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

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

Leads Scale’s global systems integrator partnership strategy, ecosystem expansion, and revenue growth. Responsibilities include selecting and managing GSI partners, negotiating alliance agreements, developing co-sell and joint solutions, enabling certified partner practices, generating sourced and influenced pipeline, and overseeing post-signature execution. The role requires strong relationships with major consultancies, enterprise AI or cloud partnership experience, complex commercial negotiation skills, and the ability to influence cross-functional teams without direct authority.

Leads strategic partnerships with frontier AI labs and foundation model providers. Builds joint go-to-market, co-selling, technology, and commercial partnerships; drives partner-sourced revenue, integrations, joint offerings, and enterprise deployments. Coordinates with sales, product, engineering, research, finance, legal, and marketing teams while tracking the AI model landscape and managing post-signature execution, launches, and business reviews.

Design and implement core identity infrastructure for authentication and authorization. Build SSO, MFA, federated identity, and authorization systems (ReBAC/ABAC/RBAC). Create identity governance policies for compliance, integrate IAM with cloud services, and present technical guidance to stakeholders.

Design and develop shared platform systems, foundational data platforms, cloud infrastructure, orchestration, and software delivery tooling. Partner with stakeholders and cross-functional teams to define and deliver features, improve engineering practices, and communicate technical concepts. The role requires expertise in backend systems, distributed systems, public cloud, containerization, databases, orchestration, and CI/CD, with opportunities to support AI-focused products.

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.

Design, evaluate, and deploy production frontier AI agents that combine LLMs, retrieval, memory, tool use, and traditional ML. Build retrieval and memory systems, multi-agent coordination, evaluation frameworks, and production engineering (reliability, observability, safety). Partner with enterprise customers to translate problems into scalable AI architectures and run experiments to measure business impact.

Own outbound prospecting, customer education, discovery, and Stage 2 qualification for enterprise AI opportunities. Generate and qualify pipeline, explain AI capabilities and workflows, develop customer narratives, coordinate with Solutions Engineering, Marketing, and GTM Strategy, and transition qualified opportunities to Account Executives. Maintain CRM hygiene and pipeline visibility while building expertise in enterprise AI deployment patterns and customer use cases.

Provide product-focused IP counsel across the product lifecycle for AI/ML systems, advising on IP strategy, data and open-source licensing, patent and trademark management, commercial agreements, risk mitigation, and cross-functional training. Partner closely with Research, Product, Engineering, and business teams to embed IP protection and ensure compliance while supporting patent prosecution and enforcement globally.

General interest posting for candidates who attended COLM 2026 and connected with Scale AI. The company is seeking potential candidates passionate about machine learning, AI research, generative AI, defense applications, and autonomous vehicles for future opportunities across multiple roles.

Owns the connection between Operations and Product for a Generative AI business. The role surfaces operator needs, shapes product roadmaps, modernizes workflows with AI agents, leads operational initiatives, defines metrics, and uses SQL and Python analytics to prioritize improvements and measure outcomes. Success requires cross-functional influence, technical communication, product judgment, and the ability to build scalable processes in an ambiguous, high-growth environment.

Own the enterprise revenue reporting layer, including pipeline dashboards, metric definitions, forecasting, funnel diagnostics, CRM data integrity, and executive business reviews. Analyze conversion, coverage, velocity, and revenue trends to guide capacity, territory, pricing, and growth decisions. Support planning, quota setting, compensation modeling, and GTM system automation while partnering with Finance, Legal, GTM Engineering, and enterprise sales leadership.

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.

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.

Lead Scale’s Connectivity engineering team, owning architecture, strategy, and development of API integrations, distributed systems, and data-platform capabilities. Build and ship end-to-end product features, collaborate with internal and external stakeholders, manage the full product lifecycle, and deliver high-quality experiments rapidly. The role also includes mentoring engineers, influencing team culture and processes, and translating business and product ideas into scalable engineering solutions.

Manage and grow a large global contributor community for Scale’s Generative AI business. Develop engagement, retention, communications, feedback, and dispute-resolution strategies; oversee community platforms, virtual events, sentiment monitoring, and contributor messaging. Use metrics and feedback to improve operations and product strategy, coordinate cross-functional stakeholders, remove blockers, and maintain cohesive communications. The role also includes managing at least one direct report and executing operational initiatives directly.