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Lead annual budgeting, rolling forecasts, and consolidated financial modeling across entities and SPVs. Manage OpEx, CapEx, headcount planning and variance analysis, produce executive/board reporting, maintain FP&A planning systems, and support intercompany eliminations. Perform monthly/quarterly budget vs actuals, drive performance analysis, and contribute to long-range planning, scenario modeling, and cost optimization projects.

Lead SOX testing and ICFR for finance and operations, perform walkthroughs, design assessments, testing, and remediation. Manage documentation, coordinate with finance and cross-functional stakeholders, oversee co-sourced testers, and report results to senior management and the Audit Committee.

Coordinate end-to-end RMA activities including receiving, tracking, vendor communications, packaging/shipping, inventory transfers, and SLA compliance. Maintain real-time tracking, generate productivity reports, support customer service RMA processing, and improve RMA SOPs and workflows while collaborating cross-functionally.

Lead and scale Lambda Cloud's enterprise sales organization: recruit and coach sellers, define GTM and commercial terms, manage pipeline and forecasting, align capacity allocation with customer demand, close strategic, high-value accounts, and channel customer feedback into product and capacity roadmaps.

Lead design and implementation of enterprise systems and integrations (NetSuite, Coupa, billing platforms), automate workflows using iPaaS and AI tools, ensure SOX/ITGC compliance, troubleshoot issues, and deliver analytics and system improvements across finance, supply chain, and customer platforms.

Lead technical pre-sales for Lambda's AI cloud: design and propose high-performance GPU infrastructure, run PoCs and benchmarks, architect and optimize distributed AI/ML workloads, advise on networking/storage, collaborate with sales and product teams, create enablement materials, and mentor junior SEs.

Operate and scale Lambda's multi-tenant cloud networking and SDN infrastructure; run Kubernetes control plane and SmartNIC dataplane software; build automation, CI/CD and GitOps workflows; deploy monitoring and observability; collaborate across teams, drive incident response and on-call rotation, capacity planning, and postmortems to improve reliability.

Provide senior-level technical escalation and support for GPU/HPC cloud infrastructure. Troubleshoot hardware, drivers, kernel, networking, and workload issues; perform root-cause analysis across clusters; build automations and documentation; mentor junior engineers; participate in on-call rotations and incident response; collaborate with engineering to implement permanent fixes.

Manage and improve hardware quality across data center deployments: track and analyze failures, perform RCA, drive CAPA and containment, oversee RMAs and MRB, verify spares, update QMS, define quality KPIs, and collaborate with operations, engineering, supply chain, and vendors.

Build and maintain GPU/CPU compute infrastructure for bare-metal and VM provisioning. Implement distributed systems to orchestrate compute resources, troubleshoot production issues, own on-call incidents, and collaborate across teams to improve developer and customer compute experiences.