Top Tech Jobs & Startup Jobs in Seattle, WA

Develops strategic customer and partner relationships, leads complex deal opportunities and negotiations, formulates partnership strategies, manages deal governance, and aligns stakeholders across Microsoft. Uses industry insights, customer priorities, quantitative data, and product feedback to identify opportunities, influence product roadmaps, resolve escalations, and drive pipeline growth and successful execution across portfolios of deals.

Build and lead development of an agentic AI bidding platform for real-time digital advertising auctions. Responsibilities include designing scalable distributed systems, data validation frameworks, experimentation and simulation tools, MLOps capabilities, and high-availability services. The role involves collaborating with data scientists and product teams, managing incidents and on-call readiness, exploring multi-agent AI techniques, setting technical direction, and mentoring engineers.

Investigate complex cloud, identity, endpoint, and supply chain security incidents; conduct root cause analysis, threat hunting, and impact assessment; author rapid detections and investigative queries; develop playbooks and automation; collaborate with engineering, intelligence, and incident response teams; produce technical and executive reports; and mentor peers while improving Microsoft’s detection and response capabilities.

Leads financial discovery projects for Microsoft's Corporate, External, and Legal Affairs organization. Conducts detailed research and analysis across historical and disconnected datasets, maintains strict data custody, improves reporting through automation and AI tools, advises stakeholders, and delivers accurate, timely information for regulatory and compliance needs.

Develops and maintains scalable backend and big-data solutions for Microsoft’s global eCommerce and Web business. Responsibilities include gathering requirements, designing and implementing extensible code, conducting code reviews, and ensuring security, privacy, compliance, reliability, and accessibility. The engineer operates cloud services, monitors systems as an on-call Designated Responsible Individual, responds to incidents within SLAs, and collaborates with stakeholders across the company.

Conduct research on efficient and agentic AI systems alongside Microsoft researchers. Collaborate on machine learning and systems research, evaluate model quality, speed, cost, and performance, develop or assess AI applications and agents, analyze experiments, present findings, and contribute to research publications or open-source projects during a 12-week internship.

Lead competitive intelligence for identity and network security, including IAM, IGA, ITDR, and SSE technologies. Translate market, customer, technical, and competitive evidence into product recommendations, positioning, field guidance, battlecards, and executive narratives. Partner with Microsoft Entra engineering, product marketing, sales, and leadership to influence securing-AI strategy, support competitive evaluations, and improve deal outcomes.

Own the strategy, roadmap, and execution for Microsoft Advertising’s API and Model Context Protocol experiences. Build reliable interfaces enabling developers and AI agents to create, understand, optimize, and manage campaigns. Lead cross-functional product development, go-to-market initiatives, adoption measurement, and industry positioning while defining success metrics and engaging engineering, design, partners, customers, marketing, and sales.

Build and operate highly scalable, fault-tolerant AI infrastructure on Azure. Responsibilities include designing distributed systems, developing cloud-native platforms with Docker and Kubernetes, productizing AI technologies, and owning solutions through architecture, implementation, testing, deployment, monitoring, security, and continuous improvement.

Leads Microsoft’s Marketing Finance Analytics strategy, expanding ROI, LTV/CAC, customer economics, and investment-effectiveness measurement. Directs AI-enabled analytics transformation, develops scalable frameworks, translates complex analysis into executive decisions, and guides marketing resource allocation. Partners with senior Marketing, Product, Finance, and Analytics leaders to establish KPIs and measurement methodologies. Manages and develops a high-performing team while driving cross-company alignment and improving marketing investment decisions.