Top Tech Jobs & Startup Jobs in Seattle, WA

Lead the AI Foundations team, overseeing ML infrastructure, AI agent lifecycle management, and ensuring reliability and scalability for trusted AI systems.

Lead design and execution of enterprise-scale executive talent and succession strategies for SVP+ leaders, focusing on AI-driven succession planning, leadership pipeline, retention, assessment, and stakeholder partnership.

Serve as a technical, customer-facing subject-matter expert for Data Cloud and Agentforce, advising Premier and Signature customers to accelerate adoption, run tailored engagements, build stakeholder relationships, mentor peers, and translate technical concepts into measurable business value and ROI.

Lead the Product Strategy team at Salesforce by defining product strategies, analyzing performance, supporting M&A processes, and conducting market research.

The Customer Success Manager ensures high-value customer satisfaction, aligning technical and business needs while driving MuleSoft adoption and managing stakeholder relationships.

The Product Marketing Manager will lead AI product launches, create compelling marketing materials, and collaborate cross-functionally to drive growth for MuleSoft's product portfolio.

Lead architecture and delivery of Agentforce integrations for Supply Chain/Manufacturing, designing API-led connectivity (MuleSoft), Data360 pipelines, secure data flows between Agentforce and ERP/PLM/CRM, govern ALM and orchestration, advise clients and delivery teams, and enable generative/agentic AI use cases.

The Recruiting Optimization Intern supports recruiting processes, manages documentation, assists in technology stack management, and collaborates cross-functionally. The intern will gain exposure to recruiting systems and enhance operation initiatives.

Serve as a trusted Data Cloud and Agentforce expert, advising Premier customers to drive adoption and ROI. Deliver proactive and reactive 1:1 coaching, run tailored engagements, translate technical concepts into business value, mentor peers, and collaborate with cross-functional teams to optimize product usage and outcomes.

The Principal Data Modeler will design and manage data models for the Marketing Data Warehouse to support data-driven marketing decisions and optimize data architecture.