SAIGE Fellowship Manager

Location: Remote (part-time first), then Berlin (full-time) starting from October

Reports to: Executive Director, SAIGE

Start date: ASAP, with 2 days paid work trial

Compensation: 50,000€ – 70,000€ gross per year, depending on experience. SAIGE is just getting started, and currently has two months of existing runway, but we are actively fundraising. You can see this position as a guaranteed two-month contract, with the aim of turning it into a permanent role. WE-AID is our fiscal sponsor, and you’d be legally hired by them. Please note that at this time, we cannot sponsor visas.

Application link

Deadline: Applications reviewed on a rolling basis. This is a fast hiring round, with offers made in 1-3 weeks.

Key Summary

Safe AI Germany (SAIGE) is hiring a Fellowship Manager to lead SAIGE's residential fellowship in Berlin.

SAIGE is a national organisation building Germany's talent pipeline for safer AI. Since launching in January 2026, we have run Germany's first national AI safety incubator across technical AI safety, AI governance & policy, technical AI governance and communications & fieldbuilding (226 applications, 73 mentees, 22 projects with mentors from Stanford, MIRI, Pivotal Research, Harvard, the University of Bonn etc.), hosted in-person events in Berlin with the Foresight Institute, built an advisor network spanning the Center for AI Safety, Cambridge ERA, FAR.AI, Future of Life Institute and German federal research institutes. We have also partnered with High Impact Professionals and SteadRise to establish our Pivot Track, which is specially designed to support career professionals transitioning into AI Safety, and our online global speaker series.

The fellowship is our most ambitious next step: a residential fellowship bringing the most promising emerging European AI safety researchers to Berlin for an intensive period of focused work and mentorship.

As a SAIGE Fellowship Manager, success in the first 6 months looks like:

A complete fellowship design document, including programme structure and timeline, selection criteria and rubrics, mentor expectations, fellow expectations, activities within the fellowship, alumni follow-ups; Reviewed and approved by SAIGE leadership and board advisors.
Positioning the SAIGE fellowship in the talent pipeline, filling gaps in the EU AI Safety landscape.
Design of the application portal and finalising the first round of fellows.
Owning the operational aspects and communications with our fiscal sponsor WE-AID, including sourcing compute, supporting accommodation and any visa requirements.
Coordinating with our partner organisation, Foresight Institute, on co-working spaces for fellows.
Support raising funds for the fellowship.

You may be a fit for this role if you have:

Run a fellowship, residency, or similar structured talent programme
You have personally led the design and execution of a programme of similar shape (not necessarily in AI safety), lasting weeks to months, and delivering meaningful outputs. You can speak in detail about what worked, what didn't, and what you would change.
A 0-to-1 track record
You have built something from nothing; It could be an organisation, a program, a function within an organisation. You can describe the unexpected challenges you navigated. Comfort with ambiguity.
Sufficient AI safety context to talk to experts
You don't need to be a technical AI safety researcher. Knowing about the field’s key debates, leading organisations, important publications, and major figures is desirable.
Strong autonomy
You are agentic in your execution without daily oversight. If something is blocking you, you proactively flag to seek help and propose solutions.
Experience working with researchers
You understand how to communicate with researchers and how to build programmes that actually serve their work.
Strong written and verbal English

Fluency in English is required, functional German preferred.

Berlin presence

Either already in Berlin or willing to relocate before fellowship launch.

We expect that many great candidates for this role will not score highly across many of these characteristics. We are excited about hiring unusual candidates for this role if they score highly in our work tasks.

At SAIGE, we have a culture of:

Take ownership of your tasks, including mistakes.
Openness to ask for help.
Comfort with uncertainty and interest in shaping our culture, as we're still a young organisation.
Alignment with SAIGE's mission to build a trustworthy infrastructure for AI safety.
Strong analytical, problem-solving, and communication skills.
The ability to personally make and externally drive progress with little oversight.

Bonus points if you have:

Past AI safety research experience.
An existing network within the AI safety ecosystem (e.g. GovAI, MATS, ERA, IAPS, Talos, Tarbell, Pivotal, CAIS, ARENA, or similar).
Experience operating in or with German institutions, which could be universities, research institutes, federal research bodies, or non-profits.
Run programmes that produced lasting alumni networks rather than one-off cohorts.

Application link

If you're unsure whether you're a fit, apply anyway. Our paid work trial is where we learn the most about candidates!

We are an equal opportunity employer. Applications are assessed on merit against the requirements of the role.

Questions about the role? Reach out to info@safeaigermany.org