Top Tech Jobs & Startup Jobs in Seattle, WA

Drive territory growth by prospecting schools and organizations, developing customer relationships, managing sales pipelines, forecasting, conducting discovery calls and presentations, representing the company at events, and closing new business. The role focuses on athletic programs and educational organizations, requires accurate CRM usage, and includes meeting sales targets while expanding customer acquisition, retention, and revenue.

Design and optimize scalable, multi-tenant serverless inference infrastructure and APIs for large-scale AI workloads. Build highly available distributed services, improve GPU utilization, observability, capacity management, fault tolerance, and operational automation. Partner with platform and GPU infrastructure teams, contribute to architecture decisions, participate in on-call and incident response, and provide technical leadership and mentorship to engineers.

Own technical go-to-market for AI-native cloud products and market segments. Translate complex capabilities into narratives, build demos and code, create technical content, run launches, enable sales, monitor market/competitive signals, and engage developer communities to drive adoption, pipeline, and wins.

Own the end-to-end console experience, including navigation, information architecture, onboarding, shared surfaces, and cross-product patterns. Lead the design system as a product by managing its component library, standards, roadmap, and adoption across teams. Set product-wide quality standards, collaborate closely with engineering, mentor UI engineers, and establish a creative vision for a simple, cohesive cloud console experience.

Lead design, implementation, and lifecycle management of HSM and cryptographic infrastructure (Thales/FutureX). Create architecture, runbooks, and diagrams; drive migrations, DR, and compliance (PCI, FIPS). Troubleshoot Linux/Unix systems, OpenSSL and certificate auth, cloud KMS/HSM, and automate via Terraform. Collaborate cross-functionally on standards, participate in risk assessments, audits, and incident response, and validate AI-assisted security outputs.

Leads the vision, strategy, roadmap, lifecycle, adoption, and business growth of an enterprise AI infrastructure platform spanning on-premises, cloud, edge, and hybrid environments. Oversees inferencing capabilities, hardware investments, vendor strategy, market analysis, stakeholder alignment, risk management, and go-to-market execution. The role requires deep expertise in GPUs, high-performance computing, networking, storage, orchestration, AI Factory architectures, financial modeling, and regulated enterprise environments.

Leads vision, strategy, roadmap, execution, adoption, and growth for an enterprise AI infrastructure inferencing platform. Oversees product lifecycle, investment priorities, vendor strategy, market analysis, risk management, and business outcomes across compute, accelerators, networking, storage, and orchestration. Develops product managers, aligns engineering and business stakeholders, and guides the platform toward an enterprise-scale AI Factory while balancing performance, cost, scalability, security, compliance, and regulatory requirements.

Designs and implements enterprise security strategies for corporate infrastructure. Responsibilities include security architecture reviews, risk assessments, threat modeling, security standards and policies, security tooling, endpoint and cloud security, identity and SSO management, vulnerability management, compliance reporting, and collaboration with IT teams on migrations and integrations.

Build and maintain technical systems supporting T-Mobile’s compensation operations. Responsibilities include developing workflow platforms, AI-enabled natural-language and retrieval applications, governed data pipelines, enterprise integrations, audit trails, approval flows, and reporting capabilities. The role also diagnoses cross-system issues and translates compensation logic into scalable, auditable technical solutions while collaborating with compensation, HR technology, and business stakeholders.

Lead end-to-end onboarding for large, complex enterprise and public sector engagements focused on emerging and connected car technologies. Drive discovery, RFP support, program planning, cross-functional coordination, executive communication, risk mitigation, and transition to lifecycle support to ensure on-time, on-budget delivery and customer satisfaction.

Design, develop, deploy, and lead scalable microservices for T-Mobile’s business order management platform. Responsibilities include API development, event-driven systems, cloud-native Azure deployments, order-processing optimization, system integration, performance tuning, code reviews, and mentoring distributed engineering teams. The role requires Java, Spring Boot, REST APIs, microservices, Azure services, MongoDB, monitoring tools, and enterprise distributed-systems expertise.

Leads the design, modeling, simulation, testing, validation, and integration of fluid and thermal systems for autonomous aircraft and ground platforms. The role applies first-principles engineering, develops system and custom models, manages suppliers, supports component sourcing, and mentors engineers. It requires deep expertise in heat transfer, fluid dynamics, thermodynamics, thermal management, testing, CAD, and aerospace or defense system development.

Leads execution of an autonomous aircraft demonstration program across engineering, integration, flight test, manufacturing, and operations teams. Coordinates technical planning, subsystem integration, risk mitigation, readiness activities, technical reviews, testing, and executive reporting. Requires deep aerospace or unmanned systems experience and strong systems integration and program leadership skills.

Own data center OpEx and power planning, forecasting, budgeting, variance analysis, financial reporting, scenario modeling, and cost optimization. Build complex operational and financial models, develop dashboards, and provide actionable insights to executive leadership. Partner cross-functionally with data center operations, capacity planning, power and sustainability, and sales teams to support strategic decisions and business growth.

Serves as a technical lead for customers using CoreWeave cloud infrastructure, with emphasis on Kubernetes in high-performance computing environments. Responsibilities include designing and deploying tailored solutions, leading proofs of concept, optimizing AI/ML workloads, conducting technical reviews, advising on product strategy, collaborating with engineering teams, and representing CoreWeave at industry events.

Lead global revenue growth for Snap’s small and medium customer segments. Own retentive revenue goals, develop and scale data-driven go-to-market programs, establish strategic roadmaps, measure KPIs, and influence cross-functional teams across product, engineering, marketing, sales, operations, and analytics. Drive customer adoption, retention, and business growth through experimentation, market insights, stakeholder communication, and product collaboration.

Design and implement logging and alerting systems across endpoints, infrastructure, networks, and cloud environments. Build automation for threat hunting and incident response, investigate and triage security events, lead incident response efforts, and develop threat intelligence on advanced adversary tactics. The role also requires secure, scalable software development using Python or Go and expertise across operating systems, Kubernetes, and cloud platforms.

The Staff Brand Writer will create brand and product narratives across campaigns, launches, and user touchpoints. Responsibilities include translating complex AI capabilities into clear language, shaping content strategy, partnering cross-functionally with Product, Engineering, Marketing, Legal, Design, and Research, managing multiple projects, advocating for users through insights and data, maintaining high writing standards, and mentoring other writers.

Design, build, and operate large-scale ETL pipelines, data lakes, and data platforms processing billions of daily events. Own data quality, freshness, reliability, monitoring, and observability for foundational datasets. Develop self-service ETL frameworks and tooling, contribute to architecture and technical strategy, and partner with product, engineering, machine learning, data science, and leadership teams to deliver scalable data solutions.

Develops referral relationships with healthcare providers and community organizations to increase home health referrals and market share. Executes and documents sales activities, understands customer needs, presents customized solutions, provides home health education, and supports community in-services. Requires strong presentation, negotiation, communication, and relationship-building skills, along with CRM and Microsoft Office proficiency. A valid driver’s license, vehicle insurance, and dependable transportation are required.