Technical Partner Manager in Canada; Toronto

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Global Partner Engineering and Operations (PE&O) team is part of Stripe’s Global Partnerships organization and is responsible for managing the technical and operational aspects of new and existing product partnerships and programs. Positioned at the intersection of product, engineering, and partnerships, we focus on technical operational execution and optimization with financial ecosystem partners. We drive smooth technical onboarding and implementation with financial partners, we manage the ongoing engagement between Stripe and its partners, and we monitor and optimize stringent quality and performance targets. Our team also drives partner-agnostic programs and initiatives to address broad ecosystem challenges and builds technical solutions and tools that enhance operational efficiency and scalability. What you’ll do We are seeking a knowledgeable and proactive Technical Partner Manager to join our Global Partner Engineering & Operations (PE&O) Network partnerships team at Stripe. In this role, you will be responsible for building and maintaining strong relationships with our partners, facilitating technical integrations and launching new capabilities with new

We are looking for a Lead, Data Development, AI Platform to lead the team building and operating the technical platform behind Hootsuite's Analytics MCP. This includes routing infrastructure, orchestration services, agent infrastructure, and data pipelines that enable reliable AI-driven analysis at scale. You will set technical direction for the team, strengthen engineering practices, and translate target architecture and integration standards into secure, production-grade systems that Data Analytics & AI teams can confidently build on. This is a hands-on technical leadership role. You will stay close to the code while owning delivery outcomes, engineering quality, and the team's culture of craft and accountability. You will develop strong, well-reasoned recommendations on how the platform and orchestration architecture should evolve, seek approval at the Senior Manager and Director level, and then guide the team through disciplined execution. You will also partner closely with AI Context & Integration and AI Data Architecture to ensure the platform, context layer, semantic layer, and downstream agent workflows operate as one coherent system. WHAT YOU’LL DO: Lead the design and delivery of the orchestration layer that connects the Analytics MCP platform across its most complex surfaces, including query execution across schemas and models, federated data access between the data warehouse and external source systems, and multi-step agent workflows for cross-functional business processes. Develop clear technical recommendations for platform and orchestration architecture evolution, align those recommendations with Senior Manager and Director-level direction, and guide the team through disciplined execution within the approved architecture. Own the operational reliability, scalability, quality, and observability standards for core Analytics MCP components, including routing and agent infrastructure. Guide the team to build and operate these systems to prod