UX Research Manager - AI & Developer Platforms ARM LtdUX Research Manager - AI & Developer PlatformsSeattle, WA$207,000–$281,200 / yearYou will partner across engineering, product, design, go-to-market, ecosystem, business teams and leadership to ensure developer and partner insight shapes platform priorities, product strategy and externally credible developer experiences. We will only consider candidates who submit a cover letter and portfolio, management case studies, or an equivalent summary of work showing research leadership, people management, stakeholder influence, external research impact and measurable product outcomes.
Sr. Applied Scientist, Prime Video - Personalization and Discovery Science AmazonSr. Applied Scientist, Prime Video - Personalization and Discovery ScienceSeattle, WABasic Qualifications - PhD, or Master's degree and 6+ years of applied research experience - 5+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+.
Senior Product Marketing Manager, SUNK CoreWeave IncSenior Product Marketing Manager, SUNKWA$161,000–$237,000 / yearIn this role, you will develop clear, differentiated positioning and messaging that presents SUNK as the best research cluster for AI training-a researcher-first system that preserves the Slurm workflows teams rely on while reducing the complexity of operating and maintaining large training environments. You will translate SUNK's capabilities, including high-performance and topology-aware scheduling, automated cluster health management through Mission Control, and deep operational visibility, into narratives that resonate with AI research leaders, platform teams, and technical buyers.