Top Tech Jobs & Startup Jobs

Lead Public Cloud FP&A: own consumption-based revenue forecasting, OpEx and headcount planning, GTM finance partnership, segment and pricing analysis, internal allocation, and executive reporting to drive revenue, margin, and capital efficiency.

Build and maintain scalable Kubernetes control-plane services, operators, and automation for GPU-aware orchestration. Partner on networking (CNI, InfiniBand/RDMA/GPUDirect), observability, inference platform services, tooling/CLIs, and on-call production support for large-scale AI clusters.

Design, develop, and maintain high-performance distributed storage software and protocols (file, block, object). Integrate with hardware (NVMe, DPUs, GPU-direct), optimize performance and scalability, troubleshoot production data centers, collaborate with networking, compute, control plane and observability teams, and lead/mentor engineering teams.

Design and implement a vendor-agnostic storage control plane for high-performance AI clusters. Build Kubernetes CRD-based orchestration, reconciliation loops, multi-tenant isolation, capacity and placement engines, and observability for petabyte-scale storage across diverse vendors and protocols.

Draft, review, and negotiate high-value commercial agreements (customer, data center, partner/reseller, distributor, marketing). Lead enterprise deal negotiations, advise cross-functionally on contract structure and risk, use legal technology to streamline contracting, and improve templates and playbooks while providing practical business-focused legal guidance.

Lead technical accounting research and memos for complex U.S. GAAP transactions; analyze accounting impacts for revenue, equity, debt, business combinations, leases, and stock-based compensation; support IPO readiness, S-1/10-K preparation, consolidated financial statements, audits, SOX readiness, and cross-functional guidance. Contribute to M&A, system implementations, and controls/process improvements.

Own the billing and metering product for a large GPU cloud: define per-minute metering, ensure billing accuracy and reconciliation, manage credits and invoicing lifecycle, enable pricing and contract launches, expose billing via public APIs, productize commerce-related areas like fraud and bad-debt, and instrument and iterate on customer billing experiences.

Lead and grow the Platform product group (Security, Observability, Billing) as a player-coach. Own platform product strategy and roadmap, hire and manage PMs, partner with platform engineering, deliver horizontal capabilities for Lambda's AI cloud (billing, identity, telemetry), make data-driven decisions, and ensure enterprise-grade trust and accurate usage-based billing.

Own the GPU hardware product roadmap and fleet lifecycle. Lead NVIDIA platform introductions, define node and cluster configurations, align partner roadmaps, translate customer demand and benchmarks into investment recommendations, and partner with data center, supply chain, and engineering teams to launch, measure, and iterate on hardware offerings.

Own and improve reliability, performance, and capacity of Lambda's production storage fleet. Build monitoring, alerting, CI/CD, and self-healing automation; troubleshoot storage incidents and low-level I/O/network issues; automate deployments and incident workflows; participate in on-call to reduce MTTR.