Solutions Engineer
Skills
Warehouse Management SystemsComplex SystemsData ArchitectureEnhanced Data Rates For GSM EvolutionPoint Of Sale SystemsPresalesSales
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 4 to 6 years in solutions engineering presales technical GTM growth engineering or similar customer facing technical role
- Hands-on comfort with AI tools and models including prompts agents evaluations and failure testing
- Ability to write scripts transform data work with APIs debug integrations and stand up sandboxes or prototypes
- Fluency with system architecture and integration patterns including REST APIs webhooks authentication JSON payloads and data flows across OMS WMS TMS and POS
- Experience designing and running technical demos trials or POCs with success criteria and decision paths
- Strong technical discovery skills across stakeholders and complex enterprise environments
- Ability to turn technical complexity into clear architecture diagrams and explain tradeoffs to varied audiences
- Ownership instinct strong product judgment and comfort with ambiguity
Nice to have
- 2+ years sales engineering
- Growth engineering
- AI-native product experience
- Logistics experience
- Supply chain experience
Day to day
- Lead technical discovery with customer engineering IT and operations teams to uncover systems workflows data business rules constraints and failure points
- Design clear integration architectures for Nash including connections endpoints payloads authentication webhooks data ownership error handling and required changes
- Build technical demos POCs prototypes scripts and test environments while validating AI workflows product capabilities and customer fit
- Create reusable tooling documentation and playbooks and partner closely with Product Engineering and GTM teams to remove blockers and raise technical standards