TECH SALES
BY THE DEAL DIRECTOR
I write for top performers interested in the development and selling of technology.
That means members of the Go-To-Market teams (tech sales), investors and founders.
My strong conviction bet is that computing power is the most important resource, alongside oil. Everything that we build in the worlds of atoms and bits depends on it. What are the most important attributes of computing power?
Obtaining it (The art of designing and printing silicon)
Utilising it (Building applications powered by AI)
Keeping it running (Orchestrating and observing resilient systems)
Protecting it (Securing computing power through software, people, and processes)
When I refer to AI, I focus on both cutting-edge LLMs, as well as ML at enterprise scale.
I believe that the highest value will accrue at the bottom of the stack, which means the chip makers, the cloud hyperscalers and their marketplaces, AI model makers, and select ISVs across data platforms, observability, and cybersecurity.
This is my love letter to the industry.
Every Sunday I write a new email.
One week it’s about the most interesting SaaS companies to work for and invest in.
Another week I take a big-picture view of cybersecurity or cloud computing.
Sometimes I do a deep dive into the art of tech sales.
I’ve covered in significant detail from a tech sales perspective companies such as Palo Alto Networks, Crowdstrike, Datadog, Samsara, Salesforce, HubSpot and many others.
The Tech Sales Community is a passion project dedicated to providing those in the tech sales trenches with an edge.
The focus of the community is to get together some of the most hungry, talented and long-term oriented tech sales individuals in one place.
We discuss in-depth cloud computing, cybersecurity, GenAI, data platforms, SaaS companies, getting hired, getting fired, managing stress and achieving your dreams.
One community call every week.
The biggest story of the last 2 years in tech sales is the emerging of GenAI as part of the technology stack.
LLMs changed how we think about interacting with systems.
Now is the time to learn how to sell the AI tech stack.
From my perspective, every application that we use can be augmented and improved with the implementation of ML-at-an-Enterprise-scale.
Learn with me how to qualify the right company to work for and become sucessful selling their AI-improved product.