
SaaS • Marketing • Technology
Speechify is a company that offers a comprehensive digital connections platform. They provide tools such as URL shorteners, QR code generators, analytics, and mobile-optimized landing pages. The platform is designed to help businesses enhance their digital engagement with customers through seamless link management and trackable brand connections. Speechify caters to various industries including retail, consumer packaged goods, hospitality, media and entertainment, technology, healthcare, insurance, financial services, and education.
- employees
☁️ SaaS
3 days ago

SaaS • Marketing • Technology
Speechify is a company that offers a comprehensive digital connections platform. They provide tools such as URL shorteners, QR code generators, analytics, and mobile-optimized landing pages. The platform is designed to help businesses enhance their digital engagement with customers through seamless link management and trackable brand connections. Speechify caters to various industries including retail, consumer packaged goods, hospitality, media and entertainment, technology, healthcare, insurance, financial services, and education.
- employees
☁️ SaaS
• Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases • Deploy and operate the core ML inference workloads for our AI Voices serving pipeline • Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models • Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues
• Experience shipping Python-based services • Experience being responsible for the successful operation of a critical production service • Experience with public cloud environments, GCP preferred • Experience with Infrastructure such as Code, Docker, and containerized deployments. • Preferred: Experience deploying high-availability applications on Kubernetes. • Preferred: Experience deploying ML models to production
• A dynamic environment where your contributions shape the company and its products • A team that values innovation, intuition, and drive • Autonomy, fostering focus and creativity • The opportunity to have a significant impact in a revolutionary industry • Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture • The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more • An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain
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