Jobs at Lambda

Lead end-to-end consolidation across all legal entities, including intercompany eliminations, multi-currency, minority interest, and topside entries. Own NetSuite OneWorld consolidation processes, SOX controls, close calendar, and automation efforts. Partner with Tax, Technical Accounting, Financial Systems, and auditors to prepare consolidated financial statements, support audits, and build IPO-ready consolidation infrastructure. Mentor accounting staff and drive continuous improvement as the company scales internationally.

Partner with business teams to convert manual reporting and spreadsheet-driven workflows into trusted self-serve data products and automated tooling. Define metrics, build or scope dashboards and automation, triage and prioritize tool requests, write engineering-ready specs, and deliver lightweight fixes or handoffs to engineering. Measure success by reduced manual work, trusted dashboards, and time saved.

Lead investor relations analysis and earnings preparation, translate investor sentiment and market dynamics into insights, partner with finance and capital teams, guide a junior analyst, and shape external communications and investor messaging for executive leadership.

Provide hands-on IT support for hardware, software, and network issues; maintain IT assets and inventory; troubleshoot client OS and applications; perform basic networking tasks; document processes; implement technologies and support projects to improve infrastructure.

Lead design and implementation of high-performance distributed storage systems and protocols (object, block, file) for AI infrastructure. Set technical direction, author designs, mentor engineers, integrate with hardware (NVMe, DPUs, GPU-direct), optimize performance, build benchmarking and observability tooling, and drive cross-team deployments and incident response in multi-petabyte data center environments.

Lead hands-on hardware NPI and integration for Lambda's HPC platform: bring up OEM and white-label AI/ML, compute, storage, and networking systems; debug and resolve hardware issues; drive cross-functional production readiness, vendor engagement, BOM review, and fleet reliability at scale.

Design, deploy, and operate Kubernetes clusters across AWS and bare-metal datacenters. Build automation for provisioning, upgrades, and scaling. Own reliability, performance, and security of production workloads. Implement observability, logging, and alerting. Partner on cloud-native services and CI/CD; lead incident response and post-mortems; set platform standards and mentor engineers.

Lead a team focused on AI Cloud Platform development, ensuring feature delivery, scalability, and team growth while collaborating across departments.

Lead design and implementation of scalable supply chain, procurement, inventory, asset management, and financial workflows. Translate business requirements into system solutions (NetSuite, Coupa, PLM), drive testing, deployment, training, governance, master data initiatives, and continuous improvement across cross-functional stakeholders.

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.

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.

Own and drive observability product strategy for Lambda Cloud: define telemetry signals, build diagnostics to distinguish customer vs platform issues, partner with SRE/fleet/console/API teams, define SLIs/SLOs/SLAs, engage customers, and measure adoption to iterate and launch observability features across GPU clusters.

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.

Lead financial modeling, valuation, due diligence, and execution for M&A, strategic investments, and capital raises. Drive market and capital markets analysis, develop investment theses and financing strategies, build executive materials, and cultivate strategic partnerships to support company growth.

Support identification, evaluation, and execution of M&A, strategic investments, and partnerships for data center and digital infrastructure assets. Lead financial modeling, valuation, due diligence, and prepare business-case memos and executive presentations. Collaborate cross-functionally with infrastructure, site selection, finance, and legal teams; track industry trends and develop investment theses and market analyses.

Lead development and enforcement of Physical Infrastructure Cabling Standards across global data centers; author BoDs, SOPs, and MOPs; manage vendors and BOMs; support NPI and deployments; perform site assessments, QC/QA, and drive process improvements to optimize connectivity for GPU cluster deployments.

Lead end-to-end executive searches for C-suite, VP, and senior director roles across functions. Develop search strategies, partner with founders/board members, leverage industry networks, manage multi-stakeholder interview processes, ensure exceptional candidate experience, and craft compelling value propositions to attract executive talent for a high-growth AI/cloud company.

The role involves managing procurement and operations for AI infrastructure, including material planning, purchasing, and supplier coordination to ensure efficiency and alignment with strategic goals.

The Network Engineer will build and scale Lambda’s cloud network, manage hardware, ensure network availability, automate management, resolve issues, and maintain monitoring tools, participating in operations and on-call duties.