You will create original illustrations and technical diagrams to simplify complex AI infrastructure concepts for various marketing and product channels. Additionally, you will manage the expansion of the brand's visual library and collaborate with cross-functional teams to ensure consistent design quality.
Build and maintain automated testing frameworks and integration, API, and end-to-end tests for Runpod’s distributed cloud platform. Design performance, load, stress, and fault-injection tests; integrate continuous testing into CI/CD; analyze telemetry and logs; and collaborate with Engineering and SRE teams to improve reliability and support production incidents.
Manage the Level 1 support ticket queue, resolve basic technical and non-technical issues, communicate clearly with customers, and escalate complex or unresolved cases to the appropriate teams. Diagnose reported system issues, document new solutions for the knowledge base, and follow up to help ensure customer issues are resolved.
Manage a concentrated portfolio of strategic accounts by driving retention, expansion, and high-touch executive engagement. Partner with Forward Deployed Engineers to align technical outcomes with commercial growth and influence product priorities.
Lead the accounting organization by setting strategy, structure, and priorities while ensuring accurate financial reporting and compliance. Manage the monthly, quarterly, and annual close processes while partnering with leadership to scale financial systems and controls.
Lead complex, cross-functional programs across product and platform teams to build and scale AI infrastructure. Partner with engineering leads to define architecture, manage technical risks, and ensure the safe rollout of platform changes.
The Director of Security will lead and scale the security organization, overseeing cloud platform, infrastructure, and corporate security. They are responsible for implementing compliance frameworks, driving secure product development, and managing incident response to ensure a resilient environment.
You will design and implement robust workload isolation architectures for multitenant GPU environments while hardening kernel and container runtimes. Additionally, you will conduct infrastructure threat modeling and write low-level code to patch security vulnerabilities at the OS and hardware interface levels.
The Senior Video Producer will own the end-to-end video production process, including intake, scheduling, and delivery for all marketing assets. They will also build and maintain a library of video templates and formats while directing external contractors to ensure high-quality output.
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.
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.
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.
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.
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.
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.
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.
