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Own paid acquisition across paid search, paid social, ABM, retargeting, display, and developer-focused awareness campaigns. Optimize the self-serve funnel from click through activation and sales handoff, create campaign creative and landing pages, manage developer-native placements, and build reporting tied to pipeline and revenue. Partner with marketing, sales, and GTM engineering to target accounts, coordinate outreach, and measure multi-touch attribution, brand lift, and acquisition efficiency.

Own Inworld’s product positioning and messaging for realtime voice AI. Translate engineering releases into sales language, maintain proof libraries and competitive comparisons, create benchmarks and technical content, and build repeatable product launch motions. Partner closely with engineering, research, sales, product, and developer relations while writing for technical audiences and engaging directly with customers. The role requires on-site work in the South Bay several days per week.

The Senior/Lead Research Scientist will develop and evaluate multimodal models, conduct experiments, publish findings, and contribute to impactful AI projects.

The Senior/Lead Research Scientist will develop real-time multimodal models, conduct full-stack research, and publish findings, working with a flat structure focused on impactful, ambiguous problems.

As a Staff/Principal Platform Engineer, you will build, secure, and scale AI products, manage cloud infrastructure, integrate CI/CD pipelines, and enhance developer workflows with automated tooling.

Seeking a Staff or Principal Research Scientist to develop cutting-edge AI models and systems, with a strong emphasis on experimental design and full-stack research ownership.

Lead product strategy and execution for Inworld's realtime voice and multimodal AI products. Drive 0->1 developer experiences, translate research into scalable APIs, build prototypes and production features with engineering, synthesize partner feedback into roadmaps, and work with executives and researchers to launch consumer-scale realtime AI capabilities.

Seeking a Senior/Lead Machine Learning Engineer with expertise in inference optimization, model acceleration, and high-performance systems for developing real-time multimodal models.

This role involves optimizing inference performance, managing high-performance systems, scaling models, and full-cycle ownership from research to production in a fast-paced environment.

As a Staff/Principal Machine Learning Engineer, you will optimize and scale multimodal inference systems, ensuring high performance and reliability in production environments.