We are a small team of operators building working AI systems for the largest unautomated services market in tech: MSPs, MSSPs, VARs, and distributors. If you can frame messy problems, ship judgment under ambiguity, and want to do the best work of your career on a market nobody else is building for, keep reading.
OPEN POSITIONS
Live list below. Click any role for the full description, comp band, location, and apply form.
Roles update as positions open or close. If nothing fits today, keep reading. There is more on who we are and how we work below, and a way to send us your work anyway.
WHY WE EXIST
Companies now have more software than they do clarity. Dashboards everywhere. Notifications everywhere. Workflows that kind of work, but only if people remember all the steps. Data in one system, tasks in another, client conversations somewhere else, meeting notes in another place, and people still manually piecing it together.
If companies just buy a few AI tools, give everyone access, and hope that somehow changes the business, they are going to be disappointed.
The bigger opportunity is applying AI to the way work actually gets done, and changing what the definition of work and tasks even mean. AI sitting off to the side is interesting. AI connected to the work is where the value is.
That is the work. And in our market, the IT channel, it is a once-in-a-lifetime moment. Solution providers, MSPs, distributors, and vendors are going to be asked by customers what AI means, where to start, what is worth investing in, how to use it securely, and how to make it useful. At the same time, those same companies have to figure out their own internal AI strategy.
We know this market. We know the channel. We know how hard it is to get new systems adopted, and how much opportunity there is when you can take the work a team is already doing and give it better systems, better context, better automation, and more output.
That is what PRESHai represents. And that is what we are hiring for.
Chris McGovern
Founder & CEO
THE PEOPLE
Three traits show up in everyone who does well here.
Most of what we do has not been done before in this channel. We need people who can take a vague client problem, define the scope themselves, and ship something that works without waiting for a playbook that does not exist yet.
You either already speak MSP, MSSP, distributor, and VAR, or you are hungry enough to learn the language in 90 days. We do not slow down to explain CRM/PSA integration or ticket queues every meeting.
Everyone here uses AI to do the actual job: coding, writing, research, ops. If you are still treating AI as something you will get around to, this is not the place. If you have already replaced 5 tools in your workflow with prompts and agents, you will fit in fast.
THE WORK
We are an AI implementation firm with a platform underneath. Most of our team works across all three of these modes in any given week.
Working with a client to take an operational problem (ticket triage, partner onboarding, sales quoting, security alert enrichment) and ship a working AI system into their environment. End-to-end: discovery, build, deploy, measure.
Building and extending the operational layer that runs the AI we deploy. Agent orchestration, governance, monitoring, and integrations into the Microsoft, Google, and MSP-tool stack. This is the engine that makes our implementation work durable.
Keeping deployed AI running, governed, and improving for clients on ongoing retainer. This is where most of our recurring revenue lives, and where the hardest-won product feedback comes from.
OPERATING PRINCIPLES
We give ourselves startup-speed on the build side. We hold ourselves to enterprise-grade standards on the handoff side. Speed without discipline is just chaos.
Every engagement makes PRESHos sharper. Every PRESHos improvement makes the next engagement faster. We do not accept work that does not compound.
Internal work runs on agents we built. We use AI to draft, review, plan, debug, and ship. If a process can be automated and is not, that is a bug.
Open dashboards, open reporting, open dialogue. We would rather show clients the messy middle than ship a perfect status update that hides the truth.
Every decision gets pressure-tested against one question: does this make us more useful to MSPs, MSSPs, VARs, and distributors? If not, we do not do it.
We are not trying to be 200 people. We are trying to be 20 people whose output looks like 200, because the platform and the AI compound under us.
PRACTICAL DETAILS
We made a deliberate call early on. Build the company, do not buy the talent. That means hiring people we can develop and retain, mixing them with the senior operators we acquire, and letting that combination compound. The way you do that, in our experience, is in person. So we are.
GENERAL INTEREST
We hire when the right person shows up, not just when a role is posted. If what you have read above sounds like you, send a short note about what you have shipped and the kind of work you want to be doing.
