Cemre Güngor has helped shape how billions interact with technology, from Facebook and Instagram's global sharing experiences to Figma's AI-powered workflows, and now reimagining the browser at The Browser Company with Dia. In this conversation, we break down: - Product Craft in the AI Era - Why starting with the end in mind matters more than ever when prototyping is democratized - The difference between durable AI features and "demo candy" - How to evaluate prototypes without clear problem definition - Scaling Products Across Surfaces - What changes (and what doesn't) when building for social platforms vs creative tools vs AI-native workflows - Why product managers get too attached to their existing mental models - The hidden costs of ignoring new interaction paradigms - Real AI Workflows at The Browser Company - Practical examples: automated communication audits, personality type predictions, and workflow optimization - Why meeting transcripts are the most underutilized data source in remote work Jira Product Discovery is the home for all your product ideas, customer feedback, and bets, so you can prioritize what actually matters and share living roadmaps with your stakeholders. Turn scattered requests and spreadsheets into a single, shared source of truth that connects directly to delivery in Jira. Get it free at https://www.atlassian.com/software/jira/product-discovery Chapters 01:31 Welcome back to Product in Practice 03:21 Starting with the end in mind and focusing on problems 05:36 Product management behavior that stopped working, moving from Instagram to Figma 08:30 Shift from metric-driven to judgment-based product management 09:18 Cemre's background with AI at Figma 10:50 Learning by doing and shipping quickly 14:39 How LLM-based features change product development 16:59 The Browser Company's focus on design and intentionality 19:10 The single most important test for an AI feature: internal usage 22:20 How evolving AI models (reasoning models) impact product roadmaps 23:03 The Bitter Lesson: When to wait for model improvements 25:09 Why agentic workflows (like computer use models) are not a priority yet 26:12 The necessity of shipping first to learn what good looks like for general-purpose AI assistants 29:22 The browser's responsibility in an AI world: holding all your context 32:47 The key value of an AI browser: bringing in your context 34:33 Advice for PMs: Do the boring thing with AI 37:06 Demo: Simulating your manager's perspective (the "Josh skill") 42:18 Demo: Revising a document with real meeting feedback/transcript 47:00 Demo: Daily priority recommendations based on all context (Memory, Calendar, Slack) 51:09 How AI tools have transformed productivity and PM workflows 53:54 Demo: Coaching and feedback on communication style from all channels 54:41 The advantage of browser-level integrations like Dia's Referenced Arc Search (mobile app): https://arc.net/search Arc (browser): https://arc.net/ Gemini (model): https://gemini.google.com and https://ai.google.dev/gemini-api/docs/models Cursor: https://cursor.com/ Claude Code: https://claude.com/product/claude-code GPT Codex: https://openai.com/codex/ Granola (note-taking tool mentioned): https://www.granola.ai/ Four Thousand Weeks: https://www.goodreads.com/book/show/54785515-four-thousand-weeks About Atlassian: Behind every great human achievement, there is a team. From medicine and space travel to disaster response and pizza deliveries, we help teams all over the planet advance humanity through the power of software. Our mission is to help unleash the potential of every team. Connect with Atlassian: Subscribe: https://www.youtube.com/@Atlassian Follow Atlassian on LinkedIn: https://www.linkedin.com/company/atlassian Follow Atlassian on Instagram: https://instagram.com/atlassian Follow Atlassian on X: https://twitter.com/atlassian Follow Atlassian on Facebook: https://facebook.com/atlassian

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