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](https://qconsf.com/sites/qcon_sf/files/styles/medium/public/pictures/2024-05/dorotaparad.jpeg?itok=QrgTIHMK)
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](https://qconsf.com/sites/qcon_sf/files/styles/medium/public/pictures/2024-05/Screenshot%202024-05-30%20at%2012.01.17%E2%80%AFPM.png?itok=VaOt7a6S)
Rachel Potvin
SVP Eng @Sanity.io with 25 Years in Tech, Previously @Google and @GitHub, Engineering Leader Focused on Building Productive Happy Teams