Upcoming events

New York

October 15–17, 2025

Berlin

November 3–4, 2025

London

June 2–3, 2026

Meetups

Search results

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Taking a seat in the C-Suite: Transitioning from the highest-level operational roles to the executive team
A look at the transition to executive leadership, examining the skills, mindset, and priorities needed to succeed.
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Transforming tradition: The journey to product-led growth
Learn how Dow Jones is embracing a product-first mindset to drive radical transformation and deliver innovative customer and consumer experiences.
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Leadership in AI-assisted engineering
Explore proven leadership strategies for AI-assisted engineering, fostering adoption, productivity, psychological safety, and measurable organizational impact.
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Building a cost-conscious culture: Technical and team strategies
Discover proven strategies to optimize cloud infrastructure costs and build a cost-aware engineering culture without slowing delivery.
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Build features, not fragile foundations
Learn how to balance feature delivery with technical debt reduction to maintain system health, velocity, and long-term stability.
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Engineering leadership playbook, 2025: Three lessons every engineering leader needs this year
Learn three key lessons to lead AI adoption, build remote teams, and strengthen engineering culture.
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Uncovering silent struggles in leadership roles
A candid session revealing common hidden leadership challenges, with practical strategies to address and overcome them effectively.
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The AI-augmented team: Rethinking roles, skills, and leadership
Explore how AI assistants and agents are reshaping team structures, required skills, and leadership in modern engineering organizations.
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⁠⁠Making AI work for you: Examining and enhancing your developers’ workflows
Learn how to assess, adapt, and optimize developer workflows with AI to enhance collaboration, productivity, and measurable impact.
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Lessons learned using Generative AI for product development
Discover practical lessons on applying generative AI to product development, including model choices, evaluation methods, integration challenges, and innovation strategies.