Top Tech Jobs & Startup Jobs in Montreal

Manage and grow staffing-services client accounts, lead new-client onboarding, generate and qualify business opportunities, nurture sales pipelines, support lead transfers, and provide consultative outreach. The role also includes regional client-engagement leadership, team mentorship, performance management, and market intelligence focused on infrastructure-related services.

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.

Leads the architecture, development, optimization, deployment, and lifecycle management of enterprise machine learning systems. Establishes AI engineering standards, MLOps practices, data quality processes, model governance, security, and validation frameworks. Provides technical leadership, mentors engineers, evaluates emerging technologies, and supports AI transformation initiatives while partnering with data scientists, engineering, product, and business teams.

Develop, optimize, test, and maintain prompts for conversational AI, automation, and business applications. Evaluate AI outputs, conduct prompt experiments, improve response quality, maintain prompt libraries, document standards, and support governance. Collaborate with AI engineers, trainers, product teams, and business stakeholders to translate requirements into prompting strategies and support Generative AI implementations. Research emerging techniques, evaluate tools, and recommend improvements to AI quality and effectiveness.