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The role involves building the global Energy business by executing commercial strategies, closing large deals, maintaining executive relationships, and leading a global team in a collaborative environment.

Deploy and validate NEXUS in customer environments, perform end-to-end data and feature engineering, benchmark against baselines (XGBoost/LightGBM), optimize models for business impact, handle last-mile integrations (VPC/on‑prem/air-gapped), and translate field insights into product improvements while liaising with stakeholders.

The Social Media & Executive Brand Manager will enhance Fundamental's online presence, create engaging content for enterprise audiences, and develop strategies aligned with company initiatives.

The ABM Manager will create and lead account-based marketing strategies, coordinate campaigns, and enhance engagement with high-value clients and prospects across various channels and events.

The Forward Deployed Full-Stack Engineer will create production-grade applications, manage technical relationships, and ensure seamless integration of AI models into client environments.

The role involves optimizing large-scale ML training, troubleshooting inefficiencies, and collaborating with researchers to enhance model efficiency and productionization.

Manage relationships with Fortune 100 companies, handling complex sales processes, collaborating with senior executives, and driving business outcomes.

Manage and scale strategic technology partnerships to enhance the reach of Fundamental's AI model NEXUS. Collaborate across teams, execute joint go-to-market strategies, and drive partner integrations while navigating complex partner ecosystems.

As a software engineer in the research team, you will develop and maintain the core codebase, optimize workflows for researchers, and ensure production readiness while implementing best practices in ML software development.

Build and operate scalable MLOps pipelines, model serving, and inference architectures. Implement CI/CD, monitoring, A/B/canary deployments, feature stores, GPU autoscaling, and secure governance for production ML systems.