Top Tech Jobs & Startup Jobs in Seattle, WA

The Sales Enablement Manager will optimize the sales journey, enhance seller productivity, and build effective training resources by leveraging data and cross-functional partnerships.

The Sales Development Manager will lead the SDR team, manage outbound strategies, recruit new members, coach performance and report on KPIs.

The Senior Manager, Software Engineering is responsible for strategic execution, technical leadership, product advocacy, team scaling, and operational excellence, requiring advanced management and strong technical skills in C# and microservices.

Lead end-to-end talent management products and systems (onboarding, manager enablement, persona-based communications). Define roadmaps, build 0->1 and 1->2 solutions, prototype with AI/tools, align cross-functional partners, and drive adoption and measurable outcomes to improve ramp, behavior, and performance.

The Data Quality Analyst will manage customer data migrations, ensuring accuracy and success while working with internal teams to facilitate the process. They will spend 60% of their time with clients and 40% on technical tasks like writing SQL queries and analyzing data structures.

Lead the GTM Systems strategy and execution, manage technology partnerships, and ensure integration and data governance while promoting AI adoption for efficiency.

As a Customer Success Manager, you will ensure customer success and satisfaction, build strong relationships, drive value and ROI, and manage account health while providing product training and engagement strategies.

The Customer Success Manager enhances customer satisfaction by managing accounts, resolving issues, guiding product utilization, and fostering long-term relationships to ensure client success with ServiceTitan.

As an Engineering Manager, you will lead software development teams, mentor engineers, guide technology decisions, and collaborate across teams to drive project success.

The Director of AI Engineering will lead multiple AI engineering teams to develop scalable AI solutions, align technical work with business strategy, and oversee advanced AI systems integration and governance.