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

Lead end-to-end delivery of the Scale Generative AI Platform by aligning cross-functional teams, translating infrastructure complexity into executable roadmaps, mitigating technical risks, defining SLOs, and driving company-wide adoption of scalable, secure model-serving and orchestration capabilities.

Lead end-to-end AI advisory engagements in a chosen vertical: qualify and sell advisory in pre-sales, run discovery workshops, scope SOWs, deliver final readouts, build vertical POV and playbooks, coordinate technical and design partners, and manage and coach a Consultant. Frequent travel (30–60%) required.

Lead the Agent & Reinforcement Learning Environments data vertical, owning roadmap, data-as-product, pipelines, tooling, and evaluation frameworks. Partner with AI research teams and customers to scope and scale RL environments, drive cross-functional execution across engineering, operations, and go-to-market teams, and translate research needs into product outcomes.

Design, build, and maintain foundational platform systems and cloud infrastructure supporting Scale's AI data and RLHF products. Collaborate with cross-functional teams to define features, improve engineering practices, and drive platform reliability, deployment, and CI/CD workflows.

Lead and run AI advisory engagements: conduct market research, impact sizing, synthesis, and workshops; manage timelines and cross-functional coordination; build reusable playbooks and AI-powered automation to accelerate delivery and commercial expansion.

Design and implement cloud-native backend systems for federal customers enabling agentic AI capabilities. Build data pipelines, optimize retrieval, create guardrails and agent orchestration, define requirements with stakeholders, and participate in customer engagements to deliver secure production features.

The Enterprise Account Executive will drive revenue growth in financial services by selling AI solutions to major banks and fintechs, managing the full customer lifecycle, and building strategic relationships with executives.

Design and run Scale AI's enterprise GTM operating model and RevOps stack. Own metrics, forecasting, compensation, dashboards, and sales cadences; partner with cross-functional leaders to drive predictable enterprise revenue growth and eventually build a GTM/RevOps team.

As a Senior Software Engineer, you will lead the development of scalable backend systems, manage feature development lifecycles, and engage with stakeholders to translate mission needs into technical requirements while ensuring implementation meets criteria.

Design and implement end-to-end AI agent systems, collaborate with cross-functional teams, and oversee deployment and performance evaluation in production environments.