About the role
The Societal Impacts team studies how AI is changing work, education, information and institutions, and publishes what we find. Our work is empirical first: usage data, surveys, controlled studies and economic analysis, with the limits of each stated plainly.
Clexerl builds products meant to remove work from people, so we have a direct interest in what happens to the work that remains. Clexerl Go's guiding question, what is the least a person should have to do here, is also a social question. Findings go to product teams as design input, to Frontier AI leadership as risk evidence, and to the public as open research.
We work in the open where privacy allows. Methods are pre-registered where practical, data handling goes through privacy review, and we welcome outside critique.
What you’ll do
- Design and run empirical studies of AI use, combining privacy-preserving usage analysis with surveys and field experiments.
- Analyse labour-market and productivity effects using econometric methods, and be explicit about identification limits.
- Write research papers, policy briefs and data releases for technical, policy and general audiences.
- Work with engineering to build aggregate, privacy-preserving measurement pipelines over product usage.
- Brief product, safety and executive teams on findings and what they imply for design and release decisions.
- Engage external researchers and institutions to review methods and replicate results.
What you’ll bring
- Advanced training in economics, social science, public policy, statistics or a related quantitative field, with published or equivalent applied work.
- Strong quantitative skills in Python or R, including causal inference, survey design and careful regression analysis.
- Ability to write clearly for non-specialists without overstating what the data shows.
- Familiarity with how language models are used and what current systems can and cannot do.
- Sound understanding of data protection principles and ethical research practice.
- Intellectual honesty: willingness to publish results that complicate our own story.
Nice to have
- Experience in government, a think tank or an international organisation working on technology policy.
- Background in education, labour economics or media studies.
- Experience with privacy-preserving analytics such as differential privacy or secure aggregation.
- A public record of commentary or research on AI governance.
Work you might take on
- 01
Publish a quarterly study of which tasks people delegate to AI agents, using aggregated and privacy-reviewed usage data.
- 02
Run a field experiment on how an agent-native workspace changes time spent on coordination work versus judgement work.
- 03
Write a policy brief on evidence thresholds that should trigger additional safeguards before a model release.
- 04
Build an occupational exposure measure that combines task descriptions with observed model performance on those tasks.
Compensation
$200K – $320K
The US base salary range for this role. Every offer also includes equity in Clexerl and, when it spins out, in the venture you help build. We tell you the reasoning behind your number.
Benefits
Health, fully covered
Medical, dental and vision for you and your dependants, premiums paid in full.
Two kinds of equity
Equity in Clexerl, plus a stake in the venture you help build when it spins out.
22 weeks parental leave
Fully paid, for every parent, however your family arrives.
Rest that sticks
Flexible time off with a four-week minimum we actually check on, plus a company-wide week in December.
Learning and compute
A yearly budget for courses, conferences and books, and compute credits for side projects.
401(k) with a 4% match
Matched from your first paycheque and vested immediately.
How we hire
Apply 5 minutes
Send links to what you have built and a few lines on why this role. No cover letter needed.
Intro call 30 minutes
A conversation with the hiring manager about the work, the team and what you want next.
Work sample 2–4 hours
A paid take-home or a pairing session on a real-shaped problem. You pick the format.
Studio day One day
Meet the team, go deep on your work and ours. Remote or in person.
Offer Within 5 days
A written offer with the full range, the equity and the reasoning behind both.
Opens an email with a short template. Links beat résumés.