Top Tech Jobs & Startup Jobs in Seattle, WA

Design and deploy AI agentic workflow frameworks, multi-agent orchestration platforms, LLM integration layers, retrieval systems, and evaluation pipelines. Integrate generative AI services to automate parsing, data mapping, and action triggers while building scalable backend architecture. Requires extensive software engineering experience with distributed systems, cloud platforms, JVM languages, containerization, microservices, asynchronous processing, and LLM orchestration.

The Product Manager will lead AI solution strategy and execution across the Clover ecosystem. Responsibilities include prioritizing AI workflow use cases, translating business processes into agentic experiences, defining metrics and roadmaps, building evaluation and confidence-scoring frameworks, implementing governance and audit workflows, prototyping prompts and agent systems, and partnering with vertical product managers. The role requires extensive product management experience, strong generative AI expertise, analytical execution skills, and hands-on technical prototyping capabilities.

Own the growth platform product strategy, enabling go-to-market teams and self-service workflows. Lead CDP implementation, experimentation infrastructure, A/B testing, event taxonomy, data governance, and growth technology vendor management. Drive cross-functional alignment across product teams, establish shared platform standards, and influence without direct authority. The role requires fluency in data pipelines, event schemas, webhooks, REST APIs, database architecture, and growth analytics and experimentation tools.

Design, build, and deploy production-grade Generative AI applications and multi-agent solutions. Develop RAG pipelines, integrate commercial and open-source LLMs, fine-tune models, and build scalable Python APIs. Optimize applications for performance, latency, cost, reliability, and scalability. Implement monitoring, containerization, CI/CD, and cloud deployments while collaborating with engineering, architecture, AI/ML, and product teams.

Design and build scalable backend services and AI-powered applications using Node.js/TypeScript or Python. Develop AI agents, agentic workflows, LLM integrations, tool calling, evaluation frameworks, REST APIs, microservices, and event-driven services. Partner with Product and Business teams, provide architecture guidance and code reviews, lead an offshore engineering pod, and optimize backend and AI workloads for reliability and performance. The role is onsite in Rhode Island or Arizona.

Designs and maintains automated test frameworks for web, API, and mobile applications. Performs functional, regression, integration, and end-to-end testing; validates APIs, databases, and integrations; integrates tests into CI/CD pipelines; manages defects; collaborates with development and product teams in Agile ceremonies; and provides quality metrics and reporting.

Build, integrate, enhance, and support production-grade Generative AI and LLM applications. Develop AI agents, RAG capabilities, APIs, and enterprise integrations using JavaScript and TypeScript. Apply prompt engineering, model evaluation, monitoring, security, authentication, and responsible AI practices. Troubleshoot complex issues across application, integration, model, and platform layers while supporting CI/CD, testing, deployments, observability, and production operations.

Define and lead architecture for scalable, cloud-native backend platforms supporting e-commerce, loyalty, identity, payments, and customer engagement. Design event-driven microservices, APIs, integrations, data platforms, and AWS infrastructure while establishing governance, observability, security, resiliency, and CI/CD standards. Provide technical leadership across engineering programs, modernization initiatives, architecture reviews, and enterprise stakeholder collaboration for high-volume QSR and consumer digital ecosystems.

Designs, builds, automates, and manages secure, scalable cloud platforms. Responsibilities include developing platform services, APIs, self-service capabilities, CI/CD pipelines, IAM solutions, infrastructure automation, observability, and security controls. The role supports reliability, incident management, troubleshooting, modernization, documentation, and collaboration across development, security, architecture, and operations teams.

Lead planning, execution, and delivery of enterprise IT projects, managing scope, schedules, budgets, resources, risks, vendors, and stakeholders. The role oversees software development, cloud transformation, application modernization, and technology implementation initiatives across Agile, Scrum, and Waterfall environments. Responsibilities include cross-functional team leadership, project monitoring and reporting, resource planning, stakeholder communication, and ensuring business and technology objectives are achieved.