Staff Backend Engineer at Doss

San Francisco, California, United States

Doss Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Supply Chain, Finance, OperationsIndustries

Requirements

  • 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
  • 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

Responsibilities

  • 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

Skills

Postgres
Elasticsearch
DuckDB
Memgraph
ETL
BigQuery
Snowflake
Git
Terraform
Graph DB
Schema Migration
Observability
AI Tooling
Foundation Models

Doss

AI-driven enterprise software for operations

About Doss

Doss offers the Doss Adaptive Resource Platform (ARP), which combines traditional Enterprise Resource Planning (ERP) systems with artificial intelligence (AI) and machine learning (ML) to help mid-sized to large enterprises streamline their operations. The platform is designed for industries like retail, manufacturing, and logistics, allowing for efficient inventory management and seamless integration with existing systems. Doss stands out by providing a much faster onboarding process compared to traditional ERP systems, which can take up to 18 months to implement. The company operates on a subscription model, offering unlimited users and features for a monthly fee, aiming to enhance operational efficiency and support business growth.

San Francisco, CA, USAHeadquarters
2022Year Founded
VENTURE_UNKNOWNCompany Stage
Enterprise Software, AI & Machine LearningIndustries
11-50Employees

Risks

Competition from established ERP providers integrating AI and ML features.
Potential customer resistance to transitioning from traditional ERP systems.
Economic downturns may affect subscription renewals and new acquisitions.

Differentiation

Doss offers a quicker onboarding process than traditional ERP systems.
The platform integrates AI and ML for enhanced operational efficiency.
Doss provides a cost-effective subscription model with unlimited users.

Upsides

Growing demand for AI-driven ERP solutions boosts Doss's market potential.
Subscription-based models offer predictable costs and scalability for clients.
Self-service onboarding reduces implementation time and costs for businesses.

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