Top Tech Jobs & Startup Jobs in Toronto

Manage and grow staffing-services client accounts, lead new-client onboarding, generate and qualify business opportunities, support sales handoffs, maintain pipelines, conduct consultative outreach, provide regional engagement leadership, and mentor direct reports. The role requires strong B2B sales, lead-generation, communication, relationship-management, and organizational skills, along with at least five years of account management or sales experience.

Leads strategic sales initiatives for recruitment process outsourcing and staffing services. Builds and manages client relationships, develops regional pipelines, generates and qualifies leads, conducts consultative selling, schedules prospect meetings, closes business, and coordinates opportunities with sales teams. The role also mentors direct reports and drives revenue growth through staffing and infrastructure-focused solutions.

Lead staffing-industry growth initiatives, manage and advise client relationships, oversee regional sales efforts, mentor direct reports, generate and qualify leads, develop business pipelines, and coordinate qualified opportunities through the sales cycle. The role requires strong B2B sales expertise, staffing-services experience, prospecting ability, communication skills, and a proven record of closing deals and building trusted business relationships.

Supports responsible AI governance by developing policies, maintaining control frameworks, conducting AI risk assessments, monitoring regulatory compliance, preparing reports, and advising legal, compliance, security, AI, and business stakeholders. The role also tracks governance metrics, supports audits, researches emerging regulations, and recommends improvements to AI governance programs.

Monitors and improves the performance, reliability, and adoption of AI-powered systems. Analyzes operational metrics, develops dashboards and reports, identifies bottlenecks, supports incident resolution, documents procedures, and recommends process improvements. The role collaborates with AI engineers, product teams, business stakeholders, and operations leaders while supporting governance, compliance, risk mitigation, and continuous improvement initiatives.

Design, develop, deploy, and optimize generative AI applications using LLMs and AI frameworks. Build scalable APIs, integrate foundation models and third-party platforms, automate business workflows, and connect AI solutions to internal systems and data sources. Monitor model quality, improve prompts and configurations, support responsible AI governance and security, evaluate emerging technologies, and collaborate with product, engineering, and business teams.

Designs, implements, and optimizes AI-powered workflow automation solutions. Responsibilities include analyzing business processes, documenting current and future-state workflows, identifying automation opportunities, gathering requirements, integrating automation with business systems, supporting testing and deployment, monitoring performance metrics, troubleshooting issues, training users, and promoting automation best practices and continuous improvement.

Leads global BPO business development and sales strategy to drive revenue growth. Responsibilities include developing sales strategies, managing remote sales teams across regions, securing new BPO and call center clients, building enterprise relationships, collaborating with marketing and operations, analyzing market trends, and representing the company at industry events and client meetings.

Leads the sales organization by developing strategic sales plans, growing revenue and market share, managing and mentoring geographically dispersed teams, building executive client relationships, optimizing sales processes, monitoring KPIs, overseeing budgets, and collaborating cross-functionally to achieve company objectives.

Leads the strategy, roadmap, development, launch, and optimization of AI-powered products. Defines product requirements, priorities, success metrics, and business outcomes while coordinating engineering, AI, executives, and business stakeholders. Evaluates emerging AI technologies, supports responsible AI governance, manages feedback and adoption, and drives continuous product improvement.