Runpod
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.
Director of Marketing Operations
Build and own marketing operations systems, data, attribution, campaign ops, lifecycle infrastructure, and reporting for a fast-growing AI infrastructure company. Hands-on director role partnering with RevOps, Sales, Finance, Product, and Data.
Product Marketing Manager
Own full-stack product marketing for Runpod's AI infrastructure platform: positioning, messaging, launches, competitive intelligence, sales enablement, and long-form technical content. Requires 7+ years technical B2B PMM experience and strong writing skills.
Senior Procurement Officer, Cloud Infrastructure
As a Senior Procurement Officer, you will lead strategic sourcing and high-level negotiation efforts for Runpod's rapidly expanding cloud infrastructure. This role involves complex contract negotiation, vendor management, legal liaison, and financial/risk analysis to drive commercial strategy and secure vendor partnerships.
Site Reliability Engineer
Site Reliability Engineer responsible for platform uptime, incident response, observability, and automation on a distributed AI infrastructure platform. Requires 5+ years SRE experience with strong systems, Linux, and distributed systems expertise.
Deal Desk Manager, Revenue Operations
Owns quote-to-close processes, CPQ implementation, commercial governance, and contract lifecycle management for enterprise deals. Partners with Sales, Finance, Legal; leverages AI for efficiency in high-growth SaaS/AI infrastructure environment.
Director, Revenue Operations
Leads Revenue Operations, owning CRM architecture, data governance, forecasting, compensation planning, and Deal Desk/Enablement. Builds scalable systems for Sales, Marketing, and Customer Success in a high-growth AI infrastructure company, requiring 8-12 years RevOps experience and deep Salesforce expertise.
Enablement Manager, Revenue Operations
Designs and manages company-wide onboarding programs and GTM enablement for Sales, SDRs, and Customer Success, including playbooks, training, competitive resources, and AI-powered systems to accelerate ramp times and revenue growth in a high-growth AI infrastructure company.
Engineering Manager - Product & Platform Delivery
Leads engineering team building customer-facing features for AI/ML cloud platform's console, APIs, and workflows. Requires 2+ years management experience, 6+ years high-scale engineering, and deep expertise in Linux/cloud systems.
Head of People Operations
Leads People Operations team, driving HR strategy, scalable systems, compliance, and employee experience in a high-growth AI infrastructure company. Requires 8+ years in HR/People ops with executive advisory experience and tech startup background.
Senior Product Manager
Leads development of Runpod Anywhere, a new product for integrating customer-owned GPU infrastructure with Runpod's cloud platform. Defines strategy, roadmap, and go-to-market for hybrid AI workloads; requires 5+ years PM experience with developer tools, AI/ML, and prior engineering background.
Manager, HPC Storage Engineer
Leads engineering team building and operating large-scale distributed storage infrastructure for AI/HPC workloads, including SAN, NFS, VAST Data, and parallel filesystems. Requires 3+ years managing teams and 8+ years in storage systems with deep expertise in high-performance data paths.
Software Engineer (Full-Stack)
Full-stack engineer building and maintaining frontend UIs, backend APIs, and SDKs using Python and TypeScript for AI cloud infrastructure platform. Requires some experience with Python/TypeScript; frontend/backend frameworks; remote-first role.
Account Manager
Manages portfolio of existing accounts, driving retention, renewals, upsells, and customer satisfaction through proactive health monitoring, QBRs, and cross-functional collaboration. Requires 2-5 years in account management or customer success with technical acumen in SaaS/cloud.
Senior Software Engineer (Cloud)
Develops and maintains cloud infrastructure software in Go for massive-scale AI computing across global data centers. Requires 3+ years experience with Go, distributed systems, and strong problem-solving skills.
Security Engineer
Security Engineer safeguards multitenant GPU cloud platform by designing secure architectures, conducting assessments, penetration testing, and implementing fixes. Requires 5+ years in cloud security, Linux/containerization expertise, and programming in Python/Go/C.