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

Build and deploy production-grade AI agents within enterprise customer environments. Define solutions around business workflows, design and run evaluations, improve agent performance, and own end-to-end delivery. Collaborate with Product and Platform Engineering, establish reusable agent frameworks and engineering practices, develop customer domain expertise, and surface deployment insights for product strategy. The role requires strong backend-focused full-stack engineering, production AI experience, systems thinking, communication, and comfort working with senior enterprise stakeholders.

Serve as the primary strategic partner for enterprise employer partners, build senior stakeholder relationships, align on hiring objectives, drive product adoption, deliver training and consultative guidance on early-talent recruiting, use data to measure ROI and inform strategy, and coordinate cross-functional teams to implement workflows and process improvements.

The Staff Software Engineer will lead development of features for connecting students with employers, architect systems, mentor peers, and drive technical initiatives.

Architect and manage scalable cloud infrastructure, CI/CD pipelines, GitOps workflows, and infrastructure-as-code practices. Drive platform automation, developer velocity, observability, incident response, and cloud-native architecture. Partner with engineering, platform, and security teams; mentor engineers; and explore AI-driven infrastructure automation. The role emphasizes GCP, Kubernetes, Terraform or Crossplane, Buildkite or GitHub Actions, and ArgoCD or Flux, with optional FinOps, cloud security, and service mesh experience.

As the Strategic Projects Lead, you'll coordinate coding-data initiatives, design assessments, create review processes, and ensure quality delivery while managing relationships with technical teams.

Own retention and growth for a mid-market book: run renewals, identify expansion opportunities, upsell/cross-sell, lead executive value conversations, forecast renewals, partner with CSMs, present data-driven QBRs, and serve as escalation and commercial relationship owner.

Own end-to-end relationships for $100M+ frontier AI lab accounts, translating ambiguous goals into clear priorities, partnering with delivery teams, making high-judgment tradeoffs, driving expansion and renewal, and defining KPIs and SLAs to ensure customer and leadership alignment.

The Engagement Management Lead will drive customer relationships by managing the full engagement lifecycle, ensuring successful implementation, and translating customer needs into actionable programs.

Build and operate shared ML/AI infrastructure: data pipelines, feature stores, training, model serving and LLM platform work. Scale inference and training (GPU, batching, autoscaling), enable evaluation and post-training workflows, and partner with AI, data science, and product teams to productionize models and improve platform reliability and developer experience.

Evaluate and improve coding agents by assigning real software engineering tasks, reviewing model-generated work, completing real coding problems, and identifying model failures. The role is a fixed-pay contract offering $6,000 per week for 40 hours, with flexible scheduling and ongoing weekly work. Candidates need at least four years of professional software engineering experience, a computer science or related degree, U.S. work authorization, strong written English, and availability for 40 hours weekly.