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Lead technical product marketing for Sanas' speech AI products by defining positioning, GTM strategy, launches, and enablement. Translate complex model, SDK, and API capabilities into clear value narratives, produce technical collateral and enablement for sales and developers, run competitive analysis and win/loss reviews, and partner cross-functionally to drive adoption and retention.

The Research Engineer will enhance translation quality, develop neural models, lead simultaneous interpretation research, and guide the team on machine translation innovation at Sanas.

The Staff+ Developer Platform Engineer will build and own developer-facing platforms, including SDKs and APIs, ensuring a great developer experience.

Design end-to-end user experiences for real-time speech AI products across web, desktop, and mobile. Own discovery, high-fidelity design, prototyping, and delivery; evolve design systems; conduct user research and usability testing; collaborate closely with PMs, engineers, researchers, and marketing to translate complex audio/AI concepts into simple, accessible interfaces.

The Principal Data Engineer will design and implement data infrastructure for Voice AI products, lead a team of data engineers, and optimize data systems for machine learning. Responsibilities include building data pipelines, driving infrastructure strategy, and collaborating with cross-functional teams.

Qualify and engage inbound and outbound leads through email, phone, and LinkedIn; schedule discovery calls for Account Executives; maintain CRM records; support ABM and demand-generation efforts; provide feedback to Marketing and consistently hit activity and pipeline goals.

Lead the design and implementation of Machine Learning infrastructure for Voice AI products. Shape technical vision, mentor engineers, and collaborate on innovation.

Lead development of cross-platform desktop and cloud-hosted web applications that run advanced speech AI models. Design scalable, high-performance systems for Windows, Mac, Linux, and cloud; drive self-supervised learning, large-scale pretraining, language processing, and multimodal architecture.