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World Congress 2026 Europe • Jul 10, 2026 • Session details

Marketing x Product: How We Stopped Gaslighting Each Other and Built AI Products That Actually Work

Ariel Shulman , Yanay Sela

Is cross-functional gaslighting dooming your AI projects? Learn how Bright Data's CMO and CPO united their teams with LLM-summarized telemetry to ship an enterprise-ready, self-healing web scraper.

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#1 about 3 min

Extreme engineering culture for massive web data operations

Operating an agile infrastructure with over one hundred daily releases relies on automated quality assurance and minimal administrative overhead.

#2 about 2 min

Dealing with executive vibe coding and prototype expectations

Managing technical debt starts when executives hand off shower-thought prototypes expecting immediate production readiness.

#3 about 3 min

Overcoming product management and marketing messaging disconnects

Translating chaotic buzzwords into grounded developer communication requires aligning on core functionality rather than marketing jargon.

#4 about 3 min

Technical workflow for generating self-healing scrapers

Bypassing anti-bot protections and parsing chaotic HTML enables artificial intelligence to map structured schemas and generate viable scraping code.

#5 about 4 min

Negotiating scope limitations for a minimum viable product

Balancing go-to-market speed with engineering realities involves hard compromises on processing timeframes and strategic user friction architectures.

#6 about 3 min

Resolving misaligned terminologies across technical and business functions

Analyzing communication logs reveals severe discrepancies in how terms like beta readiness and technical refactoring are interpreted across departments.

#7 about 2 min

Testing the initial prototype workflow and user interface

Running an internal tool iteration on dynamic retail sites demonstrates how initial code generation extracts target product details from complex HTML.

#8 about 3 min

Implementing product feedback loops to trap algorithmic hallucinations

Routing beta user behavior through centralized messaging channels surfaces critical edge cases like model hallucinations on inappropriate domains.

#9 about 3 min

Evaluating launch analytics and filtering low intent acquisition

Surface-level launch spikes frequently disguise problematic user intent when initial campaigns lack rigorous qualification logic.

#10 about 6 min

Confirming product market fit via autonomous enterprise deployments

Iterative optimizations finally validate market fit when major organizations successfully orchestrate end-to-end data pipelines entirely through self-service channels.

#11 about 2 min

Resolving user trust constraints and public data compliance

Creating reliable artificial intelligence outputs mandates strictly limiting ingestion to publicly accessible data rather than circumventing authentication barriers.

Matching moments

2:41 min

Navigating AI spam and aggressive outbound sales tactics

Chris Heilmann +2 · LIVE

3:20 min

Bridging constraints between product management and software engineering

Alexandre Guenoun Alexandre Guenoun +3 · WWC Europe 2026

1:44 min

Exposing how traditional marketing buzzwords alienate technical audiences

Tim Cadenbach Tim Cadenbach · WWC 2025

1:53 min

Democratizing feature prototyping for non-technical product managers

Adam Tornhill · Coffee With Developers

3:15 min

Core preventative strategies for sustainable artificial intelligence implementations

Marin Niehues Marin Niehues · LIVE

2:19 min

Marketing products to developers without aggressive sales motions

Chris Heilmann +2 · LIVE

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