Top Tech Jobs & Startup Jobs

Legal intern supporting Commercial and Corporate Legal teams with customer, vendor, NDA, M&A, financing, and public-company matters. Responsibilities include creating contract triage playbooks, maintaining clause and template libraries, using AI tools for intake and issue spotting, drafting negotiation response templates, and assisting with CLM platform implementation. The role requires strong legal writing and analytical skills, contracts coursework, and at least one day per week in the San Francisco office.

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.

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.

Partner with business teams to convert manual reporting and spreadsheet workflows into trusted, self-serve data products and automated processes. Define metrics, build dashboards, scope and write engineering-ready specs, triage tool requests, and deliver lightweight automation or handoffs to engineering to improve reporting trust, reduce manual work, and increase efficiency.

Senior FP&A analyst responsible for budgeting, spend forecasting, capacity and fleet optimization, ROI and R&D analysis, NPI financials, headcount and OpEx planning, cash flow forecasting, and executive reporting. Partners with Engineering, Product, Infrastructure, Accounting, and Treasury to quantify opportunities, build financial models, track performance versus plans, and present actionable recommendations to leadership.

Protect Lambda's AI cloud by building and tuning SIEM/EDR detections, responding to incidents, hardening production systems, reviewing architectures and code, and shipping security tooling (Python/Go). Partner across engineering teams to mature detection, incident response, and automation for AI-specific threats.

Operate and scale bare-metal Kubernetes clusters at large scale, build control-plane services, operators, and automation for cluster lifecycle. Automate tooling in Go and Python, define SLOs/SLIs, run on-call rotations, troubleshoot incidents, and support customers integrating workloads, storage, and authentication.

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

Lead design and implementation of a highly available GPU/CPU host and instance lifecycle control plane. Drive hardware enablement, BIOS/firmware and DPU integrations, multi-tenant security, and durable execution models. Provide technical leadership across teams, translate customer and datacenter requirements into scalable infrastructure, and set engineering standards for mission-critical, large-scale AI cloud systems.

Design and implement a vendor-agnostic storage control plane for large-scale AI infrastructure. Build abstraction layers, reconciliation loops, CRD-based orchestration, capacity/placement engines, multi-tenant isolation, and observability to ensure performant, resilient storage across vendors and datacenters.