Safety Engineering Manager - Mining Deployments

Who we are Pronto AI is a global leader in commercializing autonomous vehicle (AV) technology, deploying Autonomous Haulage Systems (AHS) that automate operations in mines, quarries, and construction sites worldwide. While much of the industry remains in R&D, we deliver real, production-ready autonomy that is already operating in the field. We are on a mission to make mining operations safer, smarter, and more efficient through cutting-edge technology, and we are building toward becoming the world’s first profitable AV technology company. What you’ll do • Build the off-road truck safety case. Claims, evidence, limits, and what remains open. Keep it current as trucks, sites and software change, and be clear about what it does not cover. • Hazard analysis. What the installation introduces on a given truck, what the site already carries, and what the combination creates. Drive the results into requirements and into site controls. • Test preparation. Define what has to be demonstrated before a truck operates autonomously at a site: the procedures, the acceptance criteria, and what evidence each test actually produces. • Commissioning readiness. Hold the gate between installed and operating. This is a real gate, and you are the person who helps specify when a site is not ready. • Incidents and triage. Own the intake path, the severity model, the investigations, and corrective actions through to verified closure. • Change assessment. Decide what a software release, a new truck variant or a new site layout does to the argument, and what has to happen before it goes live. • Grow and lead a small team. You will hire one or two engineers as the work justifies them, and lead them. This is not a management role in the usual sense: the safety case, the commissioning gate and the investigations that matter stay with you, while your team takes the recurring load. If you are looking for a path to a large org, this is not that job yet. • We expect this role to be materially more productive than the same role was three years ago, and we expect AI tooling to be the reason. A small team covers a surface that would otherwise need several, and the tooling is how that becomes possible rather than a fiction. • Use it as a working instrument: drafting and maintaining site risk assessments from a common baseline, adapting procedures per site, triaging an event backlog, and finding patterns across sites that nobody reading one site's reports would see. • Build your own tooling rather than filing tickets for it, and keep it running once other people depend on it. • Be rigorous about the boundary. A generated hazard list is a hypothesis to verify, never a risk assessment. Safety determinations need a human who has looked at the evidence and walked the site. What we’re looking for • 8+ years in systems safety, safety engineering or a closely related systems discipline in a safety-critical domain. Mining experience is not required. • You have built a safety argument from scratch — claims, evidence, structure — and defended its sufficiency to someone who pushed back. • Structured hazard analysis depth at both the system and the operational level, and the judgment to pick the method the situation actually warrants. • You have written the process rather than inherited one: investigation, triage, qualification, or their equivalents. Tell us who ran it after you wrote it and what broke. • Comfortable leading one or two people while still being the person who writes the safety case rather than reviewing it. • Python or SQL sufficient to work event data yourself rather than waiting for an analyst. • Willingness to travel to sites when needed. Nice to have • Off-road, heavy vehicle or industrial machinery experience — mining, quarrying and aggre