Top Tech Jobs & Startup Jobs in Montreal

Build and maintain technical security and compliance controls across SOC 2, ISO 27001, HIPAA, and enterprise frameworks. Automate evidence collection, access reviews, security checks, and compliance workflows; support audits; address security questionnaires; monitor controls for access, infrastructure, data protection, logging, and vulnerabilities; and improve scalable compliance systems.

The SEO Strategist will lead organic growth strategy and execution, leveraging AI to optimize SEO, build content systems, and partner with product teams for growth.

Build and launch voice AI solutions for enterprise customers, writing production code and integrating CRMs, ERPs, scheduling tools, and other systems. Spend about half the time working directly with customers to understand needs, solve technical problems, and move projects into production. Partner with sales on demos and prototypes, become an expert in voice AI agents, and translate customer feedback into product and engineering improvements.

Work directly with enterprise customers to design, build, and deploy production voice AI applications. Integrate Retell APIs/SDKs, develop conversational workflows, debug telephony/SIP and infrastructure issues, optimize AI behavior and prompts, lead technical onboarding, and drive product improvements from proof-of-concept to production.

The Design Engineer will build and maintain the design system, prototype in React and TypeScript, and ensure design accuracy in product components. They will collaborate with product designers and engineers to enhance product quality using AI tools.

As a Senior Backend Engineer, you'll design scalable backend systems, build foundational architecture, and manage complex projects within a voice AI-driven platform.

As a Senior Full-Stack Engineer at Retell AI, you'll develop scalable systems and intuitive interfaces, bridging backend integrations with frontend experiences, focusing on voice automation solutions.

As a Senior Forward Deployed Engineer, you'll deliver voice AI solutions to enterprise clients, bridging technical and non-technical teams while driving project delivery and adoption.

Lead customer deployments of voice AI agents from discovery through production launch. Responsibilities include understanding customer workflows, translating requirements into AI workflows, configuring agents and automation, integrating APIs and business systems, troubleshooting technical issues, running demos and working sessions, coordinating with Sales, Product, Engineering, and Customer Success, tracking project risks, and optimizing deployments. The role also develops repeatable implementation playbooks and identifies expansion opportunities.

Leads strategic customer engagements from discovery through production deployment and expansion of AI voice solutions. Partners with executives to identify automation opportunities, build ROI cases, design workflows, and develop execution plans. Coordinates Sales, Product, Engineering, and Customer Success teams, advises customer stakeholders, drives complex initiatives, and translates successful deployments into repeatable playbooks and product insights.