Top Tech Jobs & Startup Jobs in Seattle, WA

Owns product roadmap execution for Technology Enablement Alliances products, including defining requirements, prioritizing features, coordinating engineering and cross-functional teams, managing dependencies, and delivering releases. Drives customer adoption, conducts competitive and consumer analysis, measures product impact against KPIs, resolves blockers, and collaborates with vendors and strategic partners to deliver high-quality solutions on schedule.

Build identity, login, registration, and account experiences for Android mobile and Android TV using Kotlin. Develop shared Android SDKs, feature-flagged releases, A/B tests, telemetry, and privacy-related functionality at large scale. Diagnose Android device issues, maintain code quality through testing and reviews, document integrations, and collaborate with product, data science, design, legal, and privacy teams.

Lead development and productionization of personalization and recommendation algorithms (ranking, retrieval, content/user understanding, post-ranking). Apply modern AI/LLM techniques, design and run offline and online experiments, drive technical vision and roadmap, collaborate with engineering/product/data teams, and build maintainable, production-grade ML systems at scale.

Leads the design, development, training, deployment, and optimization of scalable machine learning models, pipelines, and production systems. Provides technical guidance to engineers and data scientists, reviews ML code, contributes to platform architecture, and drives end-to-end workflows from data ingestion through model serving. Collaborates with data science, data engineering, and product teams while troubleshooting models and resolving technical issues.

Leads web infrastructure strategy and standardization for Disney’s consumer-facing media brands. Owns reliability, observability, performance, scalability, resiliency, and risk management for cloud-based services. Drives architecture patterns, technical standards, design reviews, cross-team technical decisions, and mentorship. Requires deep web architecture expertise, AWS experience, and the ability to guide engineering teams toward reliable, scalable delivery.

Lead design and implementation of scalable, low-latency ad experience systems. Mentor engineers, review code/tests, build observability, support on-call rotations, prototype ad formats, and translate product requirements into production-ready microservices.

Develop and maintain Python-based generative AI applications and conversational workflows. Implement retrieval/grounding, prompt logic, agentic tool-calling, and integrations with backend services. Support LLMOps practices (observability, evaluation, deployment), create validation datasets, assist deployment and troubleshooting, and use AI-assisted developer tools to improve engineering velocity and reliability.

Leads highly complex, strategic data platform programs from planning through delivery across engineering, product, business, vendor, and partner teams. Builds coordinated plans, manages dependencies, capacity, risks, blockers, communications, and executive reporting. Drives technical decisions, change management, Agile processes, release management, and team-of-teams collaboration while maintaining delivery momentum and quality across consumer-facing digital products.

Build and maintain complex, reusable, testable user interfaces using JavaScript, TypeScript, and React. Develop optimized, scalable applications; fix bugs; investigate production issues; collaborate with backend, product, project management, and engineering teams; conduct code reviews; promote accessibility and quality; evaluate technologies; and deliver projects on schedule using Agile and Lean practices.

Develop and support scalable, high-performance stateful microservices and serverless functions in a multi-region cloud environment. Responsibilities include software design, development, testing, deployment, system optimization, operational metrics, Agile participation, cross-functional collaboration, and mentoring engineers. The role focuses on resilient distributed systems supporting Disney’s streaming platforms and user capabilities.