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Develop sourcing strategies for highly technical roles, identify and engage passive candidates, conduct talent mapping and market research, partner with engineering leaders, build specialized candidate pipelines, track sourcing metrics, improve recruiting processes, and strengthen the employer brand and candidate experience.

Analyzes logistics requirements, freight markets, carrier options, routes, costs, lead times, and external supply-chain conditions. Builds logistics cost models, supports procurement negotiations, monitors freight spend and performance, identifies savings opportunities, and advises engineering, procurement, and operations teams. The role also contributes to logistics planning for site startups and communicates market constraints and risks to internal stakeholders.

Leads Mariana Minerals’ logistics function across operating sites and capital projects. Develops freight strategy, manages logistics staff and senior 3PL, carrier, and freight-forwarder relationships, oversees multimodal domestic and international shipments, ensures customs and Incoterms compliance, controls freight spend, and drives reporting and process improvements. Evaluates infrastructure investments and provides logistics expertise to procurement, engineering, capital projects, and site operations. Regular travel to operating and project sites is required.

Coordinates mineral processing and refinery engineering projects across multiple disciplines from concept through construction support. Responsibilities include managing schedules, budgets, documentation, document control, contractor activities, project costs, milestones, progress reporting, and schedule risks. The role also improves coordination processes and contributes to internal software tools. Requires cross-functional collaboration, project tracking, and delivery of engineering packages under schedule constraints.

Lead technical sourcing for engineering and automation teams by developing targeted searches, engaging passive candidates, conducting talent mapping and market research, partnering with recruiters and hiring managers, improving sourcing methodologies and tooling, and tracking metrics to build long-term candidate relationships and pipelines.

Lead mechanical engineering for mineral refining facilities from concept through commissioning. Responsibilities include equipment design, plant layouts, static equipment calculations, FEA, solids-handling systems, vendor management, multidisciplinary EPC coordination, and construction and startup support. The role requires hands-on delivery of greenfield and brownfield projects involving tanks, vessels, silos, conveyors, kilns, and other industrial processing equipment.

Leads and develops a software engineering team building MarianaOS, an operational platform for mining and mineral processing. Responsibilities include hiring, performance management, career development, delivery planning, roadmap execution, technical collaboration, process improvement, and stakeholder communication. The manager remains technically engaged, uses engineering metrics to improve team performance, removes blockers, and helps the team ship reliable software quickly in partnership with engineering, construction, product, and operations teams.

Build and maintain onboard and platform software for autonomous mining vehicles, including sensor drivers, data pipelines, synchronization, calibration, deployment, monitoring, simulation, testing, drive-by-wire integration, low-level controls, and safety systems. Collaborate with machine learning, hardware, controls, and mine operations teams through field validation on real equipment.

Own Mariana Minerals’ infrastructure platform across AWS, EKS, on-premises, and edge clusters. Build self-service infrastructure, GitOps delivery, observability, identity and secrets management, cost controls, and reliable ML/data workloads. Lead cluster operations, incident response, upgrades, and automation that enables engineers to provision and operate services independently.

Own applied statistical analysis for mineral processing operations, including experimental design, metric definitions, uncertainty quantification, process control, forecasting, reporting, and dashboards. Analyze messy sensor, assay, laboratory, and plant data to support production, cost, supplier, and capacity decisions. Partner with data platform teams, improve analytical rigor across the company, and communicate findings clearly to operators, engineers, and executives.