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.

About the role:

Every ERP claims to be AI-powered. Almost none of them let an operator ask a question in plain language and get an answer grounded in their live procurement inventory and finance data let alone let an agent safely take action on it. Thats the goal of this job: youll own applied AI across Doss: Dossbot (query analyze and automate via chat) AI-assisted schema and workflow generation and the agentic automations that turn back-office busywork into background processes. Youll be the technical anchor for how foundation models meet a transactional system of record.

What youll do:

• Own the applied AI architecture end-to-end: model selection orchestration RAG over the unified operational data model evals guardrails and cost/latency budgets in production.

• Build Dossbot into the primary interface for operations: natural-language search analysis and automation grounded in live supply-chain finance and ops data.

• Engineer AI-assisted tooling that uses foundation models to propose validate and apply customer schemas and workflow definitions on live production tenants.

• Design agentic workflows that act inside enterprise guardrails: permission-aware auditable tenant-isolated and safe to run against a customers system of record.

• Stand up the eval and observability infrastructure to measure quality catch regressions and proactively detect anomalous or risky emergent behavior.

• Partner with product design and our Forward Deployed team to deliver on their highest-leverage AI use cases.

• Mentor and shape engineering culture as the teams center of gravity for applied AI raising the bar on how we build evaluate and ship LLM-powered systems.

What were looking for:

Experience

• Shipped LLM-powered features or agents to production and operated them at scale not just prototypes or demos.

• Deep hands-on work with foundation model APIs RAG pipelines tool use/function calling prompt and context engineering and fine-tuning where it earns its keep.

• Built eval harnesses and guardrails for non-deterministic systems running against business-critical data.

• Strong backend fundamentals: Designing systems Postgres and cloud services for reliable multi-tenant web applications.

• Going from 0 to 1 in ambiguous settings and judgment for when AI is the right tool and when it isnt.

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.

• Customer First: you care immensely about the customer experience journey and want to create a product full of delight.

• Pragmatic: you make the right decision based on circumstance not theory.

• Low Ego: you work best in collaborative environments where everyone supports the team.

What Youll Get

• Competitive salary meaningful equity

• 100% Coverage for individuals Premium medical dental & vision coverage

• 401(k) immediate eligibility

• Lunch in-office 5 days/week (and dinner when needed)

• Flexible/unlimited PTO

• Commuter (BART/MUNI/CalTrain) and equipment stipends

• Wellness & Fitness stipend

• Generous parental leave

• Relocation assistance available

• In-office culture in San Francisco

Required Experience:

Staff IC