
The only AI framework powering massive consumer applications. Adapt instantly to your users, continuously improve quality with scale, maintain real-time responsiveness, and reduce per user costs as…

The only AI framework powering massive consumer applications. Adapt instantly to your users, continuously improve quality with scale, maintain real-time responsiveness, and reduce per user costs as…
Founded: 2021
Core product: Realtime voice and character AI platform (TTS, STT, speech-to-speech, model routing, Realtime API)
Key verticals: Consumer apps, enterprise support & sales, interactive media/games
Notable partners/customers: Xbox, Ubisoft, NVIDIA, NetEase Games, Niantic, LG, Logitech Streamlabs
Total disclosed funding: >$100M (reports of $117M–$125M)
Prominent investor: Lightspeed Venture Partners
Realtime conversational and voice AI for interactive characters, companion apps, games, and enterprise support
2021
Software Development
>50000000
August 2023 tranche reported as >$50M and brought total disclosed funding to over $100M; post-money valuation reported at about $500M
“Backed by a syndicate including Lightspeed Venture Partners, Section 32, Kleiner Perkins, Founders Fund, Microsoft M12, Intel Capital, Bitkraft, Stanford and others”
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About Inworld Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second.
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.
About The Role We’re looking for a Staff Data Engineer to own and evolve our analytics and data infrastructure. This is a high-impact, individual contributor role at the intersection of product and engineering where you’ll be responsible not just for building pipelines, but for driving business outcomes from the data.
This is the first time we’re hiring at this level for data engineering, so we need someone who thrives in ambiguity, takes ownership, and can operate independently from day one. You’ll have the opportunity to shape our data architecture and set the technical direction for how we turn data into decisions by identifying what’s working, what’s not, and driving the actions that move the business forward.
What You’ll Do
What You’ll Bring
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).
The US base salary range for this full-time position is $200,000 - $290,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future.
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