In this fireside chat, Bill Coughran and Melody Meckfessel discuss different dynamics to help your engineering org become a strategic advantage to your company. They’ll cover how to leverage feature/system “simplicity,”how to weigh when you should bring insights into your product usage, when to strategically bring in SREs, and how to balance tech debt and refactor work.

We’re all looking for ways to improve engineering productivity - so what’s the secret behind great teams? This session with Cyrus Radfar and Ali Irturk unpack some of the invisible elements of culture that can cause dramatic increases in engineering productivity. They’ll cover how to increase ownership and empathy, what creates the right environment driving great documentation, and how to align incentives to help you release faster and with higher quality!

Stripe CTO David Singleton shares insights from the first decade-plus of the company's history, from building the Stripe API to launching its remote-first engineering hub in 2019. Learn how the company has approached the challenges of managing change, growing its product ecosystem, and keeping a laser focus on the end-user experience.

To grow your engineering team from 200 to 1,200+, you can expect many different phase changes in your org. How might your role change and what can you anticipate along the journey? This fireside chat with Ryan King and Clarence Choi explores how Ryan’s role has evolved over the last 10 years at Chime through different phases of Chime’s growth. They’ll cover how team topologies have changed, how he’s hired senior leaders/VPEs for different phases of the company, how goal setting changes, and other great insights to help you scale your org to the next level!

Broken data is costly, time-consuming, and nowadays, an all-too-common reality for even the most advanced data teams. In this talk, I’ll introduce this problem, called “data downtime” — periods of time when data is partial, erroneous, missing or otherwise inaccurate — and discuss how to eliminate it in your data ecosystem with end-to-end data observability. Drawing corollaries to application observability in software engineering, data observability is a critical component of the modern DataOps workflow and the key to ensuring data trust at scale. I’ll share why data observability matters when it comes to building a better data quality strategy and highlight tactics you can use to address it today.

Your product is great, gaining traction and your team is growing fast - great news! But success like this opens up a new class of challenges and requires an expanded set of leadership/management skills that both you and your team must develop. This fireside chat with April Chang and Charley Ho will explore early-stage growth challenges like how to grow people into new roles, set first-time managers up for success, transition into a manager-of-managers, teach your team to recruit, and introduce layers without slowing down decision-making!

We will walk through some of the anti-patterns around hiring that are common. Learn to spot behaviors that aren’t serving you or your organization so you can make better decisions.

Data-driven decision-making (DDDM) is the golden rule of this decade. Today, every company uses facts, metrics, and data to guide business decisions. Teams use them to achieve goals, objectives, and initiatives. In this keynote, you will hear real-world examples of how executives are accidentally misguided. Chu-Cheng, Chief Data Officer of Etsy, will share pitfalls, myths, and lessons that cost millions of dollars of opportunity loss he encountered in his career. He will also share practical tactics to spot these pitfalls early so you can avoid costly lessons at work.