Top Tech Jobs & Startup Jobs in Seattle, WA

Lead full-stack implementations of an LLM-driven platform with enterprise customers: perform technical discovery, build integrations, prototype and deploy AI-native solutions, develop reusable adapters and documentation, and own performance, reliability, and post-launch optimization.

Lead technical discovery and implement enterprise deployments of Gradial's LLM-driven platform. Own full-stack development, system integrations (CMS, DAM, workflow tools), reusable adapters, and production reliability. Collaborate with customer stakeholders and product teams to translate business processes into scalable generative solutions and optimize post-launch.

Lead reliability, scalability, and operational health of a production platform. Evolve Kubernetes, CI/CD, IaC, and observability. Build tooling and automation, improve monitoring/incident response, partner with engineering to identify and mitigate scaling risks, and influence platform direction across reliability, security, performance, and cost.

Own and improve the reliability, scalability, and operational health of Gradial's production platform. Lead Kubernetes, CI/CD, GitOps, infrastructure-as-code, observability, monitoring, alerting, incident response, and operational tooling. Drive performance, cost, security, and platform readiness in partnership with engineering teams.

As a Product Engineer at Gradial, you'll create intuitive UI components, collaborate with teams, prototype designs, and enhance user experiences on the AI platform.

Lead and scale the enterprise new-business sales organization: hire, coach, and manage Account Executives; drive team revenue through pipeline management, forecasting, and deal execution; partner with Marketing on pipeline and conversion; implement sales methodologies and repeatable processes; participate in strategic deals; analyze performance and optimize territories; and ensure smooth post-sale transitions.

Lead product marketing and category strategy for an AI-native B2B SaaS platform: define positioning, own launches, build competitive messaging, enable sales, generate customer stories, run analyst relations, and shape market narrative while collaborating closely with founders, product, sales, and customers.

Work with leadership to identify and prioritize new market opportunities, research target accounts and executives, craft personalized outbound outreach, and generate qualified pipeline. Build and run targeted campaigns, leverage AI/LLMs and automation for prospecting and personalization, maintain CRM discipline in HubSpot, and collaborate with Sales and Marketing to drive commercial and enterprise growth.

The GTM Engineer will build systems for outbound marketing targeting, combining data-driven insights with technical workflows to optimize account outreach and drive pipeline from named accounts.

The Applied AI Engineer will develop agent workflows, design modular frameworks, build data pipelines, and partner with stakeholders to apply AI solutions in live environments.