Top Tech Jobs & Startup Jobs in Seattle, WA

Own a mid‑market territory to generate pipeline, win new business, and expand customer relationships. Prospect outbound, run consultative discovery, qualify opportunities, align value, deliver demos/proposals, and close deals. Collaborate with sales engineers, partners, and marketing; maintain CRM pipeline and forecasts; stay current on networking, cloud, cybersecurity, and AI operations trends. Periodic travel for customer and partner meetings.

Lead design and development of cloud-native, real-time distributed systems that process large volumes of network telemetry and power generative AI/agentic automation. Architect, implement, and operate scalable, reliable, and secure microservices and data platforms; mentor engineers and translate complex problems into production-ready solutions.

Lead design and delivery of cloud-native, real-time distributed platforms for intelligent networking and agentic AI. Architect scalable, secure systems processing high-volume network telemetry, mentor engineers, drive production deployments, and solve complex ambiguous problems across networking, AI, and data domains.

Design and implement scalable, secure cloud-native platforms and services for real-time network data processing, generative AI and agentic systems. Lead architecture, mentor engineers, build production-grade distributed systems for analytics, telemetry, and intelligent automation.

Build end-to-end internal AI-powered tools and systems using agentic coding workflows. Own full-stack development: backend services, pipelines, frontends, CI/CD, cloud deployments, MCP integrations, and dashboards to enable AI-assisted engineering across the company.

Lead design and delivery of large-scale, production ML systems and generative-AI solutions. Drive end-to-end development, build high-performance ML code, extend ML frameworks, integrate models at scale, mentor engineers, and champion operational excellence for real-time distributed platforms.

Design, build, and operate GenAI and ML systems for network intelligence. Lead architecture of distributed ML services, implement REST APIs, containerize and deploy with Kubernetes, mentor engineers, and support LLM fine-tuning, retrieval-augmented generation, and big-data workflows.

Lead engineering teams to design, build, and operate a scalable, secure AI agent platform and cloud-native services. Define technical roadmap, drive delivery across programs, make architectural trade-offs, ensure production readiness, mentor leaders, and collaborate with product, security, and cloud operations.

Lead the design and development of machine learning solutions, overseeing the entire software development lifecycle and mentoring engineers. Drive innovation in Generative AI and high-performance systems.