Top Tech Jobs & Startup Jobs in Seattle, WA

Designs and deploys production-grade generative AI, LLM, and agentic systems for customer service automation. Responsibilities include multi-agent orchestration, RAG solutions, API and enterprise-tool integration, prompt engineering, model optimization, evaluation frameworks, cloud deployment, security, governance, observability, and reliability engineering. The role collaborates with engineering, product, cybersecurity, and business teams; conducts design and code reviews; mentors engineers; and researches emerging AI technologies.

Owns enterprise AI business intelligence and analytics, integrating data from cybersecurity, CMDB, ServiceNow, training, and AI platforms. Builds executive dashboards, portfolio health views, showback reporting, forecasts AI spending, automates data pipelines, applies A/B testing, and presents insights to senior leadership. The role also defines data models, reporting requirements, and dynamic row-level security for enterprise AI governance and adoption.

Owns the lifecycle of technical products within a data domain, including product vision, strategy, roadmap, requirements, backlog, release coordination, and production performance. Partners with engineering, architecture, governance, and business stakeholders to deliver data platform and AI-enabled products. Conducts customer and market research, drives adoption and enablement, resolves execution issues, and supports Agile and DevOps practices. The role requires substantial product management experience plus prior technical experience in software development, solution engineering, or technical architecture.

Supports product vision, roadmap development, customer and competitive research, prioritization, feature requirements, product backlogs, agile delivery, dashboards, beta programs, demos, and defect resolution. Collaborates with engineering, sales, marketing, finance, legal, commercial, and external partners to deliver digital app experiences and improve customer outcomes.

Develop, test, and deploy scalable full-stack software for a billing platform and high-availability environments. Build backend and frontend components using Java, Spring Boot, Node.js, Angular, databases, microservices, and event-driven technologies. Apply DevOps tools, cloud platforms, AI tools, and current frameworks; analyze requirements, design solutions, document code and systems, collaborate with technical teams, and mentor colleagues.

Leads annual planning, monthly forecasting, weekly outlooks, financial modeling, KPI analysis, variance analysis, and reporting for T-Mobile BTS products. Partners with cross-functional teams, develops actionable business insights, presents recommendations to senior leadership, maintains dashboards and complex models, and improves forecasting processes and data analysis capabilities.

Leads UX writing for Mint Mobile and Ultra Mobile digital experiences, creating clear copy for product flows, onboarding, errors, notifications, and account management. Supports brand copywriting across emails, ads, blogs, and social content. Collaborates with product, design, and brand teams, presents copy concepts, maintains style guides and templates, and mentors junior team members.

This 11-week HR and Workplace Experience internship supports workforce planning, talent management, learning, compensation, facilities, and employee experience teams. Interns analyze workforce and experience data, build dashboards and reports, improve processes, research workplace topics, prototype tools and experiences, collaborate cross-functionally, and present recommendations to leaders.

Leads cross-functional workforce management programs involving reporting, data integration, workflow automation, and business intelligence. Translates business requirements into technical solutions using tools such as Power BI, SharePoint, Verint, and enterprise data platforms. Analyzes operational data, manages risks, dependencies, vendors, budgets, and adoption, and improves workforce planning, reporting accuracy, automation, and decision-making.

Leads product marketing strategy for T-Life, including positioning, messaging, content, go-to-market planning, sales enablement, product launches, competitive analysis, customer research, analyst relations, and retention or upsell strategies. Partners with product, sales, and marketing teams to improve app downloads, engagement, adoption, and business results. Creates customer-facing content, training materials, case studies, and performance reports while serving as a market-facing product subject matter expert.