Top Tech Jobs & Startup Jobs in Seattle, WA

Build and ship computer-use and browser-control products across frontend, agent runtime, and backend services. Diagnose agent reliability issues, collaborate with AI researchers, create knowledge-worker workflows, instrument products, analyze usage data, and iterate based on external user feedback. The role requires end-to-end product ownership, full-stack engineering, LLM and agent experience, and comfort operating amid ambiguity.

Design and ship polished, user-centered AI product experiences and complex workflows. Collaborate with product managers, engineers, researchers, and stakeholders to define product vision, roadmaps, and feature capabilities. Create UI primitives, prototypes, and high-quality interfaces that build trust in AI technology. Work comfortably across design, code, and prototyping while operating effectively in a fast-paced, ambiguous startup environment.

Own Anthropic’s Microsoft co-sell motion by creating joint sales plays, mapping target accounts, connecting sellers, managing Azure Marketplace transactions, tracking pipeline, escalating blockers, and reporting performance to executives. The role also leads a major Microsoft initiative and brings field insights to product and go-to-market teams.

Build scalable software systems for AI safety, including abuse detection, monitoring, automated enforcement, internal dashboards, and layered defenses. The role surfaces abuse patterns to research teams, supports model hardening, and collaborates with operational teams. Candidates should be proficient in Python and TypeScript, work across the stack, communicate effectively with nontechnical stakeholders, and ideally have experience in trust and safety, fraud detection, adversarial inputs, or AI/ML safeguards.

Build backend infrastructure for Anthropic’s trusted access programs, including identity verification, customer vetting, access control, safety configuration, misuse monitoring, enforcement tooling, account-compromise mitigation, dashboards, alerting, and internal administration systems. Collaborate with policy, enforcement, threat intelligence, product, research, and go-to-market teams while integrating third-party identity verification and data enrichment vendors.

Build and rapidly prototype full-stack applications that demonstrate emerging AI capabilities. Collaborate with research teams, users, and external partners to validate product concepts, run structured experiments, iterate on user experiences, and document insights. Provide feedback on model capabilities and help transition successful prototypes into full product teams while adapting across initiatives and shifting priorities.

Owns onboarding, offboarding, device provisioning, access provisioning, and capacity planning for contractor, vendor, and BPO safeguards reviewers. Builds scalable workforce processes, partners with IT and Security on access governance, coordinates vendor commitments, and aligns human review operations across teams. The role combines hands-on execution, cross-functional program management, and long-term workforce strategy in a rapidly changing environment.

Own the cross-functional program for delivering Claude models and applications into public sector environments. Coordinate research, infrastructure, security, compliance, cloud partners, and product engineering across government segments. Drive FedRAMP and related authorization programs, sequence dependencies, manage risks and escalations, represent public sector requirements in launch planning, and establish repeatable processes for compliant deployments.

Leads and develops a team of 5–10 Customer Success Managers serving strategic cybersecurity accounts. The role drives adoption, consumption growth, retention, expansion, customer satisfaction, and executive-level engagement. Responsibilities include building scalable success processes and playbooks, managing escalations and forecasts, partnering with Sales, Product, Engineering, and Marketing, supporting hiring and coaching, and providing cybersecurity and AI expertise to customers and internal teams.

Build and maintain recruiting analytics data infrastructure using BigQuery, dbt, Fivetran, SQL, and Python. Design dimensional models, ETL/ELT pipelines, semantic layers, governance controls, data security, monitoring, and standardized recruiting metrics. Integrate Workday, Greenhouse, and internal systems while supporting batch and real-time analytics. Partner with data scientists, engineers, recruiters, and business stakeholders to deliver trusted data products and AI-enabled workforce insights.