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CIP in San Francisco seeks a product engineer to develop the Weval platform, facilitating democratic evaluation of AI systems. This role combines software engineering with civic engagement to ensure AI serves societal needs rather than undermining democracy.
You will handle frontend development, work closely with partners in AI labs, and influence important evaluations affecting AI's future. The role offers a competitive salary of $150k and comprehensive benefits, with a preference for hybrid collaboration.
The Collective Intelligence Project builds infrastructure that gives people across the globe meaningful input into how AI systems are developed and governed. We combine large-scale deliberation, participatory evaluation, and institutional partnerships in a way no lab, regulator, or civil society organization can achieve alone.
We're a small, high-leverage team backed by leading foundations (Google.org, Omidyar Network, Future of Life Foundation, Robert Wood Johnson Foundation) working with top AI labs and governments to ensure AI development expands democratic capacity rather than undermining it.
We are hiring a product engineer to build and maintain full-stack platforms enriched with copious data, rich visualizations and easily-navigable user experiences. The overarching challenge is one of articulating complex and sometimes overwhelming data in a way that can be understood by mainstream audiences, journalists, academics, and fellow engineers.
You'll start by spending most of your time continuing to build out Weval, our evaluation platform that's being used by AI labs and governments to assess frontier models on questions automated benchmarks can't answer—like whether a model handles mental health crises safely, gives accurate legal advice in Indian languages, or exhibits political bias.
You'll also work on other CIP projects like Global Dialogues (70+ countries gathering public input on AI), Digital Twin evaluations (testing whether AI agents accurately represent people), and experiments with partners deploying democratic AI governance tools in the real world.
This is a high-impact IC role where you'll own significant parts of the technical infrastructure, work directly with partners at AI labs and governments, and help prove that democratic oversight of AI systems is not just possible but practical.
You'll report to Evan Hadfield, CIP's Head of Projects.
Build and improve Weval (~60%)
Weval is an open platform where researchers, civil society organizations, and domain experts create evaluations that labs and governments actually use. It's infrastructure for pluralistic AI evaluation where a mental health professional in the US, an election integrity org in Sri Lanka, and policymakers in India can all rigorously test whether AI systems work safely and well in their contexts.
You'll:
Support other CIP projects (~30%)
You'll work on CIP's other democratic AI infrastructure:
Required:
Nice-to-haves:
This role in 12 months:
The nature of software engineering is changing fast. We expect that in a year, you'll spend less time writing code line-by-line and more time orchestrating AI agents, making architectural decisions, and reviewing/directing output from increasingly capable coding tools. The engineer's value is shifting from "can you build it" to "do you know what to build, and can you tell whether it was built well." That means stronger emphasis on system design judgment, quality standards, and the ability to manage multiple parallel workstreams where AI is doing much of the execution. We're looking for someone who's excited by that shift — who sees it not as a threat to their craft but as a massive expansion of what a single engineer can ship.
Submit an application via this form.
We're looking to hire ASAP and will review applications on a rolling basis.