Top Tech Jobs & Startup Jobs in Seattle, WA

Lead design and analysis of large experiments and observational studies; select causal inference methods; develop and productionize ML and causal models; set experimentation best practices; influence metrics and measurement; mentor junior data scientists; present results to senior stakeholders.

Build scalable, secure, and reliable Azure API Management infrastructure supporting AI capabilities and gateway workloads. Develop service features across proxy engines, management APIs, analytics, deployment infrastructure, and container-based environments. Contribute to testing, production support, diagnostics, and API development experiences backed by Azure services, containers, virtual machines, or customer backends.

Leads architecture and implementation of Microsoft Red Team visibility, telemetry, monitoring, detection, alerting, deconfliction, and operational security capabilities. Designs scalable services and data pipelines, maintains authoritative operational asset inventories, identifies systemic security gaps, and drives durable engineering solutions. Provides hands-on technical leadership, architecture reviews, debugging, incident response, mentorship, and cross-organizational influence while enabling authentic Red Team operations with strong defensive visibility and control.

Build and maintain next-generation Visual Studio Code editing, development, and GitHub Copilot experiences. Responsibilities include defining product opportunities, shaping technical direction, designing and implementing features, improving performance and reliability, testing, analyzing telemetry and user feedback, collaborating with open-source contributors and partner teams, and mentoring engineers. The role involves hands-on work in large TypeScript and Rust codebases, including APIs, extension points, interactive applications, and AI-powered developer tools.

Provides hands-on technical leadership for VS Code and GitHub Copilot. Responsibilities include setting architectural direction, prototyping and implementing difficult solutions, leading cross-team delivery, designing APIs and platforms, improving performance and testing, incorporating developer feedback, and mentoring senior engineers. The role focuses on extensible developer tools, large-scale application architecture, AI coding workflows, accessibility, security, and engineering effectiveness.

Lead development of pre-silicon and post-silicon verification for SoC/IP, create simulation environments and test plans for digital and analog components, manage repositories and bug tracking, coordinate cross-functional teams (DFT, analog, physical design), and drive verification methodology and automation including AI-assisted workflows and characterization for production release.

Coordinates multiple Site Due Diligence programs across data center development portfolios. Manages capacity and investment signals, milestones, dependencies, risks, governance, readiness assessments, and Go/No-Go decisions. Leads cross-functional alignment across real estate, engineering, energy, legal, environmental, construction, and infrastructure teams. Provides executive reporting, dashboards, metrics, and portfolio insights while improving processes, automation, governance, and operational consistency.

Leads and develops a team of Cloud and AI specialist sellers, driving Azure and Microsoft Cloud adoption, pipeline growth, forecasting accuracy, revenue, and customer transformation outcomes. Builds executive customer relationships, manages sales execution, partners cross-functionally with engineering, account, customer success, and partner teams, and develops talent through coaching, performance management, succession planning, and career development.

Develop AI performance tooling across compilers, runtimes, libraries, and APIs. Benchmark, profile, debug, and optimize LLM training and inference workloads on CPUs, GPUs, and Microsoft hardware. Monitor regressions, reduce deployment time and hardware requirements, and collaborate with researchers and engineers to deliver scalable production improvements.

Leads block- and subsystem-level pre-silicon verification and post-silicon validation for custom IP and SoCs. Develops verification strategies, test plans, UVM environments, test content, and coverage closure processes; performs silicon bring-up and debugging. Collaborates with architecture, design, firmware, product engineering, program management, and vendors. Provides technical leadership and mentorship while applying AI-based tools to improve verification efficiency.