Software Engineer, Forward Deployed AI Solutions

Excerpt from the original posting

About Ramp 
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.

About the Role
As a software engineer on the AI Solutions team, you will co-lead customer engagements with an AI Solutions Strategist . The Strategist owns business discovery, ROI narrative, stakeholder alignment, and rollout planning. The engineer owns technical discovery, solution design, prototyping, implementation, and production readiness.
This is a deeply client-facing role. You will spend significant time with customers and end users, moving projects from bootcamp and workflow discovery through implementation, launch, and steady production usage.

What You’ll Do
- Translate customer goals into clear system requirements and non-functional requirements covering security, privacy, reliability, performance, scalability, and cost.

- Partner directly with customers to understand current workflows, constraints, systems, data quality, and adoption blockers.

- Create and maintain solution architecture artifacts:
- System context and data flow diagrams

- Integration plan across Ramp and customer systems

- Security model covering permissions, access patterns, and auditability

- Evaluation plan covering quality metrics, acceptance tests, and red-teaming

- Operational plan covering monitoring, alerting, incident response, and runbooks

- Leverage core Ramp primitives to build efficiently, reusing existing product capabilities wherever possible.

- Prototype and validate workflows with end users to de-risk the approach and prove product-market fit.

- Drive projects from bootcamp and technical discovery through implementation, production…

→ Ramp · Ashby