How Notion’s AI Lead Runs a High-Velocity Eng Team with AI
Join Hustle Fund’s Elizabeth Yin in conversation with Shir Yehoshua, Engineering Lead at Notion, for a behind-the-scenes look at how Shir manages her team, structures sprints, and builds a culture of experimentation—using AI at every step.
This is a rare opportunity for founders and technical leaders to learn how one of the most forward-thinking teams in tech is integrating AI into their daily workflows and managing to stay ahead in an ever-changing landscape.
🧠 What to Expect:
How Shir hires: process, what she looks for and how she evaluates technical talent
How she runs her team: from sprint planning to team rituals to day-to-day execution
Live demo: get a peek inside a Notion template Shir actually uses to manage her team
How experiments are prioritized and evaluated: real strategies for moving fast without breaking everything
The impact of AI: what’s changed since adopting AI tools—and where Shir sees engineering teams headed next
Live audience Q&A: Elizabeth will bring your questions directly to Shir during the final portion of the session
Whether you're an early-stage founder, engineering leader, or curious builder, you’ll leave with tactical ideas to level up your team’s execution and adaptability using AI.
🎙️ Featured Speakers:
Elizabeth Yin – General Partner at Hustle Fund, investor in 800+ startups, and a champion for scrappy founders
Shir Yehoshua – Engineering Lead at Notion, where she heads the development of Notion AI. Previously Technical Lead Manager at Waymo, she brings deep experience building intelligent systems at scale
This webinar is held in partnership with Notion.
Startups move fast. That's why thousands of startups all around the world choose to build on Notion. In one place, you can organize, plan, and execute - whether you're managing investor outreach, documenting key decisions, or scaling operations. Apply now to get up to 6 months of Notion’s Business plan with Notion AI included, a $12,000 value. Ship quickly, stay aligned, and scale efficiently in one connected AI workspace.