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Strategy & Innovation

How We Stopped Gaslighting Each Other and Built AI Products That Actually Work

with Ariel Shulman & Yanay Sela

Friday 10 July 13:00 – 13:30 Mainstage

About This Session

This is not another kumbaya keynote. This is a raw, hilarious, high-speed collision between the two teams that are either building the future of AI - or quietly sabotaging each other with Slack messages and passive-aggressive Notion comments. Join Yanay (CMO) and Ariel (CPO) from Bright Data - the company quietly powering half the AI internet with the largest web data infrastructure on the planet - for an unfiltered, tag-team keynote about what *really* happens when product and marketing are forced to co-parent AI products at scale. What makes this talk different (and way more fun): - Two execs on stage, roasting each other in real-time as they unpack what it takes to ship AI + data products that actually scale, make money, and do not burn your engineering team to the ground. - Live reenactments of our biggest launch fails (including “The Feature That Marketing Launched Before It Existed” and “The Dashboard That Needed a Decoder Ring”). - The secret playbook we built out of desperation, including rituals, documents, and inside jokes that now hold our GTM motion together like duct tape. - Audience interactive bits: real-time polls, “who messed up here” scenarios, and “which team said this?” call-outs. - Actual actionable takeaways: from alignment frameworks that do not suck, to how we de-risk GTM for technical AI products, to how we turn product telemetry into marketing gold (and vice versa). Who it is for: PMs and engineers who are done pretending this relationship is easy - and want to steal hard-earned lessons from a team that already fought the war and lived to meme about it. Tone: Imagine if HBO made a series about B2B product launches. It is fast, funny, painful, and very real. Also, we promise to swear *only when necessary* and keep all graphs meme-friendly.

Topics

  • Agentic AI
  • Data
  • Databases
  • eCommerce
  • GEO
  • Infrastructure
  • Large Language Models (LLMs)
  • LLMOps
  • Model Training
  • Product Strategy
  • Product Management
  • Startups