Top Tech Jobs & Startup Jobs

Design and implement multitenant workload and network isolation for bare-metal and virtualized GPU infrastructure. Harden Linux kernel and container runtimes, perform threat modeling and penetration testing, write low-level security code (C/Go/Rust), mitigate GPU and PCIe security risks, and lead incident response and forensic work for ephemeral container environments.

Secure customer-facing products, APIs, and internal services through threat modeling, architecture and code reviews. Remediate vulnerabilities by coding fixes in Python/Go/JS/TS. Build and manage SAST/DAST/SCA security pipelines in CI/CD. Configure WAFs, API gateways, and bot protection. Provide secure coding guidance, run bug bounty triage, and support compliance (SOC 2, ISO 27001, GDPR).

Ensure stability and resilience of Runpod's distributed AI platform by defining SLIs/SLOs, leading incident response, building observability and reliability tooling, automating operational workflows, and partnering with engineering teams to reduce toil and improve production readiness.

Lead and scale core cloud and bare-metal infrastructure including SRE, global and HPC networking, and distributed storage. Define SLOs/SLAs, incident response, observability, and IaC. Architect InfiniBand/RoCE networks and high-performance storage to support large GPU workloads. Hire and mentor managers and senior ICs, partner with product and program teams to forecast capacity and drive reliability, throughput, and low-latency infrastructure at scale.

Own end-to-end product design for Runpod's AI infrastructure platform, turning complex workflows (compute, deployment, storage, networking, billing, observability, model ops) into intuitive, polished experiences. Rapidly identify UX problems, prototype high-fidelity designs, define design systems, partner with Engineering and Product, and use user research and analytics to iterate and raise product craft and developer trust.

Lead a product engineering team to own roadmaps, design scalable cloud-native systems, ship customer-facing features, ensure quality and reliability, hire and mentor engineers, and coordinate cross-functional delivery.

Customer-facing technical engineer supporting sales and onboarding for Runpod's AI cloud. Troubleshoot escalated issues, build POCs, collaborate with engineering and product, create documentation, and train customers to ensure smooth deployment and operation of AI workloads.

Drive full-cycle enterprise sales to acquire strategic AI/ML and infrastructure customers. Prospect, qualify, negotiate complex high-ARR deals, manage pipeline and forecasts, partner with engineering, and ensure smooth handoffs to customer success. Represent Runpod at customer meetings and industry events.

Lead and scale Forward Deployed Engineering and Technical Support teams, owning customer technical outcomes from pre-sales through deployment. Define engagement models, SLAs/SLOs, on-call/escalation structures, tooling, and feedback loops into Product and Engineering. Partner cross-functionally to prioritize roadmap, improve self-service, and drive operational discipline.

Lead Revenue Operations, owning CRM architecture, data infrastructure, forecasting, reporting, compensation and territory design, and oversight of Deal Desk and Enablement. Drive GTM alignment, implement revenue technology and AI-powered automation, and support PLG and enterprise motions to scale ARR and operational efficiency.