Top Tech Jobs & Startup Jobs in Seattle, WA

Join Azure PostgreSQL to design, implement, and test features in a relational database engine (query processing, logging, storage, IO, scale-out). Collaborate with stakeholders, write maintainable code, define test plans, operate live services (on-call), and contribute to open-source PostgreSQL and Linux.

Design and develop a scalable agent runtime platform for Microsoft 365 Copilot and AI agents. Responsibilities include system architecture, cross-team technical design, AI-native engineering, code reviews, debugging, observability, safe deployments, incident response, and improving reliability, security, performance, and maintainability. The role supports long-running tasks, extensibility, multi-agent collaboration, and LLM-powered workflows.

Design and deploy large-scale machine learning models for Microsoft advertising across Search, Bing, Copilot, and commerce experiences. Develop deep learning solutions using NLP, computer vision, LLMs, and agentic AI for ad relevance, retrieval, ranking, recommendation, and optimization. Analyze offline and online performance, improve system scalability, and deliver robust production AI systems that enhance user and advertiser outcomes.

Develops customer and partner relationships, researches market and technology trends, manages business opportunity pipelines, supports negotiations and deal closure, and creates governance plans and KPIs. Collaborates with Microsoft stakeholders, engineering, and business units to align partnership strategies, identify product opportunities, execute deals, and communicate value propositions to customers and partners.

Lead end-to-end program management for quantum hardware initiatives, define roadmaps, coordinate cross-disciplinary engineering and external partners, manage risks and suppliers, oversee Agile delivery, incorporate customer feedback, and report program status to executives to scale topological qubits and quantum systems.

Lead the technical vision and development of AI-powered relevance, ranking, recommendation, personalization, advertising, shopping, and agentic commerce systems. Define machine learning roadmaps, build and deploy large-scale models, optimize training and inference, evaluate performance, partner with product and engineering teams, drive measurable business outcomes, and mentor scientists and engineers.

Lead product strategy and roadmap for Microsoft Copilot and in-app search. Combine customer feedback, telemetry, research, and quality metrics to identify and prioritize opportunities. Partner with engineering, data science, research, and design to improve search, retrieval, ranking, and AI systems. Build AI-powered workflows for product analysis, influence technical direction, resolve cross-organizational tradeoffs, communicate recommendations, and mentor peers.

Build and operate cloud-based security governance systems that measure identity security posture, evaluate risk thresholds, trigger escalations, automate remediation, and route actionable alerts. The role requires engineering reliable, scalable, observable, and resilient systems, integrating security telemetry and predictive risk models into decision workflows. Responsibilities include event-driven automation, incident response support, failover and self-healing capabilities, and collaboration with data engineering, data science, and partner teams.

Develop and optimize Windows operating-system software for GPU and AI workloads across hardware, firmware, drivers, APIs, and applications. Analyze performance, power, reliability, telemetry, logs, bugs, and bottlenecks; implement and test OS improvements; collaborate with hardware partners; and contribute to architecture, security, compliance, privacy, and accessibility initiatives using human- and AI-generated code.

Lead global partner go-to-market strategy for AI consumption within Microsoft’s CSP channel. Translate business goals into partner execution plans, incentives, activation programs, readiness resources, targeting strategies, and field guidance. Collaborate with product marketing, sales, finance, operations, and partners to define KPIs, remove execution blockers, gather partner feedback, and accelerate AI consumption growth among SMB and corporate customers.