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Inworld is a research lab of top researchers and engineers, building the world’s top-ranked realtime voice models. Today our models are the #1 ranked realtime voice models in the world. They are used to power the largest consumer-facing AI applications available, across categories like health, fitness, learning, therapy, companions, customer experience and media; representing 100s of millions of end users. Our work spans areas like research and development of state-of-the-art models, optimizing realtime inference, and creating best-in-class APIs and products that allow developers to engage their users. We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn’s Top 10 Startups in the USA.
Job Responsibility
Drive product vision and strategy for Inworld’s products to enable the future of consumer scale AI applications
Get hands on with code, both manually and with AI to not only develop prototypes but ship new production features and products in collaboration with engineering
Translate complex AI capabilities and technical constraints into clear, developer friendly product experiences
Work closely with C-level executives and industry leaders to align our product vision with business goals
Partner with AI researchers and engineers to bridge technical innovation with real-world developer needs
Synthesize partner and ecosystem feedback into clear product requirements and a prioritized roadmap, leading pre- and post-launch execution
Requirements
BA/BS degree or higher in Computer Science, Engineering, or a similar technical field
6+ years of product management experience and an exceptional track record of building 0→1 developer products in high growth environments
Excitement about building the default infrastructure for real-time AI at consumer scale
Comfort owning outcomes rather than just roadmaps, with strong product judgment in ambiguous problem spaces
Founder level mindset with the ability to spot gaps, propose solutions, and move work forward without waiting for direction
Hands-on builder
A passion for learning and staying up-to-date with the latest advancements in AI and its applications