• Stay close to the code and architecture. Contribute directly when it unblocks the team, resolves complexity, or accelerates a critical path – not to gatekeep. • Drive high-quality, timely delivery by making decisions quickly, clearing obstacles, and ensuring the team has what they need to ship without waiting on you. • Coach engineers through direct 1:1 feedback, career guidance, and hands-on pairing. Raise the bar on ownership so the team increasingly solves problems without escalation. • Partner with Product, Design, and stakeholders to bring clarity to priorities and translate them into effective execution. Be the person who makes alignment easy, not another layer of indirection. • Establish and uphold best practices for code quality, testing, and system reliability to ensure maintainable and scalable systems. • Leverage and evolve agentic workflows and AI-assisted development practices to improve team productivity, accelerate delivery, and enhance engineering quality. • Protect the team's time. Say no to low-value work, reduce ambiguity, and keep everyone pointed at what actually moves the business forward. • Identify and remove blockers, improve team processes, and continuously increase velocity, ownership, and effectiveness.

• Lead and grow a team of data engineers responsible for SentiLink’s data platform and infrastructure • Define and drive the technical vision for data ingestion, processing, storage, and serving systems • Design and evolve scalable data pipelines (batch and real-time) to support product and data science use cases • Ensure high standards for data quality, reliability, and observability across all data systems • Partner with Data Science to enable their pipelines and enable efficient access to high-quality data • Collaborate with Product and Engineering teams to power data-driven features and decisioning systems • Work closely with Infrastructure to optimize performance, cost, and scalability of data systems • Establish best practices for data governance, schema management, and pipeline reliability • Support operational excellence, including monitoring, alerting, and incident response for data systems • Hire, mentor, and develop engineers while maintaining a high hiring bar • Foster a culture of ownership, accountability, and continuous improvement • Contribute to architecture and technical problem-solving as needed

• Lead and grow a team of backend, full-stack, and AI/ML engineers building real-time systems for active mining operations • Recruit aggressively — bring your network, identify top talent, and build a team that raises the collective bar • Define and uphold engineering standards: code quality, testing, CI/CD, system design, security • Partner with our CEO on engineering organization design, roadmap prioritization, and long-term technical strategy • Own the team's delivery end-to-end — from sprint planning to production deploys that run at real mines • Work directly with users, operators, and the product team to translate real-world industrial challenges into high-impact engineering work • Foster a culture of ownership, craft, and collaboration on a remote team where trust is the foundation

• Lead and develop a cross-functional engineering team across software, platform, and integration disciplines • Own planning, prioritization, and delivery of engineering initiatives across applications and enterprise systems • Oversee the design and implementation of secure, scalable, and well-tested systems • Establish and enforce engineering standards, including CI/CD, DevOps practices, and secure development