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

Own cost forecasting and budget-versus-actual for data center build-outs, maintain dollars-per-GPU-hour unit costs, evaluate site economics and TCO, translate hardware timelines into cash forecasts, and build dashboards to report committed capital, spend-to-date, and forecast-to-complete.

Lead and improve the end-to-end qualification process for new compute capacity, running parallel provider evaluations across compute, networking, storage, power, cooling, and operations. Coordinate engineering teams, review specs and test data, perform first-pass analyses, and deliver clear go/no-go recommendations and auditable evaluation records to inform sourcing decisions.

The Senior Technical Recruiter will lead the recruitment of AI researchers and engineers, working with leadership to define hiring strategies, enhance candidate experiences, and improve recruiting processes.

Own day-to-day product work across AI infrastructure (GPU clusters, managed storage, observability). Identify and drive resolution of hidden problems, run hypothesis-driven experiments, instrument data collection, and partner with engineering and cross-functional teams. Ramp to full ownership of an area (observability or storage) within months.

Own and maintain the end-to-end revenue forecast and model, analyze performance and variance drivers, build repeatable forecasting processes and dashboards, partner with GTM/Product/Engineering to identify revenue levers, and support long-range financial planning and strategic initiatives.

Lead and build the technical accounting function: set U.S. GAAP policies (ASC 606, 842, 360, 470/835, 805, 718, 505, 808), advise on complex transactions, manage investor reporting and annual audits, establish SOX/internal controls readiness, and drive scalable processes, close support, and cross-functional accounting partnerships in a high-growth AI infrastructure environment.

Design and implement manifest-driven provisioning and reconciliation systems for GPU hosts and clusters. Build durable workflow engines, declarative self-service APIs, event-driven automation, self-healing pipelines, and production-grade control planes. Own coding, testing, CI/CD, and operate the platform in production to eliminate manual provisioning.

As a Senior Developer Productivity Engineer, you will enhance CI/CD processes, optimize workflows, and build tools for efficient software delivery.

Provide legal support for infrastructure procurement and enterprise commercial deals. Lead negotiations for GPU/cloud capacity, data center, networking, and vendor agreements; align vendor terms with customer contracts; manage export controls and data/privacy compliance; build templates, playbooks, and scalable procurement and sales workflows; support partnerships, reseller and go-to-market deals; and run procurement processes and vendor template libraries.

The Staff Machine Learning Engineer will optimize the inference layer for voice applications, focusing on model serving and real-time audio processing. Responsibilities include driving performance architecture, collaborating with model partners, and developing evaluation frameworks for STT and TTS models.