• Define and execute the technical roadmap for consumer services and APIs • Architect, build, and modernize backend and frontend systems using React, Golang, and AWS • Guide design reviews and promote best engineering practices within the team • Shape quarterly roadmaps that balance ambitious modernization with high-impact features • Mentor engineers through pairing, feedback, and thoughtful one-on-one guidance • Partner with product, operations, and risk to align business goals with technical execution • Nurture a high-performing, collaborative engineering culture grounded in ownership and accountability • Improve system reliability, observability, and scalability for high-volume financial transactions • Integrate AI tools into daily development to streamline code analysis, refactoring, and feature builds while ensuring system reliability • Champion automation, testing, and deployment practices that drive speed and confidence • Collaborate on technical design reviews and ensure architectural consistency across services

• Help attract new talent to join Verity's journey. • Work on the development, maintenance, and evolution of web applications. • Build new features and maintain existing systems. • Resolve incidents and improve performance. • Implement integrations between systems and support technical decisions. • Collaborate with Product, UX/UI, QA, Architecture, and Infrastructure teams.

• Implement benchmarks: Implement AI benchmarks within our evaluation infrastructure (primarily using the Inspect library) to expand the suite of capabilities we track. Develop our existing suite of benchmarks so we can quickly and painlessly evaluate new model releases. • Develop new benchmarks: Contribute to the development of brand new benchmarks. You will have the opportunity to pitch and prototype your own ideas in addition to helping out with existing projects. • Collaborate: Work closely with researchers, analysts, and other engineers at Epoch AI to ensure evaluation data and outputs are accurate, insightful, and effectively integrated into our research products and publications.

• Own and evolve critical catalog systems, including product onboarding, attribute management, data enrichment, validation workflows, and product readiness tooling. • Design and operate scalable services and data models that ensure product information is accurate, complete, consistent, and available to downstream systems. • Drive discovery with Product, Merchandising, Data Science, and Operations partners to identify high-impact problems, evaluate tradeoffs, and define clear technical roadmaps. • Independently lead initiatives from concept through production rollout, including technical design, implementation, launch, and measurement of outcomes. • Improve catalog data quality by building systems that detect, prevent, and resolve incomplete, inaccurate, or inconsistent product information. • Ensure catalog workflows support efficient merchandising operations and help teams prepare products for sale at scale. • Mentor engineers through code reviews, architecture discussions, technical feedback, and shared ownership of engineering standards. • Instrument, monitor, and tune systems for reliability, performance, scalability, and cost efficiency. • Work collaboratively with cross-functional partners to align technical solutions with business needs and operational workflows.