Solution Engineer - SaaS Platform
First seen by Alion on Jul 21, 2026.
An AI-driven logistics SaaS platform that optimizes complex supply chain networks is seeking a Solution Engineer to serve as the analytical backbone for their pre-sales and solutioning efforts.
The Ideal Profile :
- Experience: 7+ years of overall experience, with 36 years specifically in logistics modelling, supply chain analytics, BI, or simulation engineering. Prior exposure to the US market and handling US clients is mandatory.
- Technical Stack: Strong proficiency in Excel, SQL, and Python for data manipulation, coupled with expertise in BI tools like Power BI, Tableau, Qlik, or Looker.
- Domain Knowledge: Deep understanding of logistics operations, including FTL/LTL, last-mile delivery, routing, and multi-constraint network planning.
- Key Capabilities: Proven ability to build high-fidelity simulations, develop KPI packs, and present data-backed ROI models to CXO-level stakeholders and Operations Heads.
Key Responsibilities :
- Develop and deploy advanced simulation models to evaluate supply chain performance, enabling stakeholders to make data-backed decisions under various market scenarios.
- Architect end-to-end analytics solutions by leveraging Python and SQL to extract, clean, and process large-scale logistics datasets for high-impact reporting.
- Lead presales engagements by demonstrating the value of our analytical tools to prospective clients, ensuring technical alignment with their specific operational challenges.
- Create intuitive dashboards and visual narratives using Power BI and Tableau to communicate complex optimization insights to non-technical executive leadership.
- Partner with internal engineering teams to refine optimization algorithms, ensuring that our models remain scalable and responsive to evolving industry demands.
Skills
SaaS, Analytics, Business Intelligence, UE Simulator, SQL, Python, Power BI, Tableau, Looker