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

Leads enterprise client engagement, solution design, operational process creation, cross-functional project delivery, workflow optimization, team reviews, staff mentoring, performance analysis, and real-time analytics initiatives. The role bridges enterprise clients, global talent, and internal product, engineering, and operations teams while building scalable processes and supporting the launch of a next-generation marketplace.

Work directly with clients to scope, prototype, and deploy AI-powered workflows. Build scalable systems using LLMs, embedding and retrieval systems, and backend infrastructure. Translate messy data and operational constraints into production-ready solutions, iterate with stakeholders, and maintain deployed systems (including on-call support).

Lead end-to-end AI solutions as a forward-deployed engineer: scope, design, and deploy ML/LLM systems; partner with clients and stakeholders; build infrastructure, data pipelines, and reusable platform components; mentor engineers; own projects from discovery through production and provide on-call support.

Staff qualified contractors onto client projects by sourcing, screening, matching, onboarding, and tracking them through their first billed hour. The role manages high-volume contingent staffing, collaborates with delivery and operations teams, maintains ATS and staffing data, redeploys contractors, and reports on fill rates, time-to-staff, time-to-billing, and utilization.

Build and maintain evergreen technical talent pipelines for data engineering, machine learning, and full-stack roles. Source and engage candidates, coordinate with sales, delivery, engineering, and hiring leaders, define technical assessments, manage full-cycle recruiting, optimize sourcing and conversion metrics, and maintain candidate readiness for rapid deployment. This is a 3–6 month contract engagement at approximately 40 hours per week.