Founding Engineer – Supply Chain Intelligence & Carbon Infrastructure

Compensation: 0.25% – 1.0%

Company Description Drinova is a provenance platform focused on helping organizations build resilient, trustworthy systems across their innovation and manufacturing lifecycles. By providing transparent, traceable data and workflows, Drinova enables teams to better understand, manage, and verify their processes. This focus on resilience allows customers to reduce risk, improve quality, and maintain compliance. With Drinova handling provenance and system robustness, organizations can concentrate on accelerating innovation and scaling manufacturing efficiently. Role Description We are seeking a Founding Engineer to help architect and build our core intelligence platform. You will work directly with the founder to develop graph-based supply chain digital twins, carbon intelligence systems, provenance tracking, verification workflows, and AI-powered decision intelligence capabilities. Responsibilities: Design and build scalable backend systems for supply chain intelligence Develop graph-based digital twin architectures representing products, suppliers, processes, and logistics Build APIs and data pipelines integrating ERP, MES, supplier, and logistics datasets Develop carbon calculation and provenance engines Implement confidence scoring, verification workflows, and auditability systems Design AI-assisted supplier intelligence and decision-support systems Build cloud-native infrastructure capable of supporting enterprise deployments Required Qualifications: 5+ years software engineering experience Strong Python experience Experience with distributed systems and API development Experience with graph databases (Neo4j, TigerGraph, Neptune, or similar) Experience with cloud platforms (AWS, Azure, or GCP) Strong data engineering and systems architecture skills Preferred Qualifications: Supply chain, manufacturing, ERP, or industrial software experience Knowledge of digital twins, knowledge graphs, or provenance systems Experience with AI/ML workflows and LLM orchestration Experience building enterprise SaaS platforms Familiarity with sustainability, carbon accounting, or lifecycle assessment systems Ideal Candidate: You are excited by difficult infrastructure problems and enjoy building systems that combine physical-world operations with software intelligence. You thrive in ambiguity, think like a systems architect, and want to help build a category-defining company from the ground up.acturing/industrial systems is a plus. Benefits: Founding team equity and ownership opportunity Direct impact on product, architecture, and company strategy Opportunity to build category-defining supply chain intelligence infrastructure from the ground up Work directly with experienced founders from manufacturing, climate technology, MIT The Engine, and Techstars ecosystems Flexible work environment and remote-friendly culture Exposure to AI, digital twins, supply chain intelligence, climate technology, and enterprise software Significant technical autonomy and leadership responsibility Opportunity to shape the future of trusted supply chain intelligence and industrial AI Competitive compensation based on experience and stage Potential for rapid career growth as the company scales