Top Tech Jobs & Startup Jobs in Seattle, WA

Lead legal workstreams for acquisitions, acquihires, investments, joint ventures, and other strategic transactions from diligence through closing and integration. Draft and negotiate transaction documents, advise on deal structures and risk, coordinate internal teams and outside counsel, prepare executive and Board materials, and develop repeatable M&A playbooks, templates, and processes.

Lead Anthropic’s global systems integrator partnership motion through AWS. Build co-selling strategies, joint business plans, partner programs, marketplace mechanics, incentives, pipeline forecasting, and revenue operations. Develop executive relationships across AWS and integrators, create industry-specific Claude solutions, enable partner delivery capabilities, and coordinate alliances, sales, marketing, and regional cloud teams. Provide ecosystem intelligence, manage partner investments, and establish scalable partnership processes.

Own day-to-day tax execution for Anthropic’s infrastructure transactions. Responsibilities include deal intake, service-versus-lease and entity-structure analysis, after-tax economics modeling, depreciation and NOL scenarios, technical accounting inputs, cross-border withholding and permanent-establishment analysis, transfer-pricing documentation, tax provision inputs, and maintaining infrastructure tax playbooks. The role coordinates with Legal, Accounting, FP&A, Tax, and infrastructure teams across multiple jurisdictions.

Build and operate autonomous AI agents for go-to-market workflows including inbound, outbound, pipeline management, and customer engagement. Develop evaluation frameworks, observability, human oversight, and ROI measurement for production agents. Ship MCP servers, agent skills, and web applications integrating CRM and revenue systems. Set technical direction, architect shared codebases, collaborate with sellers and RevOps, and advance best practices for LLM agents and evaluations.

Develop and execute partner marketing programs with major cloud partners to drive enterprise adoption of Claude. Responsibilities include joint go-to-market planning, executive-focused campaigns, messaging and enablement materials, account-based marketing, cross-functional campaign execution, performance measurement, partner events, and scalable program development. The role requires strong partner relationship management, enterprise marketing expertise, data-driven decision-making, and comfort operating in a fast-paced AI company.

Analyze product and user data to guide product strategy, operations, and roadmaps. Design experiments, apply causal inference, investigate anomalies, define metrics, build statistical models and simulations, and establish scalable analytics practices. Present actionable insights to technical and business stakeholders while supporting data-informed decision-making for AI products.

Design and launch Anthropic’s global corporate mobile device program across iOS and Android. Own device standards, procurement logistics, enrollment, configuration-as-code, compliance, lifecycle automation, telemetry, managed app distribution, and BYOD boundaries. Build infrastructure using MDM/UEM platforms, cloud services, Terraform, GitOps, and CI. Partner with Corporate Security on device trust and travel devices while driving progressive, telemetry-gated fleet rollouts.

Build and ship full-stack internal products across backend, frontend, and infrastructure. Partner with users to understand workflows, identify high-impact opportunities, create reusable platforms and abstractions, and empower less-technical users. Own product decisions and outcomes, iterate based on feedback, and independently deliver products from concept through launch.

Design, build, and operate large-scale distributed inference systems serving Claude globally. Responsibilities include intelligent routing, load balancing, traffic management, autoscaling, multi-cloud orchestration, deployment pipelines, accelerator integration, model architecture support, and production performance optimization. The role also enables high-performance infrastructure for AI research and manages multi-region deployments across diverse cloud platforms and accelerator environments.

Develops product risk assessment frameworks and leads safety reviews for new AI features. Evaluates technical and nontechnical harms, misuse, unintended consequences, and harmful outputs; collaborates with product, engineering, legal, policy, and safeguards stakeholders to design mitigations. Creates bespoke evaluations, develops responsible AI policy recommendations, tracks emerging risks, prioritizes safety resources, and reports product policy risks and mitigations to senior leadership.