Maryna Deundiak

Founders typically come to me with questions like: Why isn't our AI product getting adopted? Why is our pilot not becoming revenue? How do we scale beyond the first customers? How should we structure ownership around AI? What should we build next? My work focuses on the layer between AI capability and business execution: • Decision Architecture • Product Strategy • AI Adoption • Founder Bottlenecks • Ownership & Accountability Systems • GTM and Product Alignment • Scaling Operating Models Over the past 15+ years, I have led product initiatives across automotive, SaaS, AI, media technology, and digital platforms. Selected experience includes: • Senior Product Management Lead at Stellantis • Head of Product at Edisen • Product Leadership across platforms serving 10M+ users • Products launched across 6 countries and 13+ automotive brands • PhD in Radio Engineering • 10 patents • 35+ publications I mentor founders, product leaders, and AI companies navigating growth, adoption, and organizational complexity. Typical topics: • AI product strategy • Scaling from founder-led execution • Product and GTM alignment • AI accountability and decision ownership • Product operating systems • Strategic prioritization • Executive product leadership If you're building an AI-first company and finding that growth is creating more complexity than clarity, we're probably discussing the same problem.

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  Go to market strategy

  I help founders and product teams bridge the gap between product development and market adoption. Topics include customer segmentation, positioning, pricing, launch strategy, and aligning product decisions with revenue outcomes.

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  Leadership

  I mentor senior product managers, directors, and heads of product on organizational design, stakeholder management, strategic decision-making, and scaling product teams. Having led global product initiatives across multiple industries, I help leaders navigate growth, complexity, and transformation.

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  Product market fit

  help founders move beyond building AI features and validate whether they are solving a real business problem. Over 15+ years in product leadership across AI, SaaS, mobility, fintech, and healthcare, I've worked with teams to identify customer pain points, prioritize opportunities, test assumptions, and turn product ideas into scalable businesses. My focus is on finding the intersection of customer value, business impact, and sustainable growth.

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  Artificial Intelligence

  I help organizations move from AI experimentation to real business outcomes. This includes AI product strategy, governance, decision-making frameworks, accountability models, and scaling AI initiatives beyond pilots. My focus is on ensuring AI creates measurable business value rather than becoming another technology project.