You will serve as the technical authority for Runpod's global GPU fleet, bridging hardware partners and internal engineering teams. Responsibilities include hardware validation, monitoring fleet health, automating network triage, and managing incident support.
Define and execute the product vision and roadmap for Runpod's AI cloud platform while managing the end-to-end product lifecycle. Lead and scale a high-performing product and design team while partnering with engineering and GTM leadership to ensure platform reliability and growth.
You will lead the Americas sales team, managing the full revenue lifecycle including new business, expansion, and renewals. You are responsible for building the regional go-to-market strategy, coaching the team, and closing complex, high-value deals.
The Director of Revenue Operations will lead the revenue organization's systems, data infrastructure, and forecasting processes to support enterprise growth. They will oversee Deal Desk and Enablement functions while partnering with cross-functional teams to ensure operational scalability.
The BDR Manager will lead the outsourced BDR program by setting strategy, managing vendor relationships, and coaching the external team to drive qualified pipeline. This role involves defining outbound motions, ensuring CRM integrity, and collaborating cross-functionally to optimize conversion and performance.
The Forward Deployed Engineer will provide technical expertise to customers, resolve complex technical issues, and build proof-of-concept solutions. They will also collaborate across engineering, sales, and support teams to drive product improvements and ensure a seamless customer experience.
The Technical Program Manager will lead complex, cross-functional programs within the Supply organization to ensure GPU capacity meets demand. This involves managing relationships with infrastructure partners, driving project plans, and translating utilization data into actionable planning recommendations.
You will design and implement robust data pipelines and a cutting-edge data warehousing platform to support scalable analytics. Additionally, you will collaborate with cross-functional teams and mentor engineers to foster a culture of data excellence.
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.
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.
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.
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.
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.
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.
