Design and build the architecture for Wispr’s macOS platform, focusing on a robust screen-context engine to enable advanced voice interaction features like dictation, Notetaker, and Instruct Mode. Own technical direction for accessibility, native integrations, and system performance while solving complex desktop systems challenges. Requires deep platform expertise and ownership of quality/UX metrics.
Key Highlights
Own the architecture of Wispr’s macOS platform and build the foundational screen-context engine
Solve hard desktop systems problems in accessibility, native integrations, memory, state, and background behavior
Set technical direction for performance, correctness, and cross-application failures while prioritizing user privacy
Key Responsibilities
Build a reliable screen-context engine for dictation, Notetaker, Instruct Mode, and future products
Set technical direction across accessibility, native integrations, memory, state, and background behavior
Solve difficult performance, correctness, and cross-application failures in macOS systems
Expand Flow’s understanding of user context while protecting performance and user privacy
Turn OS-specific knowledge into durable, extensible foundations for the engineering team
Technical Skills Required
macOS
Platform Architecture
System Design
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Benefits & Perks
Visa sponsorship for H1B, O1, EB1, L1, STEM OPT
Competitive compensation range ($270K–$350K)
Commitment to fair and accessible interview process
Nice to Have
Experience with voice, ML, Electron, or accessibility APIs
Recent production code shipping for desktop applications
Debugging unfamiliar systems from first principles
Ownership of quality or UX metrics beyond feature roadmaps
Job Description
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.
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