6 hours ago
Base Salary
$230k - $260k/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 production tenants.
- Develop AI-assisted tooling for proposing, validating, and applying customer schemas and workflow definitions.
- Scale a white-labeled analytical data warehouse for high-volume, low-latency analytics and automation workloads.
- Create Terraform-like declarative APIs and SDKs for treating business processes as code, with strong security, tenancy, and performance.
- Deliver observability, search, anomaly detection, and enterprise guard rails across supply-chain, finance, and operations data.
- Mentor engineers and help shape engineering culture while partnering with product and design.
Requirements
- Expertise building large-scale ETL using 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.
- Collaborative, curious, pragmatic, quality-focused, and low-ego approach to engineering.
Benefits
- Competitive salary and meaningful equity.
- 100% individual premium medical, dental, and vision coverage.
- 401(k) with immediate eligibility.
- Lunch in the office five days per week, with dinner when needed.
- Flexible or unlimited PTO.
- Commuter stipends for BART, MUNI, and CalTrain, plus equipment stipends.
- Wellness and fitness stipend.
- Generous parental leave.
- Relocation assistance available.
- In-office work culture in San Francisco.
Tech Stack
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.