Top Senior Level Jobs in San Diego, CA

The Senior Capture Manager leads capture efforts for key opportunities, develops strategies, coordinates teams, and manages budgets to win complex programs in the defense sector.

Lead strategic partnerships with US banks, owning relationship strategy and commercial outcomes. Structure institutional partnerships and navigate regulatory frameworks for digital assets and payment solutions.

The Manager, Trust Bank Operations & Strategy will develop operational strategies, facilitate communication, and coordinate strategic initiatives across trust entities while ensuring compliance and efficiency.

The Sr. People Scientist will evaluate ServiceNow's learning ecosystem, applying research methods and analytics to drive program success and inform business decisions.

Manage client portfolios and data management projects. Lead teams, provide consulting solutions, and ensure project delivery while mentoring staff.

As a Principal Customer Success Manager, you will provide strategic consulting for Mid-market customers, focusing on relationship management, program execution, and driving customer growth through Klaviyo's platform.

The Enterprise Account Executive generates new business sales in the West region through account planning, prospecting, and strategic partnerships, managing customer relationships, and ensuring satisfaction.

Director responsible for driving business development in loyalty consulting, managing client relationships, and collaborating with internal teams to enhance services for financial institutions.

The Lead Software Engineer will design, implement, and test software for advanced data communications and networking solutions, mentor junior engineers, and lead technical discussions in a fast-paced environment.

As a Principal Engineer, you will enhance chip design techniques, develop implementation methodologies, analyze design efficiency, and support design teams to optimize ARM's IP across multiple divisions.

The role involves leveraging data analytics and AI techniques to support client needs, developing models, managing data teams, and building AI solutions. Key responsibilities include data processing, client collaboration, and presenting insights.