Founding Engineer – Supply Chain Intelligence & Carbon Infrastructure

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