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Drive engagement with policymakers and industry stakeholders, shape regulatory strategy, build relationships, and ensure Emerald AI meets regulatory requirements.

Design and implement orchestration models for AI/ML workloads to optimize resource allocation and power management in data centers.

The Product Lead will guide product development from 0 to 1, collaborating with engineering and strategy teams to address market needs and ensure product-market fit.

As an Infrastructure Software Engineer, you'll configure and maintain ML compute clusters, develop orchestration components, deploy cloud services, build data pipelines, and enhance CI/CD capabilities to support large-scale ML workloads.

As a Full-Stack Engineer, you'll develop web applications and backend services, ensuring scalability and performance while collaborating with a cross-functional team. Responsibilities include creating UIs, APIs, and managing databases for AI data center operations.