Top Tech Jobs & Startup Jobs in Seattle, WA

Lead and coordinate cross-team roadmap for shared Apps platform: sequence work, manage dependencies, drive platform adoption, reduce duplication, establish operating rhythms, produce program documentation, surface and resolve technical blockers, and facilitate cross-org decision making to increase developer velocity and product shipping reliability.

As part of the Safeguards Data Science team, you will analyze user behavior, define success metrics, and foster a data-driven culture to improve AI safety.

Lead scaling and efficiency programs for Anthropic's API stack across API, infrastructure, databases, networking, and inference. Run multiple large cross-team programs, own cross-org dependencies end-to-end, establish decision-making clarity, surface risks and trade-offs to engineering leadership, and ensure programs deliver scalable, cost-effective API platform improvements.

The Support Engineer provides technical support to enterprise customers, resolving complex issues and collaborating with internal teams to enhance product support. Responsibilities include account management, issue troubleshooting, and building customer relationships.

Own end-to-end accounting for Anthropic's infrastructure capex and fixed asset portfolio, including CIP tracking, reconciliations, monthly close, ASC 360 technical accounting, auditor liaison, cross-functional partnership, process automation, and mentoring junior accountants.

Looking for a staff software engineer to develop the Billing Platform, ensuring data integrity in revenue mechanisms while collaborating with cross-functional teams.

Lead product operations for Research Product: connect product, research, and users to launch and scale models. Build launch playbooks, run beta/EAPs, create feedback loops, dashboards, and decision frameworks. Improve product development processes, run business rhythms, and drive cross-functional alignment across Product, Engineering, Sales, Customer Success, and Marketing.

The Commercial Counsel will draft and negotiate commercial agreements, support Go-to-Market teams, and manage legal risks while staying updated on AI developments.

Design, build, and operate scalable, secure data infrastructure including access control, financial reporting pipelines, cloud storage reliability, and data platform tooling. Collaborate with data scientists, analysts, and stakeholders to ensure data integrity, performance, cost-efficiency, compliance, and rapid recovery at petabyte scale.

Build and operate production data and planning systems to track, attribute, and forecast compute capacity and cost. Develop ingestion pipelines into BigQuery, observability tooling, and Kubernetes-native scheduling/placement features. Drive efficiency programs, reconcile multi‑provider billing, and produce actionable capacity plans. Collaborate across research, infrastructure, inference, and finance; own SLOs, on-call, and product-quality data surfaces.