The opportunity
We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers.
What you'll do
Understand project44’s ICP and their Supply Chain Systems of record, and our: customers’ needs to integrate to those solutions. Additionally, understand adjacent solutions and data sources and how our customers use those to fuel their supply chain solutions.
Define and document system-to-system workflows: which source systems we ingest from (Supply / Demand Planning, ERP, TMS/WMS, EDI/API feeds) and which destination systems we egress to (Supply Chain Planning systems, partner systems, cloud Datawarehouse systems), including sequencing the work and business rules
Write business design documents, PRD’s, design specs and any documentation: necessary to communicate system integrations and data types need to support required workflows.
Own business process design for interoperability: map as-is and to-be workflows for scenarios like order-to-cash, Transportation Planning and Execution, and Supply and Demand Planning lifecycles, exception handling, and translate them into structured system-to-system data flows
Understand fundamentals of MCP interoperability and where it’s used: and how system to system interoperability goals can be met between LLM’s
Define the success metrics and acceptance criteria for each workflow or: integration pattern before build begins, and own whether those metrics are actually met post-launch
What they're looking for
- Act as the source of truth for interoperability workflow definitions: what data moves, between which systems, under what conditions - resolving ambiguity before it reaches Engineering
- Run structured discovery with customers, partners, and internal stakeholders: (Sales, Customer Success, Solutions Engineering) to capture current-state process gaps and target-state workflow designs
- Partner with Data/Platform Engineering to validate that workflow designs are: compatible with cloud data warehouse ingestion and transformation patterns (Snowflake, Databricks)
- Prioritize and sequence workflow design work across the interoperability: roadmap, balancing one-off customer requests against scalable, reusable process patterns
