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Nash is hiring across various teams and welcomes applications for roles that align with candidates' skills and ambitions. The company focuses on modern logistics through a unified platform that orchestrates resources and delivery logistics in real time.

Lead technical discovery with enterprise customers, design integration architectures (APIs, webhooks, auth, payloads), build demos and POCs, validate technical solutions through the sales cycle, prototype and test AI models/agents, create reusable tooling and test harnesses, and close feedback loops with Product and Engineering while training and scaling the GTM/SE function.

Lead technical presales for enterprise logistics customers: discover pain points, design tailored AI-enabled solutions, run demos/POCs, map integrations, build ROI models, and present business cases to executive buyers while codifying repeatable approaches for GTM.

Lead end-to-end data science efforts across pricing, dispatch, carrier selection, ETA prediction, routing, and forecasting. Own discovery through production, build models and pipelines with Python/SQL/Snowflake, partner with engineering to serve models, establish evaluation/monitoring/A-B testing, and measure impact on cost, reliability, and delivery performance while working closely with product, operations, and customers.

Build, deploy, and operate production backend systems and integrations for enterprise retail logistics. Work directly with customers and internal product/AI teams to take features from concept to live deployments, debug logistics workflows, and extend core infrastructure across APAC.