Article being discussed in this thread isn't intended to be a luddite rejection of AI. It's just a mistake I see people keep making (and have made myself) and some thoughts on how to avoid it with the tools we have today.
DataSine | Software Engineer | London | ONSITE | Full Time
DataSine (Techstars 2016) is a VC-backed tech startup bringing together machine learning and psychology to enable companies to personalise how they talk to their customers at scale. We are a small team that is growing fast, and are looking for creative engineers across the full stack to join our team in London.
You will be building a fast-growing product suite of intelligent content authoring tools, analytics and visualisation software, cloud-hosted, scalable and using a bleeding-edge machine learning stack. You will working closely with the rest of the technology team, our data science and psychology R&D team, and the rest of the company up to and including the CEO.
We are a diverse and friendly team and welcome applications from all backgrounds. This is an exciting opportunity to join a successful startup as it reaches an inflection point - if this sounds appealing then please get in touch.
DataSine | Software Engineer | London | ONSITE | Full Time
DataSine (Techstars 2016) is a VC-backed tech startup bringing together machine learning and psychology to enable companies to personalise how they talk to their customers at scale. We are a small team that is growing fast, and are looking for creative engineers across the full stack to join our team in London.
You will be building a fast-growing product suite of intelligent content authoring tools, analytics and visualisation software, cloud-hosted, scalable and using a bleeding-edge machine learning stack. You will working closely with the rest of the technology team, our data science and psychology R&D team, and the rest of the company up to and including the CEO.
We are a diverse and friendly team and particularly welcome applications from groups often underrepresented in the tech industry. This is an exciting opportunity to join a successful startup as it reaches an inflection point - if this sounds appealing then please get in touch.
DataSine | Software Engineer | London | ONSITE | Full Time
DataSine (Techstars 2016) is a VC-backed tech startup bringing together machine learning and psychology to enable companies to personalise how they talk to their customers at scale. We are a small team that is growing fast, and are looking for creative engineers across the full stack to join our team in London.
You will be building a fast-growing product suite of intelligent content authoring tools, analytics and visualisation software, cloud-hosted, scalable and using a bleeding-edge machine learning stack. You will working closely with the rest of the technology team, our data science and psychology R&D team, and the rest of the company up to and including the CEO.
We are a diverse and friendly team and particularly welcome applications from groups often underrepresented in the tech industry. This is an exciting opportunity to join a successful startup as it reaches an inflection point - if this sounds appealing then please get in touch.
Author here - completely agree with you. I think the presence of these things can be a nice shortcut to establishing expertise, but lack of them does not imply lack of expertise. These are just suggestions of things to look for, and it certainly isn't my intention that people be ruled out because of an empty GitHub profile. I hope that isn't what it sounds like.
Wow, I thought this one had just disappeared into the void. Glad to see I got people's attention and provoked debate, even if it seems much of it disagrees with my underlying assumptions.
For what it's worth, one thing I don't cover in the article is whether this is a good idea in the first place. It obviously isn't ideal, and as I say it is a difficult situation to be in. From my perspective, I think a non-technical founder is obviously better looking for a trusted former colleague or friend to join as CTO. Proven mutual history is the best thing you can lean on here.
But if this isn't possible, I would definitely espouse an interview process - however formal you prefer that to be. My post is therefore really intended as a how-to guide for someone in this awkward spot, looking to identify the skills and experience for technical leadership without the background to do so.
Of course other soft skills and fit are just as important. But any decent founder will need to identify those in all people joining the founding team. This is just intended as a step-by-step guide for those specific skills needed for a technical co-founder or CTO. I hope it is helpful for someone!
