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

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.

Lead investor relations analysis and earnings preparation, translate investor sentiment and market dynamics into actionable insights, partner with FP&A and Capital Markets, guide a junior analyst, and support executive communications and capital-raising coordination.

Lead the security product surface for Lambda's cloud: define and deliver IAM and KMS features, tenant isolation, audit and compliance capabilities, and partner with security and platform engineering to prioritize enterprise-enabling security while minimizing customer friction.

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.

Design, deploy, and operate Kubernetes clusters across AWS and bare-metal datacenters. Build automation for lifecycle management, ensure reliability, performance, and security of workloads, implement observability, partner with product teams on cloud-native services and CI/CD, lead incident response and mentor engineers.

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.

Build and maintain scalable Kubernetes control-plane services, operators, and automation for GPU-accelerated AI workloads. Implement GPU-aware orchestration, integrate high-performance networking (InfiniBand/RDMA/GPUDirect), ensure observability (Prometheus, Grafana, tracing), develop inference platform services, create internal CLIs/tools, and support production systems via on-call rotations.

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.