Top Tech Jobs & Startup Jobs in Montreal

Leads complex government AI deployments from pre-sale discovery through production adoption, overseeing client relationships, delivery planning, cross-functional execution, change management, and executive communication. Translates agency workflows into technical requirements, manages risks and dependencies, drives measurable outcomes, and converts deployment feedback into product improvements. Builds deployment playbooks, operating cadences, and future delivery teams while supporting renewals and expansions. Requires strong AI/ML and enterprise systems fluency, senior stakeholder leadership, and 30–50% travel.

Own Brain Co.'s sales operations systems, CRM data, forecasting, pipeline reviews, pricing approvals, deal handoffs, dashboards, sales planning, and compensation administration. Partner with sales leadership, finance, and general managers to connect bookings with financial plans, improve sales processes, and support enterprise growth. The role requires Salesforce or HubSpot administration, analytical modeling, deal desk experience, and strong cross-functional communication.

Support the design, development, testing, and deployment of AI-powered applications across front-end, back-end, and data workflows. Collaborate with engineers, researchers, product managers, and operators to translate customer needs into product requirements, integrate AI models, evaluate outputs, improve reliability and usability, and ship production-grade tools for government, healthcare, and industrial customers.

AI/ML engineering intern will help design, build, evaluate, and deploy LLM-powered applications and machine learning systems. Responsibilities include developing data pipelines, working with structured and unstructured data, supporting model training and optimization, preparing systems for production monitoring, and collaborating with engineers, researchers, and product teams. The role offers mentorship and hands-on experience applying AI to healthcare, government, and energy workflows.

Interns build backend services, APIs, distributed systems, platform components, developer tools, and AI/ML infrastructure. Responsibilities span design, implementation, testing, deployment, maintenance, reliability, performance optimization, observability, and collaboration with Product, ML, Infrastructure, and customer-facing teams. The role is intended for undergraduate juniors and seniors graduating by June 2028 and offers mentorship through production-focused engineering work.

Build Brain Co.'s financial-services sales business by creating demand, sourcing and qualifying opportunities, developing value cases, leading complex technology engagements through multimillion-dollar close, and coordinating security, legal, procurement, and delivery handoffs. The role also informs product strategy, develops repeatable sales practices, and manages enterprise relationships across banking, lending, wealth management, and real estate investing.

Own new business and account growth across a portfolio of U.S. states. Build executive relationships, identify agency needs, develop value cases, secure funding, lead complex technology deals through close, and expand customer engagements. The role requires navigating state procurement, budgets, contracts, security approvals, and delivery alignment while building a repeatable public-sector sales motion for AI solutions.

Own the company’s operating cadence, including leadership meetings, business reviews, planning, and goal tracking. Prepare board and investor materials, analyze business performance, and lead strategic projects for the CEO and CFO. Design scalable internal processes, support market and partnership evaluations, and drive cross-functional initiatives to completion. The role requires strong analytical, communication, ownership, discretion, and ambiguity-management skills.

Own end-to-end delivery of applied AI deployments for financial-services clients, from discovery through production and sustained adoption. Lead cross-functional teams, manage priorities and risks, define product requirements, drive organizational change, measure customer value, maintain senior client relationships, and identify account expansion opportunities. Build prototypes, evaluate AI outputs, advise on technical trade-offs, and help develop reusable deployment practices.

Manage IT and workplace operations for the San Francisco office, including AV systems, corporate networks, equipment, vendors, and employee support. Provide hands-on hardware and software troubleshooting, administer Okta access, and manage onboarding and offboarding. Lead office installs, equipment purchasing, and conference-room setup while partnering with infrastructure and security teams. Support compliance activities, new-office launches, and potential growth of an IT support team.