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

Build and own technical enablement for customer-facing engineers, including role-based onboarding, ramp criteria, knowledge-base governance, ongoing technical development, and readiness programs. Partner with engineering, enablement, product, sales, and delivery stakeholders; manage concurrent programs, track milestones, maintain documentation health, identify readiness gaps, and report program outcomes to leadership.

Build and operationalize Scale’s enterprise compliance and GRC programs across ABAC, gifts and entertainment, conflicts of interest, third-party risk, sanctions, policy management, training, and ERM. Translate regulatory and contractual obligations into processes and controls, develop compliance metrics and reporting, support audits and certifications, and manage customer and investor diligence questionnaires. Partner cross-functionally with Legal, Procurement, Finance, Security, and go-to-market teams across international business lines.

The Finance Systems & Automations Manager designs and implements integrations and automations across Finance, Accounting, People, and Recruiting, improving operational efficiency through AI-driven workflows.

Lead cross-functional initiatives to drive multimillion-dollar revenue: partner with product and engineering, own data-labeling operations for strategic projects, provide executive updates, and solve high-impact operational and product problems.

Lead and scale a multidisciplinary engineering organization to build the Physical AI Data Engine. Own data collection infrastructure, teleoperation systems, ML training pipelines, evaluation frameworks, annotation tooling, and cross-functional alignment with Operations and GTM to productionize robotics and embodied AI workloads.

Lead corporate and product communications for Scale’s enterprise AI business: craft narratives for product launches, customer and partner announcements, and executive visibility; develop media strategies and press materials; coordinate joint messaging with partners; build reporter relationships; collaborate across legal, policy, marketing, and social; prepare executives for external engagements; run multi-channel campaigns and monitor coverage to refine communications impact.

Own Scale’s end-to-end commercial acquisition of proprietary training data for AI environments. Identify high-value data domains and organizations, develop partnership and pricing structures with Legal, conduct outreach, negotiate and close transactions, and translate dataset requirements between commercial and Research teams. Build the acquisition function from the ground up, converting initial hands-on learnings into a repeatable pipeline.

The Research Scientist will design methods and experiments for AI control and monitoring, focusing on safety and robustness in advanced AI systems. Key tasks include developing monitoring techniques, researching layered control mechanisms, and collaborating with policymakers and industry experts.

Lead development of generative AI platforms for U.S. government, ensuring ethical deployment and compliance, managing the full product lifecycle, and engaging stakeholders.

Lead strategic initiatives for data collection projects to drive revenue, ensure operational efficiency, and manage diverse global teams.