San Francisco, CA
GPU cloud platform for AI training and inference
Runpod provides on-demand GPU instances and serverless compute for developers to train, deploy, and scale AI models. It serves over 500,000 developers and enterprises like OpenAI and Replit across global regions, enabling cost-effective AI infrastructure without managing hardware. This allows focus on building custom AI systems rather than operational complexity.
Build and maintain frontend, backend, APIs, and SDK capabilities for an AI infrastructure platform. The role requires experience with Python or TypeScript, modern web technologies, and backend frameworks, with opportunities to grow across the full stack.
Provide advanced L2 technical support for Runpod's AI cloud platform, troubleshooting complex issues with GPUs, containers, and ML models via logs, scripts, and collaboration with engineering teams. Requires 5+ years technical support experience, Linux/Docker/Python proficiency, and familiarity with AI inference and fine-tuning.
Own the technical lifecycle and operational health of Runpod’s global high-density GPU fleet. Bridge hardware partners and engineering teams through hardware validation, network troubleshooting, AI-driven automation, incident response, and performance tuning for AI/ML workloads.
Senior Product Manager to own strategy, roadmap, and business performance for a high-impact area of Runpod’s AI infrastructure platform. Requires 6+ years PM experience in technical/infrastructure/AI products, strong analytical and customer discovery skills, and cross-functional leadership to drive revenue, adoption, and retention.
Systems-focused Cloud Infrastructure Security Engineer responsible for securing Runpod's multitenant GPU bare-metal and virtualized environments. Requires 5+ years in infrastructure security, deep Linux kernel and virtualization expertise (KVM/QEMU), and low-level programming (C/Go/Rust) to prevent breakouts and harden against threats.
Full Stack Security Engineer embedding with engineering teams to secure Runpod's AI cloud platform. Lead threat modeling, fix vulnerabilities by writing code in Python/Go/TS, implement DevSecOps pipelines, and champion security across web apps, APIs, and microservices.
Site Reliability Engineer responsible for defining SLIs/SLOs, leading incident response, building observability (Prometheus/Grafana), automating toil, and driving production readiness for Runpod's AI cloud platform. Requires 5+ years SRE experience, strong Linux/distributed systems knowledge, and scripting skills.
Lead and scale Runpod's core cloud and bare-metal infrastructure, including SRE, global/HPC networking, and distributed storage for massive GPU/AI workloads. Requires 8+ years operating large-scale distributed systems plus 7+ years leading infrastructure/SRE teams (managing managers).
Senior Product Designer to own end-to-end UX for Runpod's AI infrastructure platform. Turn complex developer workflows (compute, deployment, observability, billing) into intuitive, delightful experiences. Requires 6+ years product design experience, strong portfolio, high ownership, and ability to partner with engineering in a fast-paced remote environment.
Lead a product engineering team at Runpod to deliver customer-facing features for the AI cloud platform console, APIs, and developer workflows. Requires 6+ years shipping high-scale products and 2+ years of engineering management with deep Linux/cloud systems expertise.
Forward Deployed Engineer on the Revenue team at Runpod, supporting AI cloud platform growth by joining sales calls, building POCs, troubleshooting complex customer issues (inference, LLMs, GPU), providing architectural guidance, and relaying feedback to engineering. Requires 3+ years software development, AI familiarity, strong communication, and US PST location.
Lead and scale Runpod's Forward Deployed Engineering and Technical Support teams. Own pre- to post-sales technical engagement, solution architecture, support operations with SLAs, and synthesize customer feedback into product roadmap priorities. Requires 10+ years technical customer-facing experience including 4+ years leading teams in high-growth AI/cloud infrastructure.
Drive new strategic deals as an Account Executive at Runpod, focusing on acquiring and closing high-ARR enterprise customers for AI infrastructure and GPU cloud services. Requires 3+ years enterprise SaaS/infrastructure sales experience with a track record closing complex 6-7 figure deals.
Build and own marketing operations systems, data, attribution, campaign workflows, and reporting at a fast-growing AI infrastructure company. Requires 7+ years in marketing/RevOps at B2B SaaS/PLG firms, deep HubSpot/Salesforce expertise, strong analytics, and cross-functional collaboration.
Senior Product Marketing Manager responsible for positioning, messaging, competitive intelligence, sales enablement, and creating long-form technical content to drive awareness, adoption, and revenue for Runpod's AI infrastructure platform. Requires 7+ years in technical B2B product marketing, deep AI/cloud fluency, strong writing, and experience scaling from PLG to enterprise.
Lead strategic sourcing, complex high-value contract negotiations, and vendor management for Runpod's cloud infrastructure procurement (tens to hundreds of millions in spend). Requires deep commercial, financial structuring, and legal acumen; embedded with Engineering.
Lead Revenue Operations at Runpod, owning CRM architecture, forecasting, compensation planning, Deal Desk, and AI-powered workflows to scale enterprise and PLG revenue motions from $120M ARR. Requires 8+ years in RevOps/GTM strategy with leadership experience in high-growth SaaS/infrastructure companies.
Lead People Operations as a strategic partner to the COO and executive team at a fast-growing AI infrastructure company. Own HR strategy, scalable systems, compliance, compensation, culture, and a small People team in a remote, high-growth startup environment.
Nurture and grow relationships with existing Runpod customers, focusing on retention, renewals, upsells of AI infrastructure, and driving net revenue retention through account planning, business reviews, and proactive health monitoring. Requires 2-5 years in post-sales roles with strong technical and relationship skills.
Senior Software Engineer building and scaling cloud infrastructure for AI/ML workloads on distributed systems across global data centers. Requires 3+ years experience with strong Go skills; distributed systems, containerization, and ML deployment experience preferred.