Top Tech Jobs & Startup Jobs in Seattle, WA

Own and scale global HR compliance programs, including background checks, audits, government reporting, compliance calendars, policies, and employee lifecycle processes. Partner with Legal, Payroll, People Systems, Internal Audit, and Compliance to build scalable controls and reporting. Manage vendors, prepare audit evidence, interpret regulatory obligations across countries, and streamline compliance workflows. The role requires strong HR operations experience, clear communication, and the ability to navigate ambiguity while maintaining quality and reducing risk.

Conduct research and engineering for large language model pre-training, including model architectures, algorithms, data processing, optimizers, experiments, and training infrastructure. Lead research projects, optimize large-scale GPU systems, improve developer tooling, and contribute across the stack. The role emphasizes reliable, interpretable, steerable, and safe AI systems, with collaboration across research and engineering teams.

Drive AI adoption and measurable outcomes across strategic enterprise technology accounts. Build executive relationships, guide customers on Claude products, optimize usage, develop ROI cases, manage account success plans, lead change management and enablement programs, and identify expansion opportunities. Partner cross-functionally to communicate product roadmaps, influence product development, and help customers scale AI use cases across their organizations.

Build and operate production data pipelines, models, identity resolution, canonical data layers, and GTM data products. Integrate internal and external sources, establish data quality and governance, generate intelligence and AI-derived attributes, and deliver trusted data to CRM systems. Partner with Sales Operations, Finance, Data Science, and engineering teams on definitions, planning, segmentation, routing, observability, security, and platform scalability.

Draft, review, negotiate, and close complex commercial, procurement, technology, partnership, and IP licensing agreements. Partner with Sales, customers, vendors, and cross-functional teams throughout negotiations and contract execution. Build scalable contracting processes, templates, playbooks, and guidance while identifying risks and improving efficiency in a fast-moving AI company.

Leads Anthropic’s Integrity and Attestation team, owning security architecture and roadmap across hardware roots of trust, secure boot, remote attestation, machine identity, software provenance, secrets protection, and server management planes. Partners with infrastructure, hardware, data center, and vendor teams to scale secure compute deployments. Manages hiring, development, performance, and retention of senior security engineers while ensuring security controls are repeatable, evidenced, and effective across rapidly growing infrastructure.

Owns the design and execution of performance and talent programs, including review cycles, promotions, talent reviews, succession planning, calibration, and continuous feedback. Partners with People Services, People Analytics, internal product teams, and engineering to improve tooling, data quality, and scalable performance systems. Leads program redesigns, change management, stakeholder alignment, communications, and manager enablement in a rapidly growing organization.

Own the design, implementation, and operation of Anthropic’s deployment platform. Lead progressive delivery, health-gated rollouts, rollback, feature flags, infrastructure-as-code, artifact distribution, and runtime configuration across Kubernetes, serverless, and edge environments. Set technical direction, build secure and scalable control-plane systems, support platform adoption across teams, and participate in on-call and incident response.

Leads data science for Anthropic’s Core Apps product organization, partnering with product leaders on strategy, roadmaps, investment decisions, and success metrics. Manages and develops a team of Product Data Scientists, establishes experimentation and causal inference standards, leads high-impact analyses, communicates recommendations to executives, and builds foundational analytics practices and infrastructure. Requires extensive product data science experience, people management, strong statistical expertise, and fluency in Python and SQL.

Manage revenue accounting operations, ensure compliance with revenue recognition, oversee accounts receivable, lead closing processes, and collaborate cross-functionally.