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Own Fundamental’s content strategy, founder ghostwriting, and company channels across LinkedIn and X. Develop blogs, thought leadership, editorial plans, and repurposed content; translate complex AI and technical topics for business audiences; grow reach and engagement through analytics; coordinate approvals and publishing; and support podcast, panel, and media opportunities for company leaders.

Own the AI strategy and expansion roadmap for a strategic oil and gas enterprise account. Build executive relationships, identify and prioritize prediction use cases, develop business cases and ROI models, secure sponsorship and budgets, orchestrate technical delivery teams, measure realized value, and turn successful deployments into broader programs and repeatable expansion frameworks. The role requires strong oil and gas expertise, commercial acumen, technical fluency, and regular engagement with customer sites and company offices.

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

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.

Deploy machine learning solutions for enterprise Oil & Gas customers, benchmarking against existing models and delivering measurable ROI. Responsibilities include data engineering, feature engineering, validation, model optimization, data leakage prevention, and secure last-mile integrations across cloud, on-premises, and air-gapped environments. The role partners with customers, sales, research, product, and solution architecture teams while translating technical insights into business value and product roadmap priorities.

Work with enterprise customers to identify high-value tabular ML use cases, design production-grade architectures, prototype solutions, lead deployments, coordinate cross-functional teams, and codify reusable deployment patterns to scale adoption of the NEXUS tabular foundation model.

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.