Jobs at Medal

• You own full-cycle accounts payable: invoice intake, coding, approvals, payment runs, reimbursements, card review, vendor communication, and year-end 1099s.
• You own accounts receivable and billing for Medal, which is mostly US: issuing invoices, applying cash, chasing collections, and maintaining the AR aging.

About The Company
General Intuition is the frontier lab for acting in space and time. We build large action models and world models that can perceive, predict, and act across virtual and physical environments.

• Infrastructure-as-code: Strong fluency in Terraform, with real experience owning infrastructure-as-code at scale
• Elastic search depth: Hands-on experience running ES for user-facing features, not just as a log sink

• Confident using C#, .NET Framework, and win32 in performance-critical contexts
• Proven software engineering expertise: you've built maintainable, extensible systems

• 5+ years of frontend engineering experience
• Experience with React, Redux, Node, and Electron: You'll spend most of your time building things with React and will need to understand modern React practices and JavaScript in general

• 5+ years of backend engineering experience, with significant time in production environments
• Strong proficiency in Java and hands-on experience building scalable microservices

• Have 5+ years of experience in full life cycle technical recruiting supporting technical, AI, and/or research teams
• Have experience hiring frontier AI researchers, technical staff, and engineers working on other frontier problems (from LLMs to multimodal AI to robotics)

• 5+ years of recent experience shipping iOS apps (recency matters, since the platform evolves fast)
• Swift, UIKit, and SwiftUI knowledge

• 4+ years designing consumer-facing digital products, ideally for social or creator-driven platforms
• Product judgment: You start from the user problem and the outcome you're after, prioritize hard, and can say no to good ideas that don't move what matters

• You have built an agent or automation before. You look at a manual workflow and immediately think about how to automate it with tools like Claude and other LLMs. No engineering background is required, but you should know what's possible and how to build it.
• You have extreme attention to detail. You catch a misspelled name, a missing comma, or an incon...

About The Company
General Intuition is the frontier lab for acting in space and time. We build large action models and world models that can perceive, predict, and act across virtual and physical environments.

• You own the general ledger and the monthly, quarterly, and annual close in US GAAP - revenue recognition, accruals, capitalization, and reconciliations - fast and precise, with the policies and internal controls to back it.
• You run US federal and state corporate tax plus international tax - quarterly estimates, filing...

About The Company
General Intuition is the frontier lab for acting in space and time. We build large action models and world models that can perceive, predict, and act across virtual and physical environments.

• You own orchestration and GPU clusters - scheduling, utilization, capacity. Expensive hardware sitting idle is your problem, and so is a training run blocked behind the scheduler.
• You build the preprocessing pipelines that turn a very large corpus of raw gameplay video into training-ready data, at a throughput that keeps training from waiting on data.

• You harden GCP (AWS equivalents fine), Kubernetes, and containers from the inside out - workload isolation, network segmentation, IAM discipline, and secure-by-default guardrails baked into Terraform, CI/CD, and deployments.
• You protect the data pipelines - encrypting and isolating the video/metadata ETL, with full log...

• 3 to 5 years of experience managing and researching product analytics, or a master's degree in statistics or a related field.
• Applied statistics depth: regression, experimental design, and causal inference. Bayesian methods are a plus.

• 5+ years of experience deploying AI or robotics systems from prototype to production, spanning simulation, model development, and real-world deployment.
• You have taken a model from a training checkpoint to running on real hardware and owned it end to end, including the failures.