over 2 years ago
Base Salary
$180k - $230k/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 capabilities for complex schema and data changes on live production tenants.
- Develop AI-assisted tooling using foundation models to propose, validate, and apply customer schemas and workflow definitions.
- Scale a 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 observability and search across supply-chain, finance, and operations data, including AI-native plain-language search.
- Build enterprise guard rails to detect anomalous behavior and risky emergent patterns.
- Mentor engineers and help shape engineering culture while partnering with product and design.
Requirements
- Expertise building large-scale ETL systems 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.
- Collaborative, curious, pragmatic, quality-focused, and low-ego approach to engineering.
Benefits
- Competitive salary and meaningful equity are offered.
- Individuals receive 100% coverage for premium medical, dental, and vision insurance.
- 401(k) eligibility is immediate.
- Lunch is provided in-office five days per week, with dinner when needed.
- Flexible or unlimited PTO is offered.
- Commuter stipends for BART, MUNI, and Caltrain are provided.
- Equipment and wellness/fitness stipends are offered.
- Generous parental leave is available.
- Relocation assistance is available.
- The role follows an in-office culture 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.