Top Tech Jobs & Startup Jobs in Seattle, WA

The Senior Software Engineer will design and build infrastructure for ML model training and deployment, focusing on AWS technologies, reliability, and collaboration with ML teams.

The Sales Enablement and Training Manager will develop and implement training programs, support new hires, and enhance employee learning experiences across the organization.

The Enterprise Account Executive will drive growth in the crypto and stablecoins vertical, managing full-cycle sales, building relationships, and collaborating cross-functionally.

Lead advanced data science efforts for entity resolution and graph evaluation. Collaborate on optimization, establish data quality metrics, and drive innovation in identity solutions.

As a Data Scientist II, you'll design and implement advanced deep learning models for fraud detection and risk management while collaborating across teams and managing projects autonomously.

The Staff Data Scientist will design and optimize deep learning models for fraud detection, mentor peers, and lead data science initiatives.

The GTM Operations Analyst supports Sales and Marketing by managing opportunities, improving pipeline hygiene, and enhancing sales processes. This role enhances forecast accuracy, supports compensation operations, and drives cross-functional collaboration for effective GTM execution.

As a Senior Solution Consultant, you'll advise clients on identity verification solutions, lead technical workshops, and collaborate with sales and engineering teams to ensure client satisfaction and product alignment.

Lead end-to-end post-sales platform implementations, customize solutions, provide technical hyper-care, train clients, collaborate cross-functionally, and drive adoption and ROI for enterprise accounts.

The Senior Manager, AI Platform Engineering leads the AI/ML platform team, overseeing the entire ML lifecycle, establishing best practices, and ensuring high-quality platform capabilities. Responsibilities include strategic roadmap development, cross-team collaboration, governance, and team development to enable rapid and reliable model deployment.