Top Tech Jobs & Startup Jobs in Seattle, WA

Lead product strategy and roadmap for Qualtrics' Core AI Platform, building foundational capabilities (ontologies, agents, model infra, retrieval, observability, safety). Partner cross-functionally to define architecture, prioritize investments, drive implementation, and measure platform adoption, reliability, and AI quality for enterprise use.

Lead design and development of scalable AI architectures and frameworks, collaborate with research and product teams, deploy and optimize ML/LLM systems in production, guide ML platform strategy, perform code reviews, mentor engineers, and evaluate emerging AI technologies for business impact.

Lead design and implementation of security frameworks for AI systems, performing threat modeling, adversarial defense, secure MLOps, architecture reviews (including MCP and agentic systems), authoring standards and reference architectures, managing large AI security projects, and mentoring cross-functional teams to strengthen AI security posture.

Lead the Locations product team for CX, owning strategy and execution for location-based frontline products. Coach and grow PMs, collaborate cross-functionally, engage customers, apply AI and continuous feedback loops to prototype and ship solutions, and drive scaling from early-stage to broad adoption across retail, QSR, and hospitality verticals.

Lead early-stage product incubation: run structured discovery, customer interviews, market analysis, and fast experiments to validate or kill concepts. Collaborate with a small pod (design, engineering, data), define stage-specific success criteria, synthesize signals into clear recommendations, and present findings to leadership. Move quickly, prioritize learning over polished deliverables, and de-risk new business ideas.

Lead research and productization of ML/AI solutions across Qualtrics: design, train, fine-tune, evaluate, and deploy generative and agentic models. Collaborate with product and engineering, mentor junior scientists, implement evaluation-driven development, and ensure production reliability, scalability, and observability.

Design, implement, and productionize scalable ML models and microservices; build and maintain data pipelines; prototype solutions, participate in architecture and design reviews, and collaborate with cross-functional teams to deliver ML-powered product features.

Lead and scale a platform security engineering team to protect product, cloud, and infrastructure. Build security strategy, implement vulnerability and access management, enforce data protection, and collaborate with product units to reduce risk and ensure secure service delivery.

Research, develop, and productize scalable AI/ML and GenAI solutions (LLMs, NLP, agentic systems). Build, evaluate, optimize, and deploy deep learning models, collaborate with engineers and product teams, publish research, and contribute to Conversational AI and data science roadmaps.

Design and prototype AI-native, agentic user experiences by delivering coded prototypes (React/TypeScript), leveraging LLMs and generative tools, and partnering with product and engineering to ship scalable, data-driven AI features and design system primitives across the platform.