Top Tech Jobs & Startup Jobs in Seattle, WA

Lead the strategy and evolution of AI platform capabilities at Follow Up Boss, integrating AI with workflows and data while enhancing user experiences.

The Strategic Account Executive will manage a large portfolio of high-value accounts, driving enterprise business growth through a proactive sales approach and collaboration across teams. They will articulate product value to clients and guide them through complex sales cycles, achieving sales quotas.

Develop and refine forecasting models for national, regional, and local housing markets. Collaborate with scientists, economists, and engineers to process large-scale time series and panel data, apply econometric and ML methods, design validation/backtesting strategies, and deliver actionable insights to senior leaders and partners. Support model deployment and monitoring using software development best practices.

The Principal Technical Program Manager drives complex, cross-organizational data and AI programs, ensuring clarity and accountability among teams while aligning strategies with measurable outcomes.

Design, implement, monitor, and optimize scalable data pipelines and models at petabyte scale. Ensure reliability and production-grade deployments, automate repeatable processes, collaborate with product and analytics partners, mentor junior engineers, and drive engineering best practices and code quality.

Lead data science efforts for the Rentals Shopping pillar, driving strategy, modeling, experimentation, and cross-functional collaboration to improve user experience and business performance.

Lead the Zuora team in defining technical strategy, managing application analysts, and ensuring service quality and operational excellence.

Lead the development of agentic AI systems for real estate, focusing on long-horizon, supervised experiences. Architect collaborative systems and define success metrics while mentoring a small team.

Lead large cross-organizational programs that modernize and scale CRM platforms. Drive initiatives improving system reliability, performance, and implementing AI capabilities. Manage delivery, clarify goals, and influence stakeholders.

Lead the design and deployment of RL post-training systems, aligning model behavior with user value and business objectives, while mentoring applied scientists and engineers.