Top Tech Jobs & Startup Jobs in Seattle, WA

Leads strategy, roadmap, and execution for the Work IQ MCP platform and provider ecosystem. Owns retrieval quality, source federation, evidence provenance, provider onboarding, APIs, security, reliability, observability, and performance. Partners with engineering, applied science, security, customers, developers, and external partners to define requirements, prioritize investments, drive adoption, and improve product outcomes using telemetry and production evidence. The role requires autonomous leadership and cross-organizational influence without direct reporting authority.

Lead the technical vision and architecture for Microsoft’s global Public Key Infrastructure platform. Design and build secure, resilient, scalable certificate lifecycle services; advance cryptographic agility and post-quantum readiness; establish trust boundaries and least-privilege controls; and deliver reliable, observable, automated software. Collaborate across engineering, product, and security teams while writing high-quality code, improving testing and diagnosability, and promoting secure-by-default solutions.

Own the end-to-end go-to-market strategy for FinOps for AI, including messaging, customer proof, content, events, web, partner strategy, field enablement, and measurement. Coordinate across product, pricing, cost management, web, sales, and partner teams to create a consistent market story. Develop customer-facing and seller enablement materials, use customer signals to guide investment, and measure reach, engagement, consumption growth, and product adoption.

Develop scalable, secure, and reliable Azure Data services for high-volume usage billing. Design features, improve test coverage, automate deployment, monitor telemetry, maintain live services, respond to incidents, and resolve complex distributed-system issues. The role requires collaboration across engineering teams, compliance with security standards, and an active U.S. Government Top Secret clearance with SCI access and polygraph.

Define and govern enterprise architecture standards, reference architectures, AI-first patterns, review processes, and golden development paths. Lead architecture reviews for business-critical platforms, establish transition roadmaps, validate designs through prototypes and engineering reviews, and guide decisions involving scalability, reliability, security, cost, and operations. Mentor senior engineers and architects, lead an architecture guild, communicate with executives and technical stakeholders, and use operational evidence to continuously improve architecture across Microsoft organizations.

Define strategy, roadmap, and platform direction for Microsoft Defender for Endpoint. Translate customer needs and emerging threats into endpoint prevention, detection, investigation, and response capabilities. Partner across Defender, Windows, Azure, AI, research, engineering, vendors, and customers. Represent Microsoft as a technical voice on endpoint protection, runtime security, and threat detection.

Lead Gaming Advertising Finance across forecasting, month-end close, planning, quota support, performance analytics, and resource allocation. Build scalable financial models and reporting frameworks, evaluate investments and returns, analyze variances, identify risks and opportunities, and translate business drivers into actionable insights. Partner with product, engineering, sales, and finance leaders across Microsoft gaming and advertising businesses, influence senior stakeholders, maintain financial controls, and mentor team members.

Leads strategic AI transformation initiatives for financial services customers, helping move AI pilots into scalable, enterprise-ready deployments. Develops sales accelerators, proof-of-concept assets, transformation roadmaps, business cases, and customer messaging. Coordinates with engineering, consulting, sales, marketing, partner, and leadership teams while providing strategic insights, project leadership, technical guidance, and measurable success metrics.

Own the definition, delivery, and optimization of AI tool governance features in Microsoft Agent 365. Responsibilities include managing MCP server and connector onboarding, tool discovery, Shadow AI observability, roadmap prioritization, customer research, product requirements, execution with engineering and design, success metrics, and compliance capabilities for regulated and government-cloud customers.

Own the strategy, development, and continuous improvement of Excel Copilot. Identify customer needs, evaluate AI and agentic capabilities, define product requirements and success metrics, run experiments, analyze telemetry and feedback, prioritize enhancements, and make product and technical tradeoffs. Partner with engineering, applied science, design, and stakeholders to deliver intelligent Excel experiences at scale.