Search the 88 jobs at Scale AI

The Engagement Manager for the Public Sector will oversee projects that aid in the transition from traditional software to AI, helping organizations implement AI technologies effectively.

In this role, you will manage customer relationships for Scale's Gen AI Data Engine, oversee project delivery, and ensure quality and SLA achievement. You will advocate for customer needs, collaborate with engineering teams, and drive operational improvements while protecting long-term customer health and satisfaction.

The Recruiting Coordinator will manage the hiring process, including scheduling and coordinating interviews across time zones, handling cancellations, and resolving scheduling conflicts. The role aims to provide a positive candidate experience and contribute to recruiting strategies.

Interns will contribute to AI projects, participate in focus groups, engage in team-based challenges, and work independently while balancing academic commitments. They'll gain technical expertise, critical thinking, and collaboration skills throughout the internship.

In this role, you will perform quantitative analyses, conduct market benchmarking, and assist in designing compensation programs while supporting international expansion. Collaborate with recruiting on offer escalations and enhance efficiency through tools development, driving clarity in compensation practices.

The Sales Ops & Deal Desk Manager will oversee pipeline reviews, metrics, and forecasting, while driving financial deal modeling and commercial deal processes. This role involves developing strategic sales processes, tackling ambiguous problems, supporting financial planning, and fostering collaboration with the Enterprise sales team to enhance sales productivity and effectiveness.

The Sourcing Manager will design and execute sourcing strategies to attract top talent in AI and engineering, manage a team of sourcers, develop talent pipelines, and leverage data-driven insights for recruitment optimization while collaborating with hiring managers.

The Strategic Finance Manager will partner with the Engineering and G&A leadership teams to support financial planning, expense forecasting, and financial analyses. The role involves owning the company’s budget, engaging in strategic discussions, managing financial reporting, and improving forecasting processes. Additionally, the manager will collaborate with other departments and the accounting team to ensure accurate financial statements and decision-making metrics.

As an Onboarding Specialist, you'll support new contributors in completing their onboarding process by assisting with technical issues, proactively reaching out through various channels, and documenting interactions in Zendesk. You'll also troubleshoot common onboarding issues and escalate complex problems, all while maintaining a people-first mindset and participating in continuous learning.

As a Prompt Engineer, you will develop and evaluate LLM applications, analyze data quality, and create training materials for adversarial analysis. Collaboration with ML engineers and software engineers is essential for implementing solutions and conducting vulnerability testing.

The GTM Strategy and Operations Specialist will support Scale's Public Sector business by shaping go-to-market strategies, optimizing operational processes, and collaborating across teams to drive efficient growth. A strong emphasis will be placed on delivering AI/ML solutions for the U.S. Federal Government, requiring excellent analytical and communication skills, along with a proactive approach to problem-solving.

As a Growth Recruiter, you will review applications, screen candidates, and source global talent for high-volume pipelines. You will collaborate with other recruiters, design effective recruiting strategies, and support contributors worldwide to enhance engagement and productivity.

The Field Engineer will implement data integrations and optimize data pipelines by collaborating with customers and internal teams. Responsibilities include developing playbooks and documentation, debugging technical issues, managing customer relationships, and evangelizing the company's products. Required to have a TS/SCI clearance.

As an Engagement Manager, you will manage customer relationships, oversee account implementation, lead project teams, and ensure customer success in AI/ML objectives. You'll identify operational issues and collaborate with engineers and clients to deliver scalable solutions while maintaining long-term customer health through strategic management and problem-solving.

The Prompt Engineering Manager will lead a team focused on innovative AI applications, manage LLM projects, enhance data quality, document model behaviors, and mentor team members while collaborating across functions to drive projects from inception to deployment.

As a Technical Program Manager for Generative AI, you will accelerate the creation of tools and workflows, lead cross-team initiatives, and ensure high-quality dataset delivery while addressing customer pain points. You will shape the vision and strategy of the team, manage processes across engineering and operations, and incubate scalable AI products.

The AI Product Manager will lead the development of ML-assisted tools and infrastructure for GenAI operations, collaborating with various teams to improve model performance and delivering high-quality datasets through seamless integration.

The Defense Deployment Strategist will lead business development efforts to penetrate U.S. Navy markets, focusing on securing large contracts for AI/ML products. Responsibilities include relationship mapping, opportunity pursuit, RFP writing, and collaborating with technical teams to design solutions, ultimately driving the adoption of cutting-edge technologies in defense organizations.

The Senior Software Engineer will be part of the core engineering team, working on product lifecycle from conceptualization to production. Responsibilities include owning significant product areas, engaging with users, and delivering high-quality experiments at rapid velocity using a variety of technologies including React and TypeScript.

As a QA Engineer at Scale AI, you will perform manual testing on complex front-end applications, identify bugs, and collaborate with stakeholders to gather product requirements. Your responsibilities include developing and maintaining automated frontend tests using Cypress for a rapidly evolving application.