Top Tech Jobs & Startup Jobs in Seattle, WA

Design and build petabyte-scale multimodal data pipelines and infrastructure (text, audio, images, video). Own and maintain systems like Spark, Ray, and vector databases, partner with pre/post-training teams to improve data recipes through experimentation, and support large-scale dataset storage and processing for AI model training.

Provide sales operations leadership for US Commercial Industries by delivering data-driven insights, coaching sales managers, enforcing sales process discipline, streamlining reporting, removing operational roadblocks, and partnering cross-functionally to accelerate growth and seller effectiveness.

Lead cross-functional technical programs to scale internal AI, automation, and platform solutions. Own operational continuity, manage backlogs, troubleshoot and validate releases, define MVPs, create runbooks and support models, enable adoption, and partner with builders and stakeholders to ensure secure, documented, and sustainable production readiness and continuous improvement.

Manage global incentive compensation execution for sellers: approve payouts and adjustments, ensure data integrity and compliance, troubleshoot systems, produce reporting and insights, maintain operational playbooks, support integrations and change management, drive process simplification and operational efficiency, and communicate updates to stakeholders and leadership.

Design and implement algorithms, model architectures, data mixtures, and scaling laws for large-scale foundation model training. Run and oversee large distributed training experiments, collaborate with infrastructure, data, and multimodality teams, and apply rigorous, data-driven ablations to drive flagship training runs and system improvements.

Design and develop multimodal foundation-model algorithms and architectures, run large-scale experiments, improve training and deployment efficiency, build datasets and pipelines, perform rigorous evaluation and ablation studies, and collaborate with infrastructure, data, and product teams to responsibly advance AI systems.

Customer-facing Cloud Solution Architect driving AI transformation with Copilot Chat, Agents, and M365 Copilot. Advise customers, design architectures, enable adoption and ROI, perform prompt engineering and agent building, partner with sales and technical teams, and create/reuse IP to accelerate AI adoption and sustained customer success.

Lead Americas territory design end-to-end: set principles, run annual planning, manage in-year exceptions, own Red Carpet transitions, ensure governance and system alignment, partner across finance/HR/WW teams, and modernize processes and tooling to scale territory coverage.

Design and build compute orchestration and scheduling on Kubernetes and Ray for large-scale AI model training and inference. Tune and benchmark pretraining software on Nvidia GB200 and AMD MIxxx GPU clusters, improve cluster efficiency, enable observability and reliability, collaborate with research and framework teams, and influence architecture and roadmap for Copilot and foundational models.

Lead a cross-discipline engineering team to deliver cloud-based, AI-forward solutions; coach and grow software engineers, technical program managers, and data scientists; own portfolio delivery and operational excellence; contribute reusable patterns, open-source assets, and responsible AI practices while occasionally acting as a player‑coach on customer engagements.