About Doss

DOSS is building an Operations Cloud for the real world.

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.

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.

What We're Looking For

Experience

• 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

Qualities

• Team player: you bring positivity, openness, and curiosity to the team every day.
• Growth mindset: everything is an opportunity to learn and improve yourself, the team, and the company.
• Craftsmanship: you care about making something of quality.
• Pragmatic: you make the right decision based on circumstance, not theory.
• Low Ego: you work best in collaborative environments where everyone supports the team.

Compensation Range: $230K - $260K