Top Tech Jobs & Startup Jobs in Montreal

Own AI product backlogs, priorities, user stories, acceptance criteria, and delivery outcomes. Translate business needs into product requirements, collaborate with technical teams on solution design, facilitate stakeholder communication, support Agile delivery, and monitor product performance and adoption. The role also identifies AI-driven improvements, supports product releases, drives continuous improvement, and promotes responsible AI practices.

Leads business development for IT and BPO services by identifying and acquiring new clients, building executive relationships, developing sales strategies, presenting proposals, conducting market and competitor research, and closing high-value accounts. Collaborates with marketing, product, operations, and sales leadership to create positioned solutions and ensure contract-winning, budget-compliant delivery.

Designs, tests, evaluates, and optimizes prompts for large language models and AI applications. Develops reusable prompt templates, conducts experimentation and A/B evaluations, monitors AI performance, and establishes quality standards. Collaborates with AI engineers, product managers, trainers, and business stakeholders to translate requirements into scalable prompting strategies. Researches generative AI advancements, supports model evaluation and tuning, documents best practices, and recommends improvements to response quality, consistency, accuracy, and business relevance.

Leads strategic sales initiatives for recruitment process outsourcing and workforce solutions. Responsibilities include developing business strategies, managing client relationships, generating and qualifying leads, conducting consultative sales, setting appointments, managing the sales pipeline, coordinating opportunities, and mentoring direct reports. The role requires staffing industry experience and a proven record of closing B2B sales.

Leads enterprise prompt engineering strategy, standards, governance, design, testing, evaluation, and optimization. Develops reusable prompt libraries, improves LLM performance, collaborates with technical and business stakeholders, evaluates AI platforms, supports organizational AI initiatives, and mentors prompt engineers and AI specialists. The role requires deep Generative AI and LLM expertise, leadership experience, and the ability to establish scalable AI quality and governance practices.

Supports responsible AI governance by developing frameworks, conducting risk and impact assessments, evaluating fairness and transparency, monitoring regulatory requirements, maintaining compliance documentation, educating stakeholders, and improving AI oversight processes. Collaborates with technical, legal, compliance, risk, and business teams to promote ethical, accountable, and trustworthy AI deployment.

Lead business development strategy, market expansion, regional sales, lead generation, pipeline management, client engagement, proposals, contract negotiations, and market intelligence. Build strategic partnerships, generate revenue, mentor business development teams, and drive growth in B2B and infrastructure sectors.

Manage and optimize infrastructure supporting AI and machine learning systems, including cloud environments, GPU/CPU clusters, model deployment, data pipelines, security, monitoring, troubleshooting, automation, and CI/CD. The role develops scripts, maintains documentation, supports AI teams, and improves system reliability and scalability. Candidates need a relevant bachelor's degree, at least two years of systems administration or infrastructure experience, cloud and containerization expertise, scripting skills, and familiarity with machine learning frameworks and deployment pipelines.

Develops new business by prospecting, building C-suite relationships, presenting customer experience and research services, assessing client needs, creating proposals, and closing complex consultative sales. Collaborates internally on tailored, profitable programs and monitors competitive trends. The role requires 5–7 years of outside sales experience, industry-specific service sales expertise, quota success, strong communication skills, and frequent overnight travel.

Leads BPO sales strategy, enterprise client acquisition, relationship management, solution development, market expansion, and sales team development. Oversees KPIs, budgets, pipeline and revenue performance while collaborating with delivery, operations, and marketing teams. Represents the company at industry events and builds C-suite partnerships. Requires extensive travel and expertise selling complex outsourcing solutions through long sales cycles.