About the role
About Doss DOSS is building an Operations Cloud for the real world. We deliver a modern, AI-native platform that helps physical product businesses manage the flow of goods, dollars, and data across procurement, inventory, orders, fulfillment, and finance in real time. Purpose-built to replace spreadsheet chaos and rigid, consultant-heavy ERP implementations, DOSS delivers fast time-to-value and stays adaptable as a business evolves. Through our Adaptive Resource Platform (ARP) and unified operational data model, teams can deploy quickly, automate workflows, and make changes without months of re-implementation. We recently raised a $55M Series B co-led by Madrona and Premji Invest, with participation from Intuit Ventures, Theory Ventures, General Catalyst, Contrary Capital, and Pathlight VC. DOSS is trusted by fast-growing operators to run critical operations with speed, control, and confidence.
What You'll do Design the core EAV data model & schema‑as‑code platform that powers every customer’s instance, balancing extreme flexibility with transactional integrity. Build a Git‑style version‑control + migration engine capable of rolling forward/back complex schema and data changes on live production tenants in enterprise settings. Engineer AI‑assisted tooling that uses foundation models to propose, validate, and apply new customer schemas and workflow definitions. Scale our white‑labeled data warehouse (BigQuery/Snowflake‐like) for high‑volume, low‑latency analytics and automation workloads. Create Terraform‑like declarative APIs & SDKs so ops teams can treat business processes as code while you ensure security, tenancy, and performance. Deliver end‑to‑end observability & search across supply‑chain, finance, and ops data—surfacing business logic in plain language through AI‐native search. Build Enterprise guard rails into a composable system to proactively detect anomalous behavior or risky emergent patterns Mentor and shape engineering culture, partnering with product and design to turn unsexy back‑office pain into elegant, resilient systems loved by operators.