Jobs at Scale AI

This role involves developing AI applications, focusing on LLMs and agent frameworks, and requires research skills in ML with experience in data strategy.

As an Applied AI Engineer, you will build AI applications for public sector clients, create and evaluate datasets, and collaborate with teams to address challenges using AI solutions.

As a Software Engineer, you will develop backend services for AI applications, optimize cloud infrastructure, and manage production-level deployments.

The AI Strategy Consultant will design and execute research experiments, improve data quality, and collaborate with ML scientists to advance AI innovations.

As a Senior Software Engineer, you'll scale the Scale Generative AI Platform, owning product areas, working across multiple tech stacks, and solving engineering challenges.

As a Mission Software Engineer, you'll develop solutions for government customers by integrating software into existing workflows, requiring significant travel, collaboration, and technical expertise.

This role involves building and optimizing ML systems and frameworks, collaborating with teams to enhance research and development in ML models.

Lead the architecture, development, and operation of a reliable orchestration platform for distributed workflows. Build workflow primitives, APIs, and infrastructure supporting scheduling, retries, state management, observability, security, scalability, and developer experience. Partner with cross-functional teams, establish engineering standards, and drive technically complex projects from design through production operation.

Lead account-based marketing programs for strategic enterprise accounts across healthcare, financial and professional services, and consumer verticals. Own ABM strategy, multichannel campaign execution, account planning, stakeholder engagement, KPI reporting, pipeline attribution, and repeatable playbook development. Partner with enterprise sales, growth marketing, content, product marketing, and field teams while managing creative production and fulfillment partners.

Leads Scale’s global Workplace function across approximately 10 offices. Responsibilities include real estate portfolio strategy, lease negotiations, facilities vendor management, multi-million-dollar budgeting, workplace experience and food programs, office openings and relocations, safety compliance, and team leadership. The role partners with People, Security, IT, Finance, Legal, brokers, landlords, contractors, and outsourced providers to deliver safe, efficient, cost-effective, and employee-focused workplaces.

Lead product marketing for Scale’s AI and data solutions targeting U.S. federal civilian agencies. Create case studies, solution briefs, thought leadership, web content, presentations, messaging, launch materials, and campaigns. Partner with sales, product, engineering, communications, and customers to support market entry, build awareness, generate demand, and measure campaign performance. The role requires strong storytelling, government marketing experience, strategic judgment, cross-functional collaboration, and independent execution.

Lead end-to-end product design for Scale’s enterprise AI data products, including insurance AI, document processing, dashboards, data visualizations, editors, and forms. Create user flows, wireframes, mockups, and prototypes; collaborate with product, engineering, data science, and operations teams; advocate for users; identify product gaps; and contribute to the company design system.

Build and ship software for AI applications supporting government decision-making. Responsibilities include developing guardrails, RAG and agent orchestration systems, data pipelines, evaluation infrastructure, anomaly detection, audit interfaces, and full-stack mission-data tools. Deploy and harden applications in secure, air-gapped, and cloud environments while working directly with government stakeholders.

Oversee end-to-end multi-state payroll processing for more than 1,000 U.S. employees. Ensure compliance with federal, state, and local tax laws; manage year-end W-2 processing and reconciliations; collaborate with HR and Accounting; administer ADP and Workday systems; conduct payroll audits; resolve discrepancies; and lead process improvements, system upgrades, and AI-enabled optimization initiatives.

Lead initiatives to drive revenue and growth in Generative AI, collaborating with teams and developing strategies aligned with market needs.

Leads technical delivery for a complex public-sector AI program, directing solution architecture, release planning, engineering trade-offs, and stakeholder communication. Manages and mentors Technical Program Managers while coordinating engineers, operations, and delivery teams. Translates government operational needs into AI/ML products, drives innovation, manages technical risks, and promotes reusable capabilities across programs. Requires active TS/SCI clearance, strong stakeholder and technical program leadership experience, MLOps and DevOps knowledge, analytics-driven problem solving, and at least 25% travel.

Leads and develops a team of Solutions Engineers while personally managing technical wins for strategic consumer accounts. Builds reusable architectures, demos, evaluation frameworks, and sales playbooks for GenAI solutions at consumer scale. Partners with Sales, Product, and Engineering on account strategy, pilots, implementations, and roadmap feedback. Requires strong customer-facing engineering experience, technical leadership, and expertise in high-scale consumer systems, with GenAI or applied machine learning experience preferred.

Lead and grow Scale AI’s enterprise product design team, set design direction, hire and develop designers, and drive execution with Product and Engineering. Establish research practices, maintain high craft standards, contribute to the shared design system, and define interaction patterns for enterprise users working with AI agents and human-in-the-loop systems.

Lead and grow the enterprise product design team: set design direction, hire and develop designers, drive end-to-end design execution, raise craft standards, contribute to the design system, root decisions in user research, and define human-agent interaction patterns for AI workflows.

Lead and grow a 6–8 person engineering team building cloud-native backend systems, distributed platforms, and ML tooling for federal customers. Split time between technical execution and people management, collaborate cross-functionally, ensure federal compliance and security, engage with customers, and contribute to product and platform roadmap. Must be eligible for TS/SCI clearance and commute to office three times weekly.