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Job Analysis:
The role of Senior AI Voice Engineer at heyLibby is focused on pioneering a voice solution that feels inherently human, pivotal to the company's mission to support small-to-midsize fitness and wellness businesses. The core purpose here is to architect and optimize the voice pipeline, ensuring high-quality and low-latency communications. Primary responsibilities include designing the voice stack, fine-tuning text-to-speech (TTS) and automatic speech recognition (ASR) models, and delivering user-friendly call features—all while ensuring system reliability and performance across various platforms. Success in this role hinges on not just technical proficiency with systems like Twilio, but also an intimate knowledge of audio processing and the nuances of human communication to create a seamless interaction experience. Candidates must be ready to tackle challenges such as optimizing latency and coordinating effectively with product and engineering teams, underscored by a culture that values fast iteration and impact-oriented results.
Company Analysis:
heyLibby operates in the nascent yet impactful AI-driven communications space, specifically targeting small-to-midsize businesses within the fitness and wellness industry. With a co-founder like Spencer Rascoff, the company is positioned as a forward-thinking player that prioritizes innovation and fast-paced growth, which inevitably translates to a dynamic work environment. The culture appears to emphasize autonomy, ownership, and a strong focus on delivering tangible results, reflecting the startup's need for high impact while maintaining a commitment to personal balance. In this context, the Senior AI Voice Engineer role not only requires scattered technical competencies but also a mindset aligned with the startup's agile and collaborative ethos. Given the early-stage nature of heyLibby, the engineer will experience substantial visibility and influence, deeply integrated with core business operations and strategic objectives, particularly as the company scales to redefine customer interactions. Furthermore, the company’s push for rapid experimentation and product delivery necessitates a candidate who thrives in ambiguity but also maintains a clear vision for achieving user-centered outcomes.