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Build and operate shared ML/AI infrastructure: data pipelines, feature stores, training, model serving and LLM platform work. Scale inference and training (GPU, batching, autoscaling), enable evaluation and post-training workflows, and partner with AI, data science, and product teams to productionize models and improve platform reliability and developer experience.

The Mid-Market Account Executive will manage a full-cycle sales process, connecting employers to students while exceeding quotas and building relationships with executives.

The Senior Applied AI Engineer will develop AI-driven solutions for enterprise customers, embedding directly with them, owning full stack AI delivery, and iterating on performance. Responsibilities include defining solutions, building production-grade agents, conducting evaluations, and establishing best practices.

Provide Tier 1 and Tier 2 IT support for a distributed workforce across hardware, SaaS, identity systems, and collaboration tools. Administer onboarding/offboarding, endpoint management, software provisioning, asset tracking, and IAM. Maintain documentation, partner with Security on device compliance, assist in incident response, and identify automation opportunities to improve IT operations.