Top Tech Jobs & Startup Jobs in Seattle, WA

Design, build, and maintain scalable, highly available cloud infrastructure for an AI-native cybersecurity platform. Automate deployments and incident response, optimize performance for AI workloads, manage IaC across cloud environments, lead incident management and post-mortems, and collaborate with engineering and security teams to embed reliability.

Lead and grow Regions, Canada & Startups sales vertical as a player-coach. Own ARR quota, forecast accuracy, and pipeline; hire, train, and manage up to 11 AEs across US and Canada; drive Google Cloud co-sell motions and executive alignment; build Canada and Startups go-to-market from scratch; define regional org structure, comp, and quota planning.

Design, build, and productionize scalable AI systems for autonomous detection, RAG-backed investigations, and auto-remediation. Develop LLMs, graph-based reasoning engines, streaming pipelines, evaluation/red-team processes, and collaborate with cross-functional teams to translate attacker behavior into robust detections.

Lead design and delivery of scalable AI systems for autonomous threat detection and response. Build and productionize LLMs, graph reasoning engines, streaming feature pipelines, and orchestration frameworks. Own evaluation, reliability, and cross-functional collaboration while mentoring engineers and experimenting with RAG, tool-calling agents, and multi-modal models.

As a Senior DevOps Engineer, you will design and optimize cloud infrastructure, manage CI/CD pipelines, and ensure system security and scalability in a fast-paced environment.

Own product marketing campaigns end-to-end: craft messaging and content (blogs, whitepapers, sales enablement), execute multi-channel campaigns, build persona journeys, measure and optimize performance, and partner with product, sales, and analysts to drive pipeline.

Lead end-to-end product development for Threat Intelligence and Threat Hunting: define strategic roadmap, translate threat research into automated hunting playbooks and real-time feeds, guide engineering/design/GTM teams, and conduct customer discovery with security practitioners and CISOs to reduce alert fatigue and improve detection outcomes.

Lead the end-to-end product lifecycle for AI-native cybersecurity offerings, defining multi-year AI strategy, translating LLM research into automated detection and response, and partnering cross-functionally to deliver agentic automation that reduces alert fatigue and drives measurable security outcomes.

The Staff Software Engineer will lead technical vision and execution, drive architectural decisions, mentor engineers, and ensure code quality and scalability.

The Customer Engineer will provide technical expertise during sales, ensure efficient customer onboarding, support incident planning, and represent TENEX at industry events while developing cloud security knowledge.