Top Tech Jobs & Startup Jobs

Define and execute the product vision and roadmap for Runpod’s AI cloud platform, including GPU infrastructure, serverless endpoints, APIs, foundational services, and developer experience. Lead and scale the product and design organization, engage customers, partner with engineering and infrastructure leadership, establish pricing and packaging, guide go-to-market strategy, and prioritize initiatives using product analytics and customer insights.

Lead Runpod’s Americas sales organization and revenue number across new business, expansion, and renewals. Manage and coach Account Executives and Account Managers, oversee forecasting and pipeline, lead complex enterprise deals and contract negotiations, build regional go-to-market strategy and sales playbooks, and convert product-led demand into revenue. Partner with Marketing, Product, Legal, and Finance while improving sales efficiency through AI and developing a remote-first team.

Lead Revenue Operations, owning CRM architecture, data infrastructure, forecasting, reporting, compensation and territory design, and oversight of Deal Desk and Enablement. Drive GTM alignment, implement revenue technology and AI-powered automation, and support PLG and enterprise motions to scale ARR and operational efficiency.

Lead Runpod’s outsourced BDR program end to end, including vendor governance, staffing, enablement, coaching, quality assurance, funnel handoffs, forecasting, reporting, experimentation, and CRM integrity. Build scalable outbound strategies targeting technical buyers, manage performance against pipeline and conversion outcomes, and translate market feedback into improvements for Sales, Marketing, Product, and Partnerships.

Provide advanced L2 technical support for Runpod customers: troubleshoot escalated issues, analyze logs and code, use scripting and diagnostics, liaise with engineering and infra teams, create documentation and training, and deliver multi-channel support including weekend availability.

Drive full-cycle enterprise sales to acquire strategic AI/ML and infrastructure customers. Prospect, qualify, negotiate complex high-ARR deals, manage pipeline and forecasts, partner with engineering, and ensure smooth handoffs to customer success. Represent Runpod at customer meetings and industry events.

Lead strategy, roadmap, and business performance for a core AI infrastructure product area. Drive customer research, KPI-driven roadmaps, business cases, cross-functional launches, and measurable outcomes for adoption, retention, revenue, and platform expansion.

Own the technical lifecycle and operational health of Runpod’s global high-density GPU fleet. Responsibilities include hardware validation and benchmarking, fleet monitoring, SLA and downtime auditing, network and systems troubleshooting, incident coordination, partner technical support, AI-assisted operational automation, and infrastructure tooling. The role requires Linux, Docker, NVIDIA GPU, datacenter networking, and performance-tuning expertise, with potential future on-call participation.

Manage a portfolio of existing accounts to drive retention, renewals, upsells, and expansion. Monitor account health and usage, conduct business reviews, build account plans and forecasts, liaise with product/engineering/support, maintain CRM data, handle renewals and negotiations, and occasionally travel to customers or industry events.

Design, build, and maintain cloud infrastructure software (primarily in Go) to manage VMs across global data centers. Collaborate on product requirements, participate in code reviews, optimize performance and reliability, contribute to architecture decisions, and stay current with industry trends.