Top Tech Jobs & Startup Jobs

Lead applied research to advance continuous learning for agents: design and evaluate LLM post‑training and RL methods, implement and deploy experiments at scale, validate research on customer tasks, optimize GPU/distributed training, and mentor engineers while driving cross‑functional technical direction.

Drive applied research to enable continuous learning for agents: design and evaluate LLM post-training methods (fine-tuning, RL, distillation), run large-scale GPU experiments, validate approaches on customer tasks, and help deploy and scale models and infrastructure across the stack.

Support Talent Acquisition by building talent communities, executing recruiting events, and scaling talent programs. Partner with recruiters and hiring managers to drive pipeline strategy, track engagement metrics, and maintain recruiting data in ATS and sourcing tools. Coordinate logistics for virtual and onsite events and improve recruiting processes as the company scales.

Own and operate a Kubernetes-based, multi-region data platform to ensure high availability and performance. Build and optimize CI/CD pipelines, observability, IaC, and security for data-intensive, distributed systems. Drive incident response, capacity planning, and reliability engineering for production-grade services.

Design, implement, and improve security controls for operational technology (OT) networks in datacenter environments. Identify and remediate risks, create inventories and risk registers, coordinate penetration testing and vulnerability mitigation, embed security into OT systems, develop recovery and response playbooks, and present technical findings to stakeholders while partnering with engineering and third parties to reduce risk.

Partner with Product and Engineering leaders to drive data-informed people decisions, workforce planning, performance calibration, and organizational change. Proactively identify patterns, provide insights, manage complex employee relations, and deliver scalable people solutions while collaborating with People COEs to improve processes and leadership effectiveness during rapid growth.

Lead product strategy and roadmap for CoreWeave's cloud storage offerings, focusing on high-performance file and dedicated storage for AI workloads. Conduct market research, collaborate with engineering to design and launch scalable storage features, advocate for customers, coordinate cross-functional launches, and monitor product performance using data-driven insights to guide enhancements.

Lead and grow a Bare Metal Infrastructure Support team to maintain data center hardware, triage incidents, manage escalations, and improve processes. Collaborate with product and engineering, manage ticket workflows and shift coverage, mentor engineers, and ensure high availability and performance for GPU-heavy client workloads.

The role involves designing and building automated compliance pipelines, implementing policy-as-code, and integrating security scanning into CI/CD processes to ensure compliance and secure AI infrastructure.

The Senior Product Marketing Manager will position CoreWeave's SUNK offering, develop messaging, and collaborate with engineering and sales teams to enhance product adoption and market understanding for AI training workloads.