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The Technical Support Engineer will handle a high volume of customer support tickets, ensuring fast resolution while maintaining professional communication. Duties include documenting escalations, improving efficiency, and identifying recurring issues. The role requires a strong work ethic, resilience, and teamwork in a fast-paced environment.

Lead Wispr's enterprise engineering: own architecture and roadmap, build enterprise-readiness (SSO/SAML, SCIM, RBAC, audit logging, data residency, compliance), hire and coach engineers, create tooling for Sales/CS, partner with PM and Head of Sales, and remain hands-on to scale enterprise revenue.

As a Founding Account Executive, you will establish revenue strategies, convert users to enterprise clients, and collaborate with technical teams to drive adoption of Wispr Flow's voice dictation platform.

Lead brand and growth marketing design for product launches and campaigns. Develop campaign concepts, high-converting landing pages, paid ads, email, and social creative. Storyboard motion content, collaborate with developers and marketers, iterate based on performance, and extend the brand system while maintaining craft and conversion focus.

The Product Lead at Wispr will drive product strategy and execution for new features, manage experiments, and collaborate cross-functionally, emphasizing user-centric design and data-driven insights.

Manage and optimize digital paid search channels like Google and Apple Search Ads to drive app installations and revenue growth while managing substantial ad budgets and presenting performance insights to leadership.

Lead Wispr's talent org and personally source and close senior hires across research, engineering, sales, marketing and G&A. Build and manage a high-performing recruiting team, instrument hiring pipelines, coach hiring managers, shape employer brand, and design competitive offers to scale headcount from ~80 to 250 within the year.

Lead and build the end-to-end communications function for an AI-native company: develop narrative and message architecture, run media and social strategy, shape executive voice, embed comms in product and investor launches, manage issues and competitive intelligence, leverage AI to optimize PR workflows, and hire and scale a communications team.

The ML Scientist will develop a voice interface, personalize speech models, and handle LLMs for high-demand applications, using advanced ML techniques.

As a ML Engineer at Wispr, you will design features for a voice interface, optimize ML inference, and scale personalization of speech models.