We are hiring an AI Chief of Staff to give each team at Roger more leverage through agents that ship, get used, and get measured.



You work directly with Romain, our CEO. You own the portfolio: you find where AI changes how we operate, deploy the right agent, get the team to trust it, measure it, improve it.



Your first project could be autonomous SDR agents that replace the outbound prospection work we currently do by hand. You own every step: the pick, the build-or-buy, the deployment with the sales team, the change management, the measurement, the continuous improvement. When it works, you scale it. When it does not, you kill it and move on.



**A few other concrete examples of what the first year could look like:**




- Customer success drafts 80% of client replies from a system that reads our ticket history, product docs, and the client's setup. They polish the last 20%. One person now handles what two used to.

- Sales walks into every demo already knowing the prospect's org chart, likely pain points, and which of our deployments looks most like theirs.

- Back-office stops doing work that should not need a human. Reporting, invoicing, recruiting pipeline triage. One workflow at a time, replaced by an agent.




You will not do all of this in six months. You pick the one that moves the needle most, deploy it, prove it, scale it, then pick the next.



**This role is not for you if**




- You want to design the transformation more than you want to do the work.

- You need a team of four to deliver anything.

- You would build everything from scratch for the craft of it, even when a great tool already solves the problem.

- You would rather coordinate vendors than get your hands on the actual work.



Tasks


**What you will actually do**




1. **Prioritize**
. Sit with our CS team for a day. Shadow a sales call. Read 200 support tickets. Rank use cases by leverage, not by novelty. Write a one-pager for the top pick: baseline metric, target, why now.

2. **Deploy**
. Buy, wire, or build, in that order. If a great tool exists, buy it and wire it in. If not, prototype it. n8n, Python, a Claude prompt, whatever works. When an agent can do the work autonomously, deploy the agent, don't just make the human faster.

3. **Drive change**
. A tool nobody uses is worth zero. An agent nobody trusts is worth less than zero. Sit with the user, watch them work, fix the friction, train the next three people. Translate the agent's limits to the team without jargon, and the team's reality back to the agent. Build the trust it takes to hand a piece of work to software.

4. **Operate and improve**
. You own what you ship. Monitor it. Measure it against the target you set. Fix what breaks. Kill what does not earn its keep. Build the tooling to run this at scale. We expect you to run a portfolio, not a single experiment.



Requirements


**How you think**



We have very high standards. This describes a way of operating, not a number of years.




- **Shipper, not strategist.**
We hire doers. You would rather put a working agent in someone's hands on Tuesday than present a perfect slide on Friday. Signing up for a new SaaS, wiring an API, or writing 50 lines of Python are the same act to you: closing the gap between the problem and the solution.

- **Change driver.**
A technical deployment without trust is a failed deployment. You listen to the person whose work is about to change, you fix friction where you find it, you explain the agent's limits honestly. You move a team from
**"an agent can't do my job"**
to
**"I'd never go back".**

- **Operator.**
You own your projects over time. A portfolio of 6 live agents at t+1 year beats 20 prototypes in a drawer. You monitor, you measure, you improve, you kill when needed.

- **Technical judgment.**
You can read an API, wire a workflow, write a useful prompt, debug a script. Not a senior engineer. Dangerous enough to get a first version working alone, opinionated enough to know when to buy instead of build.

- **Allergic to theory.**
"AI transformation," "center of excellence," "maturity framework." Something in you recoils. Good. Same here.




**Who you are**




- **Entrepreneur**
. You have carried something alone. A side project, a startup, a product inside a bigger company. You know the difference between 90% and in production.

- **Curious by default.**
You have rewired your own work with AI before anyone asked you to. You test new tools the weekend they come out, and you have opinions on what is signal and what is noise.

- **Fix-first.**
If something is inefficient, you fix it before it reaches a meeting.

- **Clear-eyed about ambition.**
You want to become a leader. You understand that the fastest way is sitting next to founders who are still building.




**What you bring**




- 4 to 8 years of experience. Product, engineering, ops, consulting, founding. We care about what you built, not where. Most of your time should have been spent actually shipping, not presenting. Extra points if you got tired of decks, roadmaps, or code nobody uses, and are now wired to build things that land in real hands.

- A real relationship with AI tools. Daily use, strong opinions on where they break. No PhD needed.

- Enough code to build a prototype end to end. The language does not matter, the logic does.

- Fluent in English and French. Both mandatory.



Benefits


**Our pact**




- **Direct access to the founders.**
You work with Romain (CEO) every day, with Elias (CPO) and the tech team regularly. No layers in between.

- **Real autonomy.**
We give you a scope and we trust you. We push back hard when we disagree, and we expect the same from you.

- **Carte blanche on tools.**
Model subscriptions, software, hardware. If it makes you faster, yes.

- **Flexible remote.**
One day a week in Geneva, the rest wherever you want.

- **Sustainable hours.**
We are intense in energy, not in hours. If you are working weekends, we have a problem and it is not you.




**Why this role, why now**



The way companies operate is changing. Within a few years, the winning teams will be the ones that turned AI into real leverage: agents running in production, not slides in decks. Almost nobody knows how to do that work yet.



The people who will figure it out first are the ones learning it from the inside of a growing company, in real conditions, next to founders who are still building and already run a deliberately efficient operation. You will see what actually works across every function (sales, CS, ops, finance) and you will build the judgment that takes a career a decade to earn otherwise.



We believe very few things will teach you more. Right skill, right place, right moment. They might not align again.



**About Roger**



A Swiss HR ops platform used by 150+ customers. Team spread across French-speaking Switzerland. Fast-growing, profitable, backed by high-profile investors. We stay deliberately efficient: small team, very competent people, high standards across the board. Our product is simple, and we refuse to add people faster than we remove complexity.



Operational excellence is how we compete. AI is the next lever to push that ratio further. Within a year, each person on the team does more, with autonomous agents taking over work that used to need a human. The direction is clear. The execution is the job.



**Process**



1. First call with Romain (CEO), 30 min



2. Case study with Romain (CEO) and Elias (CPO), 1h30



3. Final meeting with the team, 30 min