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Backend Engineer

Doss · San Francisco · On-site

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About Doss

Tools for real-world operations for consumer goods. Backed by Madrona.

About the role

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.

What they're looking for

  • Expertise building large scale ETL on databases like Postgres, Elasticsearch, DuckDB, Memgraph (Graph DB), etc
  • Using cloud services to build + deploy reliable web applications
  • Working in abstractions to build complex graph-based architectures that scale
  • Communicating clearly, asking thoughtful questions, and collaborating effectively with both technical and non-technical teammates
  • Taking ownership of problems, and pushing work forward without needing constant direction
  • Making sound technical decisions, understanding tradeoffs, and contributing meaningfully to complex discussions
More about this role

A modern, AI-native platform for physical product businesses to manage the flow of goods, dollars, and data in real time, across:

Procurement

Inventory

Orders

Fulfillment

Finance

Built to replace spreadsheet chaos and rigid, consultant-heavy ERPs. Fast time-to-value, adaptable as the business evolves.

Through our Adaptive Resource Platform (ARP) and unified operational data model, teams 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. 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.

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...

Read the full posting on Doss's site ↗

Engineering

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