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Doss

Staff Backend Engineer

Reposted 3 Months Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
230K-260K Annually
Senior level
In-Office
San Francisco, CA, USA
230K-260K Annually
Senior level
Design and build a schema-as-code platform for data warehouses, including a Git-style version control system and AI-assisted tooling, while ensuring security and performance.
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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.

Doss San Francisco, California, USA Office

San Francisco, CA, United States

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