• Build systems that turn messy, high-volume data into reliable outputs • Design APIs, own data workflows, and push performance at scale • Ship fast, debug hard problems, and care about correctness • Mentor engineers and raise the bar on code quality • Own major parts of the backend, improving performance and reliability

• Design and implement core backend services - including data modeling, compliance logic, and internal platforms that support tax automation at scale. • Build scalable systems to monitor, calculate, and apply transaction taxes across a wide range of jurisdictions and industries. • Develop and maintain our domain model for tax rules, jurisdictions, thresholds, and impositions. • Build automation pipelines for filings, payments, and customer workflows. • Use browser automation, scripting, and task queues to reduce manual work across compliance processes. • Leverage LLMs and programmatic tools to enhance tax research, rule extraction, and error handling. • Collaborate across engineering, tax, and product teams to turn complex policy into scalable software systems.

• Cross-functional Collaboration: You will join a product squad and work closely with designers, product managers, and experienced engineers across backend, frontend, mobile, and AI. • Shift in Software Engineering: Driven by AI, the role is moving toward end-to-end ownership—focusing on understanding user problems, shaping product decisions, rapid prototyping, and validating ideas, rather than just coding from strict specs. • A Shared Transition: The company is undergoing this transformation itself; you aren't expected to have everything figured out from day one. • Key Traits Valued: What matters most is your curiosity, adaptability, strong engineering judgment, and a genuine willingness to learn new ways of working. • Growth and Support: You will receive the tools, practices, and team environment needed to evolve into a product-minded, AI-enabled engineer while continuing to deepen your technical expertise.

• Own problems end-to-end: talk to users, understand their needs, and ship solutions • Build and maintain Python backend services that bring AI capabilities into production (e.g. document parsing, supplier matching, bid scoring) • Design and implement APIs and integrations connecting our AI systems with frontend applications and external platforms • Develop data pipelines to ingest, normalize, and process large volumes of structured and unstructured construction data • Collaborate with teammates on code reviews, testing, and CI/CD practices • Contribute ideas on applying new AI techniques to real procurement challenges