Jobs at Runpod

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.

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.

Lead strategy, roadmap, and business performance for a core AI infrastructure product area. Conduct customer discovery, build business cases, define KPIs, prioritize roadmap tradeoffs using data, and partner cross-functionally to launch features that drive adoption, retention, revenue, and platform expansion while ensuring reliability, scalability, and measurable business impact.

Lead a small People team, partner with the COO and execs on people strategy and org design, build scalable people operations (HRIS, benefits, compliance), design compensation and performance systems, manage budget and vendor relationships, ensure legal compliance, and drive culture, engagement, and employee experience across a remote, global workforce.

Own quote-to-close, CPQ administration, and commercial deal governance for enterprise contracts. Partner with Sales, Finance, Legal, and Customer Success to ensure pricing consistency, revenue recognition alignment, CRM accuracy, and accelerated deal velocity while implementing AI-assisted deal operations and scalable contract lifecycle processes.

Build and maintain frontend and backend platform components for AI infrastructure using Python and TypeScript. Support and develop the open-source SDK, create APIs and UIs, collaborate with engineering and AI teams, write tests, and follow CI best practices. Participate in code reviews, mentorship, and continuous learning to improve platform scalability and developer experience.

Lead strategic sourcing and high-value negotiations for cloud infrastructure procurement. Manage vendor relationships, act as legal liaison, perform financial and risk analysis, and align procurement strategy with engineering and finance. Drive cost optimization and complex contract structuring for large-scale cloud deployments.

Lead a product engineering team to own roadmap delivery for customer-facing console, APIs, and developer workflows. Plan roadmaps, drive system architecture, ensure quality/reliability, run execution processes, hire and mentor engineers, coordinate cross-functional dependencies, and incorporate customer feedback to improve product adoption and performance.

Lead and grow a distributed datacenter storage engineering team owning end-to-end storage from NAND/NVMe to filesystems. Design and operate SAN, NFS, and parallel filesystems (VAST, Lustre), optimize performance (RDMA, GDS), ensure reliability, automation, observability, and collaborate with networking, GPU platform, SRE, and product teams.

Design and run company-wide and GTM onboarding programs for Sales, SDRs, and Customer Success. Build playbooks, ramp milestones, competitive intelligence, training, and reporting. Partner cross-functionally with Revenue Ops, People, Product, Marketing, and Sales leadership. Leverage AI tools to scale enablement content, coaching, and conversational intelligence, and track ramp, win rates, conversion, and expansion metrics to continuously improve programs.

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.

Lead product marketing for Runpod's AI infrastructure platform: define positioning and messaging, run launches, own competitive intelligence and sales enablement, create technical long-form content, build AI-assisted content workflows, conduct customer research, and align GTM across product, marketing, and sales to drive awareness, adoption, and revenue.

Lead and execute marketing operations: build systems and workflows across HubSpot, Salesforce, Webflow, analytics and attribution; ensure clean campaign tracking, lead routing, PQL/MQL definitions, funnel and revenue reporting; run QA, documentation, and cross-functional rhythms with RevOps, Sales, Finance, Product, and Data to provide decision-ready marketing measurement.