Senior Product Designer, Mobile
Own the observability and lifecycle management of AI features across the organization. Build tools and infrastructure to enable teams to develop, monitor, and optimize LLM-powered features. Design and implement closed-loop evaluation pipelines that automatically validate prompt changes. Develop comprehensive metrics and dashboards to track LLM usage including cost per feature, token patterns, and latency. Create systems that tie user feedback to specific prompts and LLM calls. Establish best practices and processes for the full lifecycle of prompts including development, testing, deployment, and monitoring. Collaborate with engineering teams to ensure they have the tools and visibility needed to build high-quality AI features.
Staff Product Designer, Go Enterprise
Own the observability and lifecycle management of AI features across the organization. Build tools and infrastructure to enable teams to develop, monitor, and optimize LLM-powered features. Design and implement closed-loop evaluation pipelines that automatically validate prompt changes. Develop comprehensive metrics and dashboards to track LLM usage, including cost per feature, token patterns, and latency. Create systems that tie user feedback to specific prompts and LLM calls. Establish best practices and processes for the full lifecycle of prompts including development, testing, deployment, and monitoring. Collaborate with engineering teams across the organization to ensure they have the tools and visibility needed to build high-quality AI features.
Lead Product Designer
Advance inference efficiency end-to-end by designing and prototyping algorithms, architectures, and scheduling strategies for low-latency, high-throughput inference. Implement and maintain changes in high-performance inference engines including kernel backends, speculative decoding, quantization, and improve performance across GPU, networking, and memory layers. Unify inference with RL/post-training by designing and operating RL and post-training pipelines that optimize inference costs, making these workloads more efficient through inference-aware training loops and related techniques. Use pipelines to train, evaluate, and iterate on frontier models. Co-design algorithms and infrastructure to tightly couple objectives, rollout collection, and evaluation with efficient inference and quickly identify bottlenecks across training engine, inference engine, data pipeline, and user-facing layers. Run experiments to understand trade-offs between model quality, latency, throughput, and cost, and use insights to inform model, RL, and system design. Own critical production-scale systems by profiling, debugging, and optimizing inference and post-training services under real workloads, driving roadmap items requiring engine modifications, and establishing metrics, benchmarks, and experimentation frameworks. Provide technical leadership by setting direction for cross-team efforts and mentoring engineers and researchers on full-stack ML systems and performance engineering.
Product Designer
Build AI models and features that impact Loop's business by training, evaluating, and deploying machine learning models, particularly focusing on document extraction and understanding using multimodal large language models (LLMs). Utilize and orchestrate API LLM models to solve business problems, and handle backend engineering tasks including building atomic tasks and general servicing or automation work. Work on projects such as scaling foundation models for document extraction to multiple languages and developing AI agents for auditing freight invoices and ingesting long contracts. Collaborate with cross-functional teams and maintain high accuracy and reliability standards in AI model training and inference scaling.
Product Designer, GenAI
You will own client leadership and growth, ensuring smooth engagement delivery and value for enterprise customers, and manage delivery across multiple workstreams, maintaining quality and timelines. You will also identify account expansion opportunities and collaborate cross-functionally to solve problems and inform product strategy.
Director, Brand and Creative
Lead the brand’s creative direction at Jasper, managing a team of designers, collaborating with Marketing, and shaping how Jasper shows up in the world. Translate brand positioning into compelling creative expressions across campaigns, digital assets, video, and events, while driving innovation in creative workflows using AI.
Product Designer - Cell Experience
Lead the full Cell Experience design, owning both digital and physical user interfaces for robotic cells. Collaborate with cross-functional teams to ensure intuitive, coherent, and reliable interactions for users in industrial environments.
AI Creative Designer
The AI Creative Designer turns creative briefs into high-quality videos and static assets using generative AI tools and light editing software, operating defined segments of a creative pipeline and overseeing sub-campaigns with limited guidance. They enable marketing promotions, deliver internal and client trainings, ensure compliance, and drive continuous creative process improvements.
Design Engineer
The Design Engineer will own the design system across Figma and code (React, Tailwind), shaping the look, feel, and user experience of Antimetal's platform. They will ship pixel-perfect interfaces, define new interaction patterns for AI-driven tools, and collaborate closely with design and engineering to bring ideas from sketches to production.
Product Designer
Shape the overall user experience and visual identity of Metaview's platform and brand, collaborating closely with engineering, product, marketing, and founders. Own end-to-end product design, create and evolve design systems, and help define agentic features leveraging AI for recruiting workflows.
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