Develop and maintain frontend interfaces, APIs, and core platform components using Python, Typescript, and Go. Support the open-source SDK and collaborate with AI teams to enhance tools for AI engineers and researchers.
Runpod
22 Remote Job Openings at Runpod
Design and implement robust workload and network isolation for multitenant GPU bare-metal and virtualized environments. Harden Linux kernel configurations and container runtimes to prevent breakouts and privilege escalation.
Lead threat modeling, architecture reviews, and vulnerability remediation across web applications and APIs. Implement automated security guardrails within CI/CD pipelines and manage application-layer defense controls.
Ensure the stability, resilience, and performance of Runpod's global AI developer platform through observability and automation. Lead incident response, define reliability standards (SLIs/SLOs), and reduce operational toil.
Lead and scale Runpod's core cloud and bare-metal environments, focusing on SRE, global networking, and distributed storage. Build a high-output engineering organization to ensure high availability and performance for massive GPU computing demands.
Own the end-to-end design of core AI infrastructure surfaces, transforming complex technical workflows into intuitive user experiences. Partner with Engineering and Product teams to define requirements and ship high-quality, polished product features.
Lead a high-impact product engineering team to deliver customer-facing features across the console, APIs, and developer workflows. Partner with Product and Design to translate strategy into technical plans while managing architecture, quality, and team growth.
The role involves supporting high-spending customers through technical onboarding, architectural recommendations, and the creation of proof-of-concept solutions. Additionally, the engineer will troubleshoot complex technical issues and collaborate with internal teams to drive product improvements based on customer feedback.
Lead and scale the Forward Deployed Engineering and Technical Support teams to ensure successful customer deployments and expert technical assistance. Act as a cross-functional connector between customers, Sales, and Product Engineering to shape the product roadmap based on field feedback.
Drive new strategic deals with enterprise and high-growth customers to increase annual recurring revenue. Manage the full sales cycle from prospecting and discovery to negotiation and closing high-value AI infrastructure contracts.
Lead core product initiatives for Runpod's AI infrastructure platform to drive revenue growth, adoption, and retention. Own the end-to-end strategy, roadmap, and business performance of high-impact product areas through data-driven decision making.
The role involves supporting high-spending customers through technical onboarding, architectural recommendations, and the creation of proof-of-concept solutions. Additionally, the engineer will troubleshoot complex technical issues and relay customer feedback to the engineering team to drive product improvements.
Provide advanced technical support to resolve complex AI infrastructure issues and manage escalated tickets to maintain high customer satisfaction. Develop technical documentation and collaborate with engineering teams to identify root causes and implement system fixes.
Lead the team responsible for Runpod's global distributed storage infrastructure, owning the end-to-end stack from hardware to cluster deployment. Define and operate high-performance shared filesystems to support AI training, inference, and checkpointing workloads.
Lead the People team to drive organizational strategy, design scalable HR systems, and serve as a strategic advisor to the executive team. Oversee people operations infrastructure, including compensation, benefits, and compliance across a globally distributed workforce.
Lead the Revenue Operations function by owning CRM architecture, data infrastructure, and forecasting processes. Oversee Deal Desk and Enablement while aligning Sales, Marketing, and Customer Success into a unified revenue engine.
Own the quote-to-close process and commercial governance to ensure enterprise deal velocity and pricing consistency. Implement and manage CPQ infrastructure and AI-powered operational workflows to reduce manual overhead.
Design and manage scalable onboarding programs for all new employees and GTM functions including Sales and Customer Success. Develop sales playbooks, competitive intelligence systems, and AI-powered enablement tools to improve ramp time and revenue growth.
Lead strategic sourcing and high-value contract negotiations for cloud infrastructure to scale AI operations. Act as a bridge between procurement and legal teams while collaborating with engineering and finance to align procurement with growth goals.
Lead the GTM strategy and refine the narrative to differentiate Runpod in the competitive neocloud and AI infrastructure market. Create high-quality technical content and manage competitive intelligence to drive product adoption and revenue growth.
Build and manage the marketing operating system, including systems, data, attribution, and reporting to scale marketing motions. Partner across RevOps, Sales, and Finance to ensure trusted funnel reporting and efficient campaign execution.
Develop and maintain frontend user interfaces and backend APIs using Python, Typescript, and Go. Support the open-source SDK and collaborate with AI teams to enhance platform scalability and user experience.
