openashbyhqa16z
Staff Product Manager
Mariana Minerals
LocationSan Francisco HQ
WorkplaceOnSite
EmploymentFullTime
Posted2026-04-13T06:11:32.379+00:00
Last observed2026-06-16 14:52:54.539991
Job ida16z-mariana-minerals:ashbyhq:5311bff2-7700-41fa-bac1-996eb717b2f6
ABOUT MARIANA MINERALS Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. We’re reimagining the minerals supply chain by combining deep industry expertise with advanced software, automation, and data-driven decision-making. THE ROLE We’re hiring a Staff Product Manager to own a critical domain within MarianaOS. This is a single posting because we recruit for the strongest PMs first and then place them where the fit is best. Through the interview process, we’ll figure out together which part of the system is the right match for your background and instincts. The scope of what we can touch is enormous. Mining is the last major industrial sector that hasn’t been rebuilt with modern software. The opportunity set isn’t a feature gap on an existing product — it’s entire workflows and systems that don’t exist yet. The problem space spans micron-scale chemistry to kilometer-scale infrastructure. Ship a feature and you can watch the needle move — recovery rates, reagent consumption, construction timelines, equipment uptime. These aren’t proxy metrics. They’re the actual physics of making metal. This role is On-site and will require significant travel. THE PLATFORM: MARIANAOS MarianaOS is the digital nervous system for mineral projects. It spans the full lifecycle — from capital project execution through autonomous operations. The three domains make are staffing for right now are: - MineOS Integrates geologic block models, short and long-range mine plans, fleet management systems, and industrial control systems into a single optimization layer. We’re accelerating autonomous fleet deployment and building an accurate digital twin of the site to maximize the lifetime value of the mine. - PlantOS Our autonomy platform for fixed-plant mineral processing — lithium refining, SX-EW, flotation, and beyond. It uses the same reinforcement learning toolkit powering self-driving vehicles and humanoid robots, except we’re using it for autonomous control of minerals refining circuits. - BizOS The operating system for running the business — connecting fragmented tools, eliminating manual handoffs, and giving leadership real-time visibility into project economics and operational performance across the entire portfolio. WHAT YOU’LL DO - Own a product domain end-to-end — from uncovering the right problems through shipping software that runs in real operations where consequences are physical and feedback is immediate - Define what to build by analyzing operational performance data and talking to domain experts — including figuring out what metrics and instrumentation need to exist in the first place - Spend meaningful time at project sites, processing facilities, and mines to understand how work actually happens — prioritization comes from deep operational knowledge, not market research - Work at the intersection of hardware, software, and AI — translating what models can do into what operators will trust, and what robotics can deliver into what sites need - Drive clarity in ambiguous situations: break down complex problems, define scope, make tradeoffs explicit, and keep teams focused on what matters most - Help build the PM function — this is a small, early PM team where you’ll help establish how we work, how we prioritize, and how we develop PMs behind you WHO THRIVES HERE We’ve seen two profiles excel in this kind of environment. You likely see yourself in one of these: - The Autonomy-Forward PM You’ve shipped products where hardware and software meet and where software failure has physical consequences. You think in fleet coordination, sensor fusion, and operational reliability. You may have started as an engineer and moved into product because you wanted to own the outcome, not just the component. - The AI-Forward PM You’ve worked with ML and AI in production — reinforcement learning, process control, optimization. You know how
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