consultative, insight-driven engagements. Build executive relationships, design multi-product commercial solutions, demonstrate ROI, meet revenue and pipeline targets, and promote adoption of AI-driven legal solutions within complex firm environments.

Create, review, and maintain practical legal content (practice notes, checklists, precedents) for Canadian Capital Markets and Public M&A. Monitor legal developments, manage practitioner relationships, inform content strategy, collaborate cross-functionally on product development, and support sales and training activities.

Leads the UK&I Data Engineering team, setting technical strategy and overseeing delivery of data products, ingestion pipelines, reporting solutions, and customer-facing capabilities. Drives Azure and Databricks cloud modernization, data governance, security, privacy, compliance, and AI adoption. Responsibilities include team leadership, talent development, workforce planning, cross-functional stakeholder management, and collaboration with global engineering, product, analytics, architecture, and operations teams.

Develop and onboard strategic partners, build partnership pipelines, generate new business opportunities, and support partner-led revenue growth. The role involves stakeholder relationship management, partner enablement, forecasting, reporting, industry events, and collaboration across internal teams. Success is measured by new partner acquisition, pipeline creation, revenue generation, onboarding, engagement, and achievement of business objectives.