Solution Analyst, Agentic Integrations

Why join Coupa?

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.

• Pioneering Technology: At Coupa, we’re at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.
• Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.
• Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other.

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Bridges business requirements, the overall solution direction, and Coupa’s curated Snowflake data mart with the agentic AI integrations this team builds. Takes the high-level solution - what the business needs, what data is available - and elaborates it into detailed, buildable integration specifications: field-level mappings, data contracts, error handling, edge cases. Unlike a pure spec-writer, this role also writes code directly on integrations when doing so is faster than a full handoff, working alongside the Integration Engineers.

Owns the consumption-side relationship with the Data/Analytics team that curates the mart. Does not own or build the data mart itself.

• Gather and translate business requirements (Finance, Procurement, IT stakeholders) into agentic solution designs.
• Elaborate the overall solution direction into detailed technical specifications for each integration - field-level data mappings, transformation logic, error handling, and edge cases - before build starts.
• Partner with the Data/Analytics team that owns the Snowflake mart to define consumption requirements: which curated tables/views, refresh cadence, and access scope each agent use case needs.
• Define data contracts and semantic mappings between curated Snowflake datasets and MCP tool schemas/connector outputs.
• Produce solution blueprints - data flow, business logic, acceptance criteria - for each new agentic use case before build starts.
• Write code directly on integrations - prototypes, mapping/transformation logic, or first-pass connector implementations - particularly where a detailed spec alone would be slower than a working draft.
• Validate technical feasibility of proposed solutions with the Technical Architect against platform standards.
• Own use-case-level acceptance criteria; validate delivered connectors/agents meet business intent, not just technical spec.
• Maintain a living catalog of curated data domains and the agent use cases mapped to each.
• Serve as primary liaison between the integration team and business/data stakeholders

• 6+ years in solution/business analysis, integration engineering, or a similar role bridging business and engineering teams.
• Proficient in Python or Type Script/Node.js - comfortable writing and shipping working code, not just specifying it for someone else to build.
• Strong SQL and hands-on experience with Snowflake (or a comparable cloud data warehouse) - data models, views, semantic layers.
• Track record translating ambiguous business requirements into detailed technical specifications engineering teams can build from directly.
• Working familiarity with agent/LLM tool-calling concepts (MCP or similar) -…