Top Tech Jobs & Startup Jobs

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.

Lead design, development, and deployment of Safeguards systems for frontier AI models across products and cloud providers. Define problems, prioritize solutions, build evals, detections, interventions, and metrics, and coordinate across research, policy, engineering, and product teams to mitigate deployment and user risks.

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.

The Incident Response Manager will coordinate incident responses, establish processes, and ensure effective communication across teams during high-stakes situations while fostering a learning-oriented environment.

Design and implement RL environments and evaluations to enable agentic RTL generation and chip design automation. Optimize EDA tool latency and proxy rewards, run experiments, shape roadmap, and deliver research into production training runs while collaborating across teams.

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.

Author and implement GSOC plans, policies, playbooks, and on-call rotations; coordinate incident response, handoffs, and liaison with Crisis Management, Legal, HR, and Communications; run exercises and after-action reviews; train teams and measure compliance for global incidents across sites, travel, and natural disasters, with after-hours on-call responsibilities.

Lead and deliver large-scale distributed infrastructure projects end-to-end. Make architectural decisions, drive cross-team alignment, partner with research/product teams, ensure reliability, scalability, and security, set technical standards, improve operational processes, and mentor other engineers.

Serve as a pre-sales Applied AI architect advising enterprise customers on Claude adoption. Translate requirements into technical solutions, design scalable LLM architectures, develop evals, create technical content, coordinate cross-functional teams, and support deployment and integration while occasionally traveling for onsite workshops.