Top Tech Jobs & Startup Jobs in Seattle, WA

The Software Engineer II will develop optimization tools for advertising campaigns, enhance machine learning models, and improve bidding systems for real-time performance.

Design and build omnichannel advertising systems, integrate team capabilities, mentor engineers, and handle end-to-end project ownership.

Source and engage top technical talent through customized strategies, market research, and personalized outreach. Partner with recruiters and hiring managers, maintain ATS/CRM data, deliver pipeline updates and market intelligence, leverage AI-enabled tools and automation, and build talent maps for critical skills to support hiring for software, ML/AI, and data engineering roles.

The Senior Software Engineer will design and build data-focused products, engage in system-level optimizations, and contribute to distributed systems and machine learning for high-performance computing.

Lead strategic relationships and growth for The Trade Desk's largest travel clients. Drive joint business plans with global teams, own commercial negotiations and RFP responses, coordinate APAC/EMEA account efforts, influence product roadmap from client needs, and close strategic revenue opportunities while collaborating with product, marketing, and trading teams.

The Solutions Architect for Anaplan leads design and deployment of Anaplan models, ensuring integration, user experience, and managing project timelines across various business functions.

The Senior Software Engineer - Data Engineer will design, build, and operate scalable ETL/ELT pipelines, manage data quality, and collaborate with teams to provide robust enterprise data solutions.

Design, build, and operate the API Platform for a Smart TV OS: own API design, identity and access (OAuth/OIDC, device/session/entitlement), partner self-serve, observability/SLOs, rollout/migration patterns, and the shared platform used by other Ventura teams. Lead production reliability, on-call, and incident response while mentoring engineers and driving architecture and developer-experience standards.

Design, build, and deploy AI agentic systems and RAG applications that integrate LLMs with enterprise data and tools. Enable company-wide adoption of Copilot and Claude, deliver conversational agents, ensure performance via testing and monitoring, collaborate with stakeholders, and mentor teammates to drive measurable business value.

Design, build, and deploy enterprise AI solutions and agentic systems integrating LLMs with company data and workflows. Develop RAG applications, conversational agents, and Copilot/Claude-based agents; productionize systems with CI/CD, monitoring, and vector DB retrieval. Collaborate with stakeholders, measure impact, and mentor teammates.