Engineering Productivity

Companies need to balance between rapid feature development and long-term product sustainability, and engineers are taking on more left-shifted, cognitive load as their features intersect with user privacy, security, accessibility, and regulations. There is no one-size-fits-all approach to Engineering Productivity, especially as market, scaling, and economic demands influence prioritization. What approaches, philosophies, and techniques have companies and products at very different points in their overall lifecycle successfully applied to improve the effectiveness and efficiency of development?

From this track


Unveiling the Cutting-Edge Tech Stack for Peak Engineering Performance

Details coming soon.

Speaker image - Dorota Parad

Dorota Parad

Founder & CEO @Rhosys


Productivity Lessons in Moving from Big Tech to Scaling a Startup

Most productivity research happens in large tech companies. Many of the lessons learned there apply to the world of Startups as well, but some don't carry over.

Speaker image - Rachel Potvin

Rachel Potvin

SVP Eng with 25 Years in Tech, Previously @Google and @GitHub, Engineering Leader Focused on Building Productive Happy Teams

Track Host

Jennifer Bevan

Senior Staff Software Engineer @Google, Previously at the Jet Propulsion Laboratory

Jennifer Bevan has spent the past 17 years at Google, developing testing infrastructure and tools to improve products and the end-user experience. A graduate of both UC Berkeley (B.S., EE/CS) and UC Santa Cruz (Ph.D, Software Evolution & Maintenance), and 7 years at the Jet Propulsion Laboratory, Jennifer turned an interest in how software systems can maintain adaptability over time into a career in Engineering Productivity. She has worked within developer tools, product testing, and platform testing, with a more recent focus on privacy and regulatory compliance.

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