Behind the Screen: Callum Mayer

Behind the Screen: Callum Mayer

“Behind the Screen” is a spotlight series that introduces the people of Kinduct. This instalment features Callum Mayer, a Sr Solutions Engineer who’s been with Kinduct for nearly six years.

What do you enjoy most about being a Solutions Engineer?

I enjoy meeting with potential clients to get a better understanding of their challenges and finding creative solutions within our stack of technology to solve those problems. I also enjoy being able to work cross-departmentally within our company as I can get involved with projects within our client facing teams as well as our product teams.

What does a day in your life look like at Kinduct?

A typical day could involve preparing for a big demo later in the week with the Account Executive (AE) who’s in charge of the opportunity; making sure we know what problem we’re trying to solve and ensuring the right visuals are in the platform so they can envision a solution that will fit their needs. So that would include setting up sites, building demo forms, building Tableau reports, creating training programs, etc.

Actually doing demos would be another big chunk of my day followed by discussing the feedback with the AE and passing along any product advice or insight to our product team. I also spend a lot of time working on processes and strategies related to how we present or package our solution to the market.

What’s been the most satisfying part of seeing Kinduct as an up-and-coming startup to where it is now?

The most satisfying part of watching Kinduct grow to where we are today was the ability to wear a lot of hats. With a small startup, new tasks and roles pop up and disappear on almost a monthly basis so being able to jump into different positions to fill gaps gave me a good perspective on many aspects of the industry and the company.

What do you like most about the intersection between sport and technology?

What’s cool about being in such a niche industry is that we get to hear about some game-changing technologies, people, and trends before they are discovered by the mainstream. Load management, for example, has been a core principle within our company for years but only recently has it really become a household term.

Another example is that we’ve known the folks at WHOOP for quite some time now and it’s amazing to start listening to popular podcasts and hearing their name come up. I think there are so many insanely intelligent and hard-working people in sport that go under the radar because the limelight is on the players, and I’m really grateful to work with the people that support our idols and keep them on the court, making plays, and breaking records.

What do you consider the most important aspect of Kinduct’s service to the user?

I would say it’s the ability to not only break down the walls between their data sources but also their own organization. I think it’s often overlooked, but a lot of our value is providing a cross-departmental tool for the collection and interpretation of data.

Having data in a single report or platform that’s been generated or “owned” by different roles opens up more opportunities for staff to collaborate on a cohesive plan surrounding the athlete’s development, health, and performance.

By working so closely with clients, are you seeing any sort of shifts in the industry? 

A shift that is happening now is driven by the data ownership conversation between athletes and organizations. I think teams will be pushed by players to share their tracking/performance data with athletes and, in turn, athletes will either have that interpreted by the team or a third part that they trust.

This is challenging because of the interpretation piece where the data is essentially meaningless if you are just looking at it longitudinally. Interpreting the data and creating action items based on the discoveries is hard to scale as most athletes are a study of one (i.e. no two athletes are the same), so data is going to need to be interpreted differently. That is the service that most teams provide to athletes now, but I think groups are going to develop clever ways to scale insight and provide athletes with automated insight regardless of the input.

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