Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

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.

Design, implement, and operate internal IT systems and platforms to improve availability, scalability, and efficiency. Automate responses to recurring issues, collaborate with engineering teams on architecture and standards, perform capacity planning, performance analysis, and system tuning, and produce documentation for systems ownership.

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.

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.

The Senior Incident Manager leads incident response for AI infrastructure, coordinates cross-team collaboration, oversees incident resolution and post-incident reviews to enhance operational resilience.

Owns technical customer deployments from signed contract through production readiness. Validates GPU, cloud, connectivity, storage, and compute configurations; troubleshoots issues; coordinates Infrastructure, Engineering, Product, and Data Center teams; tracks risks and dependencies; provides stakeholder updates; guides onboarding; and develops reusable runbooks and automation before transitioning stable customers to the account team.