Sanas is pioneering the future of human communication. Founded by a team of Stanford researchers and entrepreneurs with deep industry experience, Sanas has developed the world's first real-time speech AI platform capable of accent translation, noise cancellation, speech enhancement, cross-language communication, and more.
Sanas makes conversations clearer, more inclusive, and more effective, removing barriers that prevent people from being understood, regardless of accent, background noise, or native language.
Sanas is currently one of the fastest growing startups in Silicon Valley, growing from $16M to $50M ARR in 2025. The company's core business is profitable and is on track to end 2026 with >$120M ARR. Our team combines deep expertise in model innovation and systems engineering with a design-minded product engineering culture to build and ship cutting-edge AI models and experiences — entirely in-house.
Sanas is a 180-strong team, established in 2020. In this short span, we've successfully secured over $100 million in funding. Our innovation has been supported by the industry's leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you're not just adopting a product; you're investing in the future of communication.
If you’re looking to have a significant role in roadmapping and driving technical directions, if you’re looking to deploy challenging and big ideas without much overhead or slowness, if you're looking to leave your mark on an ambitious, generational mission to change how the worlds thinks about speech + AI, then Sanas is a well-suited place for you.
Responsibilities:
Lead the development of cross-platform desktop and cloud-hosted web applications that host our advanced speech AI models. This role offers an opportunity to design scalable, high performance systems for Windows, Mac, Linux, and Cloud environments, and lead groundbreaking work in self-supervised learning, large-scale pretraining, language processing, and multimodal architecture.
Requirements:
- Bachelor’s in Computer Science, Electrical Engineering, or a related field with a focus on Machine Learning, Deep Learning, Natural Language Processing, or Speech Processing and 2 years of experience as a Software Engineer, Software Development Engineer, Senior Software Engineer, Senior Software Developer, or related
- Must also possess: 2 years of professional software development experience building complex, high-performance applications, especially those with real-time or near-real-time capabilities
- 2 years of experience advancing accessibility and assistive technologies, with a focus on user-centric design for diverse user groups
- 2 years of experience with cloud-based AI platforms (e.g., AWS, GCP, Azure), including deploying and managing machine learning models
- 1 year of hands-on experience developing and deploying large-scale models in at least two of the following areas: Speech-to-text (ASR), Text-to-speech (TTS), Voice conversion and speech enhancement, or Speech translation and multimodal learning
- 1 year of experience in self-supervised learning, language processing, contrastive learning, or generative modeling specifically for speech AI applications
Must successfully complete a competency-based interview.
To apply, send resume to: Email: [email protected]
Skills Required
- Bachelor's in Computer Science, Electrical Engineering, or related field with focus on Machine Learning, Deep Learning, NLP, or Speech Processing, plus 2 years of experience in software engineering roles
- 2 years of professional software development experience building complex, high-performance applications, especially real-time or near-real-time systems
- 2 years of experience advancing accessibility and assistive technologies with user-centric design for diverse user groups
- 2 years of experience with cloud-based AI platforms (e.g., AWS, GCP, Azure), including deploying and managing machine learning models
- 1 year hands-on experience developing and deploying large-scale models in at least two of: ASR, TTS, voice conversion and speech enhancement, or speech translation and multimodal learning
- 1 year of experience in self-supervised learning, language processing, contrastive learning, or generative modeling specifically for speech AI applications
- Must successfully complete a competency-based interview
What We Do
Break barriers one conversation at a time with the power of effortless real-time accent translation. Sanas' technology is designed to revolutionize communication by giving multilingual speakers a choice when it comes to how they communicate. It's a step towards empowering individuals, advancing equality, and deepening empathy. Our mission is to make lives better by expanding the horizons of what is possible with your voice.
