You will own LLM serving performance end-to-end by measuring, diagnosing, and optimizing inference across various models and hardware. This involves building rigorous benchmarking tools and implementing production-ready runtimes to improve latency and cost efficiency.
Manage a portfolio of strategic accounts by driving retention, expansion, and high-touch executive engagement. Collaborate with Forward Deployed Engineers to align technical outcomes with commercial growth and influence product priorities.
Support customer onboarding and sales by explaining Runpod technologies, recommending architectures, and building proof-of-concept solutions. Resolve complex technical issues, coordinate with support, engineering, infrastructure, sales, and product teams, and contribute customer feedback, documentation, and training to improve the platform.
Validate hardware deployments, monitor fleet health and downtime, and support uptime and customer SLA goals across Runpod’s global GPU infrastructure. Coordinate technical incident communications, support infrastructure partners, and use AI tools to automate network triage and generate runbooks.
Drive new strategic deals with enterprise and high-growth customers by managing the full sales cycle from prospecting to closing. Collaborate with engineering and product teams to design tailored AI infrastructure solutions while maintaining accurate sales forecasts and CRM records.
Lead and grow the analytics function by managing a team of practitioners and setting the strategic roadmap for data-driven decision-making. Define core business metrics and build scalable self-serve analytics layers to support product, finance, and go-to-market leadership.
You will own the capacity, durability, and performance of the multi-region storage ecosystem, including network volumes and S3-compatible object storage. You will also write production code to automate operations, tune I/O paths, and lead capacity expansions while participating in an on-call rotation.
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.
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 communication channels. Collaborate with engineering and infrastructure teams to troubleshoot critical tickets and contribute to product improvements.
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.
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.
