Research Engineer
Ando is a messaging platform where AI agents take on work alongside their human teammates. We’re rebuilding Slack from the ground up around two core ideas: durable memory and agents as first-class participants.
We have real, longitudinal, multi-party workspace data, and human / agent users whose behavior tells you whether the systems you're designing are actually meaningfully improving. Working with live business communication means permissions, redaction, and security are things we have to think about as well. If you want to have your research come into contact with reality, Ando is the place for it.
Some concrete research problems on our plate right now:
Proactivity: An agent embedded in a team's channels has to decide, message by message, whether to ignore, quietly track, or intervene. Evaluating that judgment means building benchmarks where the ground truth includes silence. Existing agent benchmarks are almost entirely reactive.
Memory: What should a workspace agent remember across weeks and months of participation, in what representation, and how do you measure whether memory is helping versus hurting agent usefulness?
Continual Learning: How much does basic memory, retrieval, and
