Top Tech Jobs & Startup Jobs in Montreal

Lead the architecture and development of next-generation AI and automation systems for insurance quoting, customer support, document validation, voicebots, and complex external-system workflows. Set technical standards for chatbot platforms, evaluate emerging AI technologies, deploy production solutions, and partner with OpenAI on voice models and workflow automation. The role requires hands-on experience building reliable LLM systems with evaluations, regression management, latency optimization, cost controls, and failure handling.

Lead development of next-generation AI systems for insurance automation, including document validation, voicebots, computer-use agents, and complex workflow orchestration. Set chatbot architecture and technical standards, build and deploy production automations, evaluate emerging AI technologies, and partner with OpenAI on voice models. Own LLM system reliability, including evaluations, regression prevention, latency, cost, and failure handling.

Lead the architecture and development of next-generation AI systems for insurance automation. Set technical standards for chatbot and LLM systems, build document validation and workflow automations, expand stateful voicebots, evaluate emerging AI technologies, and deploy reliable production systems. Own system architecture, model evaluation, latency, cost, regression prevention, and failure handling while partnering with OpenAI on voice models and workflow automation.

Own Jerry.ai’s end-to-end partnerships motion for new product lines, including building the pipeline, leading carrier and partner negotiations, structuring complex deals, closing agreements, onboarding partners, and ensuring long-term partner success. Contribute market insight to vertical strategy and collaborate cross-functionally with product, engineering, data science, legal, finance, and executive leadership.

Own end-to-end partnerships for Jerry.ai’s new product lines, including pipeline development, partner outreach, deal structuring, negotiation, contract closure, onboarding, and long-term partner success. The role requires building a 0-to-1 partnerships model, closing complex multi-stakeholder agreements, engaging senior external leaders, and informing vertical strategy through close collaboration with product, engineering, data science, legal, finance, and executive teams.

Manage and grow the partner ecosystem by nurturing existing relationships, developing strategic business plans, identifying new collaboration opportunities, negotiating mutually beneficial deals, analyzing performance data, resolving operational issues, and coordinating with product, operations, data, and sales teams to deliver partnership growth.

Own Jerry’s end-to-end partnerships motion for new product lines, including pipeline development, partner outreach, complex deal structuring, negotiation, closing, onboarding, and post-close partner success. Shape vertical strategy through partner insights and collaborate cross-functionally with product, engineering, data science, legal, finance, and executives. Build new partnership categories and navigate lengthy, multi-stakeholder enterprise deals.

Own the analytical function for a business unit across growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; generate insights; make recommendations; and drive decisions through execution. The role requires independently structuring ambiguous problems, using SQL or Python, communicating findings clearly, influencing senior stakeholders, and delivering measurable business impact.

The Business Operations Associate will drive data-informed decisions across growth, product, and business initiatives. Responsibilities include analyzing customer and partner performance, designing and evaluating A/B experiments, identifying profitable acquisition and partnership opportunities, leveraging machine learning models for insights, and automating manual processes to improve operational efficiency. The role partners with marketing, product, and business development teams and communicates findings to stakeholders ranging from frontline employees to executives.

Own end-to-end data science and analytics for a business area such as growth, product, AI and automation, or strategic partnerships. Define business questions and metrics, extract and structure data, conduct analyses and experiments, build reports, communicate insights, and drive data-informed decisions with cross-functional stakeholders. The role requires strong analytical thinking, independent problem ownership, and persuasive communication.