Building reliable and proactive agentic systems at scale: how Shopify’s reflexive AI culture was instrumental in their development of Sidekick w/ Andrew McNamara #258

Episode notes

Andrew McNamara, Director of Applied Machine Learning @ Shopify, joins the ELC podcast to share insights on building agentic platforms at scale, like Sidekick, that must keep reliability for its users at the forefront. Andrew describes the building philosophy behind Shopify and what it means to cultivate a culture of prototype-first while prioritizing hiring early-stage talent. We cover Sidekick’s development journey and how user feedback impacted its product vision, why evaluation is so important for determining ground truth sets, and the benefit of user-driven use cases. Andrew also dissects how they went about making product design decisions, such as building proactive agents and identifying subagent specializations. ABOUT ANDREW MCNAMARA Andrew McNamara is Director of Applied Machine Learning at Shopify, where he leads the team behind Shopify Sidekick, an AI co-founder that gives merchants access to the e-commerce expertise they need to run and grow their business.

• The Product Paradigm Shift: How Livekit Navigated High Stakes Scaling Challenges to Build the Future of Voice-First AI Interfaces w/ Russ d’Sa #26276 / 100
• Building an empowered career w/ Jean Hsu & Cate Huston #26163 / 100
• Redefining profit, centering human flourishing, and building an incorruptible mission-driven roadmap w/ Eric Ries #26075 / 100
• Affirm’s AI-native transformation & how it’s driving operational excellence w/ Geddes Munson #259
• How the R&D Org at Twilio Drives Business Strategy and Transformation w/ Inbal Shani #257