Top Tech Jobs & Startup Jobs in Seattle, WA

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.

Lead and grow an enterprise data modeling practice to design, implement, and govern high-performance data models across a hybrid-cloud ecosystem (Salesforce Data Cloud, Snowflake, AWS S3, MDM, graph and vector databases). Partner with Data Science, Automation, and Application teams to translate requirements into optimal logical and physical models and establish modeling standards.

The Program/Project Management Senior Lead will partner with leadership to analyze data, support strategy development, and drive execution of projects, while collaborating cross-functionally.

Senior HR leaderpartnering with Product and Engineering executives to shape people strategy, organizational design, talent planning, and leadership development across Data Foundations. Lead a team of ESBPs, drive change management, use people analytics to inform decisions, and ensure consistent, scalable people practices supporting platform and AI-driven growth.

The Senior Customer Success Manager drives business impact for complex customers, focusing on adoption, goals, and delivering value from Salesforce investments, while integrating various products and processes.

The Senior Manager will oversee business operations, support the SVP, manage executive communications, and drive global initiatives within the organization.

The BI Data Engineer will develop and optimize data pipelines, ensure data accuracy, analyze infrastructure usage, and collaborate with teams on data strategy and budget planning.

The Director, Customer Success Management leads a team to enhance customer experiences in Life Sciences through strategic partnerships, addressing issues, and ensuring team Excellence. They manage renewals, coordinate resources, and align customer allocations while monitoring performance metrics and fostering talent development.

Design and develop scalable ML infrastructure to support training and inference, optimizing distributed systems, and maintaining operational excellence. Collaborate with various teams to enhance AI capabilities and ensure reliability and performance.