Tech Stack
Job Description, Responsibilities & Requirements
About the Position
Product Lead - USA
Mountain View, California, USA
About Inworld
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.
Your Impact
You will lead the development of Inworld’s realtime models and products to empower developers to effortlessly build the next generation of consumer-facing AI applications. This role is both strategic and hands-on. You will set direction, make hard prioritization decisions, and personally ensure we ship products developers love and trust. You will collaborate with AI researchers and engineers to turn cutting-edge AI capabilities into reliable and scalable developer experiences. Your work will directly shape how the world builds and deploys real-time AI.
Responsibilities
- 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. This includes the multimodal models, pipelines, and tools needed to power the next generation of AI applications
- 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. You use AI coding tools to navigate the codebase, mock up features, run experiments, and pull your own data
- A passion for learning and staying up-to-date with the latest advancements in AI and its applications
We Offer
- Competitive salary: $230,000 - $320,000 + bonus + equity + benefits
- In-office location: Mountain View, California, United States. Candidates must be based in the SF Bay Area or willing to relocate (you will be working on-site in our South Bay office a few days a week).
About the Company
Inworld is a research lab of top researchers and engineers, building the world’s top-ranked realtime voice models. We are dedicated to pushing the boundaries of AI technology to create the most advanced and reliable voice models available. Our mission is to empower developers to build the next generation of consumer-facing AI applications.