Lambda

HQ
San Francisco
750 Total Employees
Year Founded: 2012

Jobs at Lambda

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Recently posted jobs

21 Hours AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Lead development and implementation of Physical Infrastructure Cabling Standards (PICS) across global data centers. Create SOPs/MOPs, BOMs, and documentation; support NPI, vendor management, design reviews, deployments, QC/QA, and continuous improvement for high-density GPU/HPC deployments.
YesterdaySaved
Hybrid
2 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Lead end-to-end executive searches for C-suite, VP, and senior director roles across functions; develop search strategies; partner with founders and board members; leverage industry networks in cloud, AI, and semiconductors; manage multi-stakeholder interviews and candidate experience; craft value propositions to attract startup executive talent.
YesterdaySaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Build and maintain scalable Kubernetes control plane services, operators, and automation for cluster lifecycle. Develop internal tools, APIs, and CLIs; tune Kubernetes, define SLOs/SLIs, debug distributed cluster issues, assist customers, collaborate with HPC/Datacenter Ops, and participate in on-call rotation.
YesterdaySaved
Remote or Hybrid
4 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
The Network Engineer will build and scale cloud networks, ensure high availability, automate configurations, and manage network operations. Requires extensive experience in IT and networking, focusing on Data Center networks and public cloud integration.
2 Days AgoSaved
Hybrid
San Jose, CA, USA
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Lead and oversee ASC 606-compliant revenue recognition, controls, and financial reporting. Partner with Sales, RevOps, Legal, Engineering, and auditors; automate and scale processes; review disclosures; provide technical accounting guidance; mentor and build a revenue accounting team; and support ad-hoc technical accounting projects.
4 Days AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Lead annual budgeting, rolling forecasts, consolidated financial modeling, and variance analysis across entities and SPVs. Maintain FP&A planning systems, support headcount and OpEx planning, produce executive reporting, and drive ad hoc scenario modeling and cost optimization projects.
5 Days AgoSaved
Hybrid
San Jose, CA, USA
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Manage the Accounts Payable process, including vendor invoices, payments, reconciliations, and communication with vendors. Analyze payments and optimize procedures using technology.
5 Days AgoSaved
Hybrid
San Jose, CA, USA
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
The Senior Manager of Technical Accounting & Financial Reporting will lead S-1 preparation, ensure compliance with U.S. GAAP, prepare financial statements, and improve accounting processes. This role requires strong valuation skills, collaboration across departments, and team development.
5 Days AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Lead the AI Cloud Core Platform team, focusing on product delivery, team development, and collaboration across disciplines while managing high-performance systems.
5 Days AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Lead and scale Lambda Cloud's enterprise sales organization: recruit and coach sellers, design commercial frameworks and territory models, own strategic deals, maintain rigorous pipeline and forecasting, align capacity planning with revenue, and translate customer feedback into product and commercial priorities.
8 Days AgoSaved
Remote or Hybrid
3 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Operate and scale a multi-tenant cloud networking platform and SDN infrastructure, manage Kubernetes control plane and SmartNIC dataplane software, build automation and CI/CD/GitOps workflows, deploy observability and monitoring, participate in on-call incident response, and collaborate across software, platform, and networking teams to improve reliability and deployments.
9 Days AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Underwrite and model site investments for data center development and leasing; prepare executive reporting; support transactions (LOIs, PSAs, leases), diligence, and closings; define location strategy using power, demand, and competitive analysis; maintain market intelligence and comps to inform investment recommendations.
14 Days AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
The AI Research Marketing Intern will develop social media strategies, create and edit content, and utilize AI tools to enhance marketing efforts.
14 Days AgoSaved
Remote or Hybrid
3 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
The Account CTO will be responsible for strategic technology leadership, defining technical strategies, and driving cloud transformation initiatives at an enterprise level while mentoring technical talent and influencing product strategy based on customer needs.
14 Days AgoSaved
In-Office
2 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
As Counsel, you'll manage legal workstreams for debt finance, collaborate with various teams, and draft legal documents. You'll ensure compliance and improve processes in capital formation strategies.
14 Days AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Lead the Enterprise Performance Management platform at Lambda, focusing on Workday HCM and Payroll deployment, reporting, compliance, and team building while partnering with financial teams to enhance business performance through data integration and governance.
14 Days AgoSaved
Remote or Hybrid
3 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
The Senior Platform Engineer will enhance software delivery by developing internal tools, managing CI/CD infrastructure, and improving developer workflows. Collaborating closely with teams, the engineer will contribute to architectural decisions, participate in on-call rotations, and ensure system reliability.
16 Days AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Lead design and implementation of scalable supply chain, procurement, inventory, asset, and financial processes. Translate requirements into system solutions (NetSuite, Coupa, PLM, Asset Management), drive UAT, deployment, training, and change management. Improve procurement workflows, master data governance (Item Master, BOM), reporting, and operational controls while facilitating cross-functional alignment and continuous process improvement.
16 Days AgoSaved
Remote or Hybrid
3 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Design, develop, and maintain high-performance distributed storage software and protocol APIs (file, block, object). Build scalable, resilient storage services, integrate with hardware (NVMe, GPU-direct), troubleshoot production data center issues, and participate in full SDLC for on-prem storage solutions.
16 Days AgoSaved
Remote or Hybrid
3 Locations
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Lead design and implementation of high-performance distributed storage systems across object, block, and file paradigms. Drive architecture, mentor engineers, integrate storage with networking/compute/DPUs, optimize protocol performance, troubleshoot production data center issues, build benchmarking and observability tooling, and collaborate on cross-functional AI infrastructure deployments.