Top Tech Jobs & Startup Jobs in Seattle, WA

Supports quoting and order management for assigned accounts, responds to customer requests, manages product and service configurations, tracks orders, prepares reports, leverages partner promotions, identifies upsell opportunities, and supports sales operations processes. The role also requires account and OEM product knowledge, collaboration with sales teams, and mentoring or onboarding new employees.

Design, architect, and build batch, real-time, and event-driven data platforms and streaming applications. Integrate monitoring and IT operations tools, create data schemas and models, mentor peers, engage in pre-sales, and provide technical leadership and documentation for enterprise data solutions.

The Senior Project Manager will lead large-scale infrastructure projects, ensuring delivery aligns with strategic objectives, coordinating with stakeholders, and utilizing project management tools for efficiency.

The AI Services Consultant develops and positions AI consulting engagements, collaborates with regional teams, and scoping services, ensuring successful transitions from sales to delivery.

The AI Solutions Architect drives pre-sales efforts by designing AI architectures, leading technical discovery sessions, and coordinating proof-of-concept engagements to meet customer requirements.

Work on consulting teams to analyze business problems, develop data-driven and AI-enabled solutions, create visuals and documentation, present recommendations, and support implementation across client engagements.

The AI Solutions Executive generates, qualifies, and closes AI pipeline sales, collaborating with field teams to deliver tailored solutions and proposals.

Owns intake and triage for marketing technology requests, learns marketing tools and data flows, and designs automation workflows with engineers and data scientists. Builds solutions using internal frameworks and low-code tools, tests variable AI outputs, guides user acceptance testing, documents processes, enables marketing teams, and measures business impact. The role connects marketing needs with agentic workflows, integrations, custom applications, and ML-based analysis.

Serves as a senior data center engineer delivering hands-on infrastructure projects for enterprise customers. Installs and integrates complex hardware and software systems, including VMware, storage, networking, hyper-converged infrastructure, data protection, and cloud solutions. Manages project engagements, advises customers, coordinates with internal teams, works under tight schedules, and builds customer relationships. The position may require travel up to 75% and involves mentoring less experienced personnel.

Architect and deliver high-scale NVIDIA GPU compute environments for enterprise AI workloads. Lead bare-metal provisioning, cluster management, operating-system hardening, scheduler and workload configuration, monitoring, performance validation, and day-two operations. Serve as a customer-facing technical authority, supporting presales discovery, architecture, bills of materials, estimation, and client workshops. Design repeatable AI infrastructure across DGX, HGX, MGX, NVL72, and Cisco AI POD platforms.