Top Tech Jobs & Startup Jobs in Seattle, WA

The role involves engaging with large enterprise customers, managing strategic accounts, building relationships, and driving sales of Salesforce's CRM products in the Tech and Media sectors.

Responsible for innovating and maintaining distributed systems for cloud infrastructure, focusing on automation tools, debugging, and developing resilient services while ensuring high availability and performance.

The Lead AI Engineer will develop AI and ML systems with a focus on intelligent decision-making and data pipelines to improve agent performance and continuous learning.

Produce developer- and admin-focused documentation for Commerce Cloud: docs, tutorials, API references, in-app help, release notes, and videos. Research complex technical topics, collaborate cross-functionally, maintain and update content, drive content strategy, improve UX, and incorporate user feedback.

Lead and coach an Enablement Engineering team to drive technical enablement across Technology & Products. Set vision and roadmap, plan priorities, develop engineers, and deliver live and virtual training that makes complex AI and platform concepts actionable for technical audiences.

Design and develop resilient distributed systems, deliver cloud automation frameworks, and resolve complex technical issues. Requires backend software experience and knowledge of multiple programming languages.

The Solution Engineer collaborates with clients to design and demonstrate Salesforce solutions that drive business success, leveraging technical and sales skills to solve complex problems.

The Sr. Manager will lead strategic acquisition integration efforts, manage change priorities, and drive program performance with cross-functional teams while navigating ambiguity and fostering high-performance cultures.

The Senior Manager, Revenue oversees M&A technical revenue recognition, ensuring compliance with ASC 606, while collaborating across departments and managing audit processes.

Design, build, and operate enterprise Master Data Management (MDM) systems including entity resolution, golden record lifecycle, hierarchy processing, and integrations. Develop AI-powered developer tools and automation, implement MuleSoft/Airflow/API/CDC pipelines, ensure data quality and observability, troubleshoot production issues, and collaborate across global teams. LMTS adds architecture, technical strategy, and cross-functional engineering leadership.