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Certus AI is seeking a forward deployed software professional to embed with design-partner teams in the United States or overlapping US hours. You will implement and stand up safety-evidence workflows, translate subsystem changes into working packets within a week, and own accounts alongside founders.
You will write and debug code in a modern web stack (TypeScript or Python), handle repo ingestion, and provide concrete product feedback to accelerate next accounts to a paid seat.
Remote, United States (or overlap with US hours) · Full-time · Forward deployed
Certus is the Living OS for physical AI. We build AI-native operations for robotics, autonomy, and industrial hardware: safety evidence first, then supply chain and finance on the same record. Models propose, code verifies, and engineers review and sign. Certus can live inside Jama and IBM DOORS, and it can live outside them. Teams do not have to switch. We stand that workflow up with design partners. Certus is in NVIDIA Inception.
This is a forward deployed seat. You embed with a design-partner team, stand Certus up on a real safety-evidence workflow, and turn one subsystem change cycle into a working packet in about a week. You write what you learn back to the founding team, and you help that account go from the first wedge to a paid seat. The job is customer-facing and hands-on: TypeScript and Python, repo and document ingestion, and debugging the workflow when a real packet does not line up. You own the account with the founders.
You are in the customer conversation and in the repo. When the packet is wrong, you fix the workflow or you write down exactly what the product should do next. Founder-level ownership of the account, on an early team.