Jobs at Featherless AI

Founding GTM rep responsible for building and qualifying pipeline across enterprises and AI startups, managing inbound requests and outreach automations, re-engaging sign-ups, coordinating discovery calls with founders/CRO, tracking CRM and pipeline metrics, attending events, and proposing GTM experiments and partnerships.

The Business Development Rep will qualify clients and manage outreach in AI Cloud sales, engaging technical audiences and developing partnerships.

The Account Executive will manage the full sales cycle for enterprise and scale-up accounts, building relationships with technical buyers and collaborating closely with senior leadership to drive revenue and shape sales strategies.

Create and maintain product documentation, blog posts, website copy, and walkthrough videos. Build and manage a content calendar, identify growth opportunities, use internal tools and data to optimize content, and collaborate with product and engineering to translate technical concepts into clear, growth-focused content.

Design and maintain multilingual datasets, develop data pipelines, implement quality filters, and analyze dataset biases while collaborating with researchers.

As an AI Researcher, you will optimize inference performance for large-scale machine learning models by improving latency, throughput, and cost efficiency through various model and systems-level optimizations.

The AI Researcher will develop training optimization techniques, improve large model training efficiency, run experiments and publish research findings.

The ML Engineer will optimize large-scale model training pipelines, improve distributed training strategies, build robust infrastructure, and collaborate on training techniques and performance metrics.

Optimize inference latency and throughput for large-scale ML models, collaborating on performance tuning, and building inference-serving systems.

The AI Researcher will develop and evaluate model distillation techniques, analyze trade-offs, run experiments, publish research, and collaborate for production deployment.

The AI Researcher will design and execute research on multilingual datasets, improve cross-lingual transfer in language models, and publish findings at top conferences while translating research into production improvements.

Design and implement knowledge distillation pipelines, optimize training and inference performance, and collaborate with research on production-ready ML models.