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The Backend Engineer will design and build scalable systems and APIs for enterprise AI products, focusing on performance and deployment across infrastructures. Responsibilities include optimizing backend performance, managing cloud infrastructure, and collaborating with teams to bring GenAI models to production.

Design, build, and operate secure, compliant IT infrastructure for public-sector environments. Administer Okta, Jamf, GCC High/Azure Gov and other SaaS, automate identity lifecycle with Okta Workflows, support IT Services escalations, produce audit artifacts, maintain zero-trust controls, and manage change in regulated environments.

Design and build a novel, highly scalable data infrastructure to aggregate and stage simulation outputs and user inputs for LLM consumption. Architect massive batch pipelines, complex relational data models, and low-latency distributed processing. Lead technical direction, solve ambiguous first-principles problems, and optimize data for downstream AI decision systems supporting government customers.

The Business Development Representative generates and qualifies sales pipeline, partners with Account Executives, and educates customers on AI capabilities.

The Platform PM defines the core platform needs, prioritizes work, oversees capability graduation, and ensures high-quality, reliable infrastructure for deployment across AI systems.

The Forward Deployed Product Manager is responsible for driving enterprise deployments, building relationships with senior stakeholders, and translating customer needs into actionable product direction. This role requires managing product outcomes and operational challenges while ensuring successful integration and implementation of AI solutions within large organizations.

Design, build, and maintain foundational platform systems and cloud infrastructure supporting Scale's AI data and RLHF products. Collaborate with cross-functional teams to define features, improve engineering practices, and drive platform reliability, deployment, and CI/CD workflows.

Lead end-to-end AI advisory engagements in a chosen vertical: qualify and sell advisory in pre-sales, run discovery workshops, scope SOWs, deliver final readouts, build vertical POV and playbooks, coordinate technical and design partners, and manage and coach a Consultant. Frequent travel (30–60%) required.

Lead and run AI advisory engagements: conduct market research, impact sizing, synthesis, and workshops; manage timelines and cross-functional coordination; build reusable playbooks and AI-powered automation to accelerate delivery and commercial expansion.

Serve as the sole HR representative in Mexico managing full employee lifecycle for field technicians and corporate staff. Ensure compliance with Mexico labor law, handle workers' compensation, drive HR process and system improvements, support safety and certifications, manage vendor and EOR relationships, and partner cross-functionally to improve employee experience and operational efficiency.