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San Francisco, California, United States
Onsite
Available
Wispr is an AI research and product company building the voice interface for computing. AI can now reason, code, and act. Yet, humans still do the work of the interface. We think that’s backwards.
Our first products are Flow, which lets you speak naturally in any application, and Notetaker, which builds context across conversations. We’re building toward an interface that can perceive, understand, and take action with earned trust. That means solving hard problems across models, systems, and product - and caring about the final human experience as deeply as the technology underneath it.
We’re a talent-dense team that holds strong opinions, tests them quickly, and builds technology that sparks joy. Our goal is to build the first voice interface used every day by a billion people.
You’ll drive the creation of new products on the frontier of HCI, in collaboration with our research team. You’ll form hypotheses, build prototypes, test them with teammates and users, discard ideas that do not work, and ultimately build evidence for how Wispr’s products should evolve. If an idea works, you’ll help turn it into a real product area and own its direction and implementation.
Explore areas such as: fast voice actions, computer use, novel interaction patterns
Develop hypotheses, prototypes, and experiments for your own ideas
Build and evolve a harness for in-house models around human computer interaction
Improve memory and context retrieval to support different interaction modalities
Partner with the ML team to create a bidirectional product–model feedback loop
Test, evaluate, and either graduate promising ideas into product areas or document why they should be abandoned
If a bet sticks, own its direction and implementation with increasing scope
You have taken an ambiguous idea from hypothesis to prototype and user or internal testing.
You have explored multiple directions and killed ideas when the evidence did not support them.
Built something that changed how people interact with a computer, or demonstrated unusually strong instincts for new interaction patterns.
Worked closely with researchers or technical collaborators where product needs and model capabilities shaped each other.
Shipped a prototype or product, or can show a rigorous body of experiments and learning even when nothing graduated.
Owned meaningful product direction and implementation when an idea proved promising.
Communicated your work clearly through concrete artifacts, technical or product writing, or demos - especially in public!
You do not need experience in this exact area or deep expertise across HCI, product, and ML. We care more about how quickly you learn and your judgment about what to test, when to stop, and what to pursue.
We sponsor H1B, O1, EB1, L1, STEM OPT, and more. We can't guarantee sponsorship for every role, but if we make you an offer we'll make every reasonable effort, with help from our immigration law firm.
We strongly encourage you to apply even if you don't meet every qualification. The strongest candidates we meet rarely do, so don't exclude yourself prematurely. We're rethinking how humans interact with AI, and doing that well demands diversity of perspective and experience.
We're committed to a fair and accessible interview process. If you need any accommodations or adjustments, please let us know.