Top Tech Jobs & Startup Jobs in Seattle, WA

The Senior Manager, Sales Product Enablement leads a team to develop and execute sales enablement strategies, improving sales performance through training, collaboration, and measurement of program outcomes.

The Payments Manager oversees the eCommerce Payments Program Management team, ensuring effective delivery of billing and payments initiatives while managing relationships across multiple departments and vendors.

Lead vision and roadmap for Zillow Rentals' support tech stack, unifying Salesforce/Zendesk with AI/LLM agents. Drive buy-vs-build decisions, onboarding frameworks, KPIs (cost-per-resolution, CSAT, AI accuracy), and cross-functional alignment to improve operational efficiency and partner satisfaction.

Design and oversee immersive 3D and rich media experiences, collaborating with cross-functional teams to integrate AI and computer vision into user-friendly products, while mentoring other designers.

The HR Manager will partner with business leaders to implement HR strategies, manage employee relations, oversee talent development, and enhance employee experience through data-driven decisions.

Lead new business opportunities for major brand clients, manage revenue growth, develop long-term account plans, and collaborate with internal teams to optimize sales processes.

The Sales Operations Manager designs and manages sales compensation plans, ensuring data accuracy and providing analytical support to sales initiatives while collaborating cross-functionally.

The Principal Product Manager for Platform Engineering at Zillow will drive product vision, manage the platform roadmap, collaborate with teams, and enhance developer experience.

The Principal Machine Learning Engineer will develop multimodal technologies, mentor engineers, and drive product innovation in agentic AI systems.

The role involves processing large datasets to generate housing market indicators. Responsibilities include building scalable data products, optimizing pipelines, and collaborating with data scientists and stakeholders on machine learning model development.