Scale AI jobs

Head of Security & Policy Research at Scale AI (Washington DC) leading Scale Labs' policy research team on AI safety and security. Responsibilities include research strategy, team leadership, partnerships with AI safety institutes, and coordinating research initiatives on frontier AI risks and control. Requires 6+ years academic/policy experience, research publications, and deep AI safety expertise. Salary $177k–$222k. This is a policy research/leadership role, not software engineering.

Business Development Representative at Scale AI in San Francisco, CA. Closing-capable role generating and qualifying enterprise AI pipeline, educating customers on AI capabilities, and transitioning opportunities to Account Executives. Requires 3+ years outbound sales, business development, or SDR experience and strong sales process skills. This is an enterprise sales function bridging to strategic account management, not software development.

Scale AI seeks a Platform PM to define core infrastructure, sequence work against customer commitments, and graduate FD-built patterns to core platform. Requires 6+ years in product management owning platform/infrastructure at production bar. Location: New York, NY (on-site implied).

Scale's Enterprise Applications team is hiring an AI Deployment Strategist to drive the successful launch and scaling of GenAI solutions for the company's largest enterprise customers. You'll own end-to-end deployment success—from initial strategy through execution and expansion—acting as the primary point of contact and decision-maker for customer outcomes while collaborating with internal ML, Engineering, Product, and Finance teams. Key responsibilities include ensuring on-time, high-quality project delivery with repeatable standards, identifying new business opportunities within accounts, unblocking cross-functional obstacles, and translating customer feedback into product improvements. Ideal candidates come from backgrounds like Palantir operational roles, strategy consulting at tier-one firms, or technical PMs/engineers, with 5-8 years in high-growth environments, strong technical credibility, and commercial instinct—plus the ability to translate between engineering requirements and CFO-level business impact. The role requires 30-50% travel including international trips, with a base salary of $192,800–$241,000 for US locations plus equity and comprehensive benefits. This is a high-ownership, outcome-driven position that rewards grit and problem-solving over seniority.

Scale AI seeks an Engagement Manager (Germany), Public Sector to lead and coordinate delivery of agentic workflows for a large federal account, requiring 5+ years' stakeholder management or customer-facing enterprise delivery experience, TS/SCI clearance, and basic GenAI/ML fluency. The role demands 50% initial travel to Germany with ultimate relocation there. This is a customer-facing program management role, not a software engineering position.

Manager of Commercial Partnerships in Robotics at Scale AI overseeing end-to-end success of workplace/industrial data collection program in Mexico. Leads field operations team, manages hardware deployments, and ensures data output accountability. Requires 5+ years operations/business development experience. Located in Mexico City, on-site.

Scale AI is seeking a Senior Staff Forward Deployed AI Engineer to serve as the technical bridge between its AI platform and enterprise customers, working directly with strategic clients to architect, deploy, and optimize custom AI solutions in production environments. The role combines hands-on engineering with customer-facing problem-solving across AI agent development, prompt engineering, data integration, and infrastructure deployment. You'll need 12+ years of software engineering experience, production Python expertise with modern ML frameworks (LangChain, LlamaIndex, OpenAI API), and proficiency with cloud platforms and data infrastructure; preferred qualifications include deep LLM knowledge, AI agent deployment experience, container/Kubernetes skills, and background in regulated industries like finance or healthcare. The position offers a competitive base salary of $288K–$360K USD in San Francisco, New York, or Seattle, plus equity and comprehensive benefits. This is a strategic role requiring both technical depth and the ability to translate customer needs into custom solutions—think multi-agent systems for due diligence research or voice agents for healthcare data extraction—with 12+ years of engineering experience being a firm requirement.

Scale AI is seeking a Staff Forward Deployed AI Engineer to serve as the technical bridge between the company's AI platform and its most strategic enterprise customers. You'll design and deploy custom AI solutions including agents, data pipelines, and integrations within customer environments, working directly with their engineering teams across domains like customer support, data analysis, and workflow automation. The role requires 8+ years of software engineering experience, production Python expertise with modern ML/AI frameworks (LangChain, LlamaIndex, HuggingFace), and familiarity with cloud platforms and data infrastructure; preferred qualifications include LLM/RAG expertise, agent development experience, infrastructure knowledge (Kubernetes, IaC), and customer-facing technical consulting background. This is a hands-on position combining deep engineering with customer problem-solving, involving prompt engineering optimization, multi-agent system architecture, and debugging across full technical stacks. Scale AI works with enterprises and governments (Meta, Cisco, Mayo Clinic, U.S. military agencies) to build production AI applications; the role offers a base salary of $252,000–$315,000 USD for San Francisco, New York, or Seattle locations, plus equity and comprehensive benefits. A notable detail: this role explicitly requires navigating enterprise security and compliance boundaries (SOC 2, GDPR, HIPAA) while deploying AI systems on customer infrastructure.

Scale AI is hiring a Senior Forward Deployed AI Engineer for their Enterprise team, a hands-on technical role that serves as the bridge between Scale's AI platform and strategic enterprise customers. Key responsibilities include designing custom integrations and data pipelines for customer environments, developing production-grade AI agents across domains like customer support and workflow automation, implementing prompt engineering and RAG systems, and serving as the primary technical contact for strategic accounts. You'll need 5+ years of software engineering experience, production Python expertise with modern ML/AI frameworks (LangChain, LlamaIndex, HuggingFace, OpenAI API), cloud platform experience, and strong communication skills; preferred qualifications include agent development experience, LLM expertise, infrastructure/DevOps skills, and customer-facing technical consulting background. Scale AI partners with enterprise leaders and government agencies to deploy reliable AI systems, and this role offers base salary of $216,000–$270,000 USD in San Francisco, New York, or Seattle, plus equity and comprehensive benefits. The role requires strong fundamentals in system design, the ability to navigate ambiguous customer requirements, and rapid prototyping skills across the full technical stack.

Scale AI is hiring a Forward Deployed AI Engineer for their Enterprise team to serve as the technical bridge between the company's AI platform and strategic enterprise customers. You'll design and deploy custom AI solutions, develop production-grade agents, optimize prompts, and integrate Scale's capabilities into customers' critical workflows—combining hands-on engineering with direct customer collaboration across cloud platforms, data pipelines, and AI systems. The role requires 4+ years of software engineering experience, production Python expertise with modern ML frameworks (LangChain, LlamaIndex, etc.), and cloud platform knowledge, plus strong communication skills to explain technical concepts to both technical and non-technical stakeholders. Preferred qualifications include LLM/agent development experience, infrastructure tools like Kubernetes and Terraform, and background in customer-facing technical roles or regulated verticals like finance or healthcare. Based in San Francisco, New York, or Seattle, the role offers $180K–$225K base salary plus equity and comprehensive benefits. This is a hands-on role requiring you to debug complex stack issues, rapidly prototype solutions, and translate customer needs into product improvements—ideal for someone who thrives working across the full AI development lifecycle.