1 year ago
Base Salary
$180k - $210k/yr
Responsibilities
- Design the core EAV data model and schema-as-code platform while balancing flexibility with transactional integrity
- Build Git-style version control and migration tooling for complex schema and data changes on live enterprise production tenants
- Develop AI-assisted tooling using foundation models to propose, validate, and apply customer schemas and workflow definitions
- Scale the white-labeled data warehouse for high-volume, low-latency analytics and automation workloads
- Create Terraform-like declarative APIs and SDKs with strong security, tenancy, and performance characteristics
- Deliver end-to-end observability and search across supply-chain, finance, and operations data
- Build enterprise guardrails to detect anomalous behavior and risky emergent patterns
- Mentor teammates, shape engineering culture, and partner with product and design
Requirements
- Expertise building large-scale ETL with databases such as Postgres, Elasticsearch, DuckDB, and Memgraph
- Experience using cloud services to build and deploy reliable web applications
- Experience working with abstractions and complex graph-based architectures that scale
- Clear communication and effective collaboration with technical and non-technical teammates
- Ability to take ownership, make sound technical decisions, evaluate tradeoffs, and drive ambiguous problems through execution
- Team-oriented, curious, growth-minded, pragmatic, quality-focused, and low-ego approach
Benefits
- 100% individual premium medical, dental, and vision coverage
- 401(k) with immediate eligibility
- Lunch provided in-office five days per week, with dinner when needed
- Flexible/unlimited PTO
- Commuter stipends for BART, MUNI, and Caltrain
- Equipment stipend
- Wellness and fitness stipend
- Generous parental leave
- Relocation assistance available
- In-office role in San Francisco
Tech Stack
Categories
About DOSS
DOSS builds an AI-native Operations Cloud for physical product companies, unifying procurement, inventory, orders, fulfillment, and finance in real time. Its subscription platform replaces spreadsheet-based processes and heavyweight ERP implementations with an adaptive data model and workflow automation that teams can deploy quickly. Privately held and headquartered in San Francisco, the company serves consumer and omnichannel brands and has raised a Series B round to scale its product and go-to-market.