You will contribute to frontend and backend development using Python, Typescript, and Go to build tools that bridge AI engineering and scalable infrastructure. Additionally, you will support the open-source SDK and collaborate with cross-functional teams to enhance user experience for AI researchers.
Runpod
20 Remote Job Openings at Runpod
Produce high-quality technical content, demos, and tools to drive developer awareness and product adoption. Build and maintain relationships within the developer community while providing feedback to internal product and engineering teams.
You will build developer tools, extensions, and plugins to improve the platform experience while creating technical content and demos. Additionally, you will engage with the developer community through talks, events, and feedback loops to shape product direction.
Provide advanced technical assistance to resolve complex customer issues across multiple channels including email, phone, and chat. Collaborate with engineering and infrastructure teams to troubleshoot performance, configuration, and server-related problems while maintaining technical documentation.
Provide advanced technical assistance to resolve complex customer issues across multiple communication channels. Collaborate with engineering and infrastructure teams to troubleshoot critical tickets and contribute to product improvements.
You will serve as the technical authority for Runpod's global GPU fleet, bridging hardware partners and internal engineering teams. Responsibilities include hardware validation, fleet health monitoring, incident response, and automating infrastructure operations using AI tools.
The Senior Product Manager will own the strategy, roadmap, and business performance for a high-impact area of Runpod's AI infrastructure platform. They will collaborate cross-functionally to drive product adoption, revenue growth, and long-term platform value through data-driven decision-making.
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 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.
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.
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.