• Architect, implement, and maintain decision science libraries that will be used in KoBold’s mineral exploration analyses. • Build tooling to increase the velocity of our decision making, including enabling rapid prototyping in Jupyter notebooks; build experimentation, evaluation, and simulation frameworks; turning successful R&D into robust, scalable pipelines; and organizing ML models and their outputs for repeatability and discoverability. • Apply–and coach team members to use–engineering best practices such as writing robust, testable and composable code • Collaborate with data scientists, geoscientists and engineers to invent the modern decision science technology for mineral exploration • Occasional travel to exploration sites around the world to observe the impact of scientific computing on KoBold’s exploration products and design new technologies to further discovery. Travel is approximately twice per year depending on project needs.

• Architect, implement, and maintain foundational scientific computing libraries that will be used in KoBold’s mineral exploration analyses. • Build tooling to increase the velocity of our machine learning progress, including enabling rapid prototyping in Jupyter notebooks; build experimentation, evaluation, and simulation frameworks; turning successful R&D into robust, scalable ML pipelines; and organizing models and their outputs for repeatability and discoverability. • In collaboration with data scientists, build models to make statistically valid predictions about the locations of economic concentrations of ore metals within the Earth’s crust. • Apply–and coach team members to use–engineering best practices such as writing robust, testable and composable code • Collaborate with data scientists, geoscientists and engineers to invent the modern scientific computing stack for mineral exploration • Occasional travel to exploration sites around the world to observe the impact of scientific computing on KoBold’s exploration products and design new technologies to further discovery. Travel is approximately twice per year depending on project needs.

• Transform technology into opportunity as a Software Developer Principal • Research, design, develop, and test operating systems-level software • Set operational specifications and formulate and analyze software requirements • May design embedded systems software • Apply principles and techniques of computer science, engineering, and mathematical analysis

• Lead the design, architecture, and delivery of highly scalable services that power the shopper lifecycle, including onboarding, eligibility, work evaluation, earnings, ratings and quality, recognition, safety, and retention. • Set technical direction for domain migrations and platform modernization; define patterns, interfaces, and standards that improve reliability, performance, and developer productivity across multiple services and codebases. • Partner with Product, Design, and Data Science to shape roadmaps and success metrics; experiment, measure, and iterate to improve activation, engagement, and retention outcomes. • Champion AI enablement across the team by building internal tooling and agentic automations that accelerate development, testing, and operations; integrate AI safely and measurably into the engineering lifecycle. • Orchestrate complex cross-functional programs with dependencies across R&D and business partners (e.g., Logistics, Identity & Fraud, Transaction Platform, Mobile Foundations, Operations, Legal, Trust & Safety, CRM); align stakeholders and deliver under tight timelines. • Uplevel operational excellence—observability, incident response, SLAs/SLOs, performance tuning—while mentoring engineers through design reviews, documentation, and pair programming.