Staff Simulation Data Modeler

Consequential Work. Dedicated People. About Onebrief Onebrief builds collaboration and AI-powered workflow software for military planning and operational coordination. Military planning is complex by nature, requiring teams to coordinate information, people, and decisions across systems and locations. Onebrief brings planning, collaboration, simulation, and AI into one connected environment, helping teams test strategies, adapt to changing conditions, and make decisions with greater clarity when the stakes are real. We are a distributed team of builders from military, operational, and technology backgrounds who care deeply about improving how important work gets done. Some team members work remotely, while others work directly alongside customers in operational environments around the world. Founded in 2019, Onebrief is backed by leading investors including General Catalyst, Battery Ventures, Insight Partners, Sapphire Ventures, and Human Capital. Valued at more than $2 billion, we continue to invest in product innovation, AI capabilities, and team growth. WHY THIS ROLE EXISTS As a Staff Simulation Data Modeler at Onebrief, you own the ground truth that AtomEngine's entire simulation stands on. AtomEngine is our proprietary, cloud-based game engine that makes the world playable to solve real-world military problems — and every scenario it runs is only as credible as the entities inside it. You'll build and defend that credibility: directing AI agents to research and construct entities at scale, codifying the standards and formulas that make and keep the catalog accurate, and stress-testing your own assumptions in competitive wargames before a customer ever finds the gap.

As a Staff Simulation Data Modeler you own the AtomEngine entity catalog end to end — not just the entities themselves, but the sources, the standards, parametric formulas, tooling, and test coverage that make them credible. You'll direct AI agents to do the bulk of first-pass research, data entry, and testing at scale, while you focus on the judgment calls: what "right" looks like, where the catalog is weakest, and how to prove it's correct. You'll partner closely with Customer Relations to prioritize what gets built next, with Engineering to automate testing, and with other Content Creators in competitive wargames designed to break your own assumptions before a customer does. Key Responsibilities Catalog strategy & prioritization - Lead catalog strategy across multiple catalog segments. Build and maintain a structured catalog of all entities to be created across all service branches, nations, and eras — tracking completion, freshness, and data confidence for each segment. - Partner with Customer Relations to translate customer and field feedback into a prioritized roadmap for which catalog segments matter most right now. Standards & tradecraft - Research the sources and codify the governing principles that any agent (human or AI) must follow when building entities. - Research and adopt or develop defensible formulas for weapon effects, sensor effects, fuel burn, survivability, and other performance models; make calls on when to adapt existing precedent versus build an original model from scratch; defend those models directly to customers and SMEs. Partner with Engineering on implementation. - Create & maintain a trusted network of subject matter experts you can pull in to ground the toughest modeling calls in real-world judgment. Agent-directed production - Use modern agentic AI workflows as your primary force multiplier: design prompts, review loops, and guardrails that other analysts and their agents adopt to handle first-draft research, data entry, and documentation at scale, while you supervise for accuracy and catch what they miss. - Envision and define requirements for tools that accelerate the team’s workflow further, and partner with Engineering to help build them.