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Reposted 15 Days AgoSaved
In-Office
San Francisco, CA, USA
180K-270K Annually
Junior
180K-270K Annually
Junior
Artificial Intelligence • Consumer Web • Wearables
As an iOS Engineer at Wispr, you will design and enhance the iOS voice assistant, improve voice dictation features, and prototype new user interfaces.
Top Skills: Swift
Reposted 15 Days AgoSaved
In-Office
San Francisco, CA, USA
180K-270K Annually
Mid level
180K-270K Annually
Mid level
Artificial Intelligence • Consumer Web • Wearables
The Android Engineer will build Wispr's voice interface, enhance the dictation experience, and prototype new features while focusing on design and UX.
Top Skills: Accessibility ApisAndroidKotlin
Reposted 16 Days AgoSaved
In-Office
San Francisco, CA, USA
90K-110K Annually
Junior
90K-110K Annually
Junior
Artificial Intelligence • Consumer Web • Wearables
The Sales Development Representative will analyze product usage, engage existing users, drive internal referrals, and refine growth tactics to expand Wispr's adoption.
Top Skills: CatalystEndgamePocus
Reposted 20 Days AgoSaved
Hybrid
San Francisco, CA, USA
80K-110K Annually
Mid level
80K-110K Annually
Mid level
Artificial Intelligence • Consumer Web • Wearables
As a Technical Account Manager, you will manage post-sales relationships, ensuring customer onboarding and success with Wispr Flow, translating feedback to product teams, and providing high-touch support.
Top Skills: LinearNotionPylonSlack
Reposted 20 Days AgoSaved
Hybrid
San Francisco, CA, USA
115K-145K Annually
Senior level
115K-145K Annually
Senior level
Artificial Intelligence • Consumer Web • Wearables
As a Senior Technical Account Manager, you will manage enterprise customer accounts, lead onboarding, ensure product impact, and drive strategic partnerships.
Top Skills: AICustomer MetricsRoi ReportingVoice Dictation Platform
Reposted 22 Days AgoSaved
In-Office
San Francisco, CA, USA
Senior level
Senior level
Artificial Intelligence • Consumer Web • Wearables
Lead recruitment efforts at Wispr, scaling engineering and machine learning teams, defining talent brand, managing candidate relationships, and building the recruiting team.
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