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The role involves deploying AI agents within logistics firms, reverse engineering systems, debugging data integrations, and ensuring production stability with customer interactions.

Lead full-stack growth for Pallet across outbound, website conversion, SEO, paid, affiliates, and new channels. Develop strategy, run and analyze high-volume experiments, build tracking and attribution, operationalize validated channels, and lead cross-functional projects to scale predictable, automated acquisition.

The Product Engineer will customize solutions for clients, build AI-driven logistics products, collaborate with teams, and influence product direction from ideation to deployment.

The Deployment Strategist manages enterprise customer deployments, ensuring successful integration of AI workflows, and serves as the main client contact throughout the process.

Drive technical validation and demos for enterprise logistics customers by building quick integrations/prototypes, mapping data flows across TMS/WMS/CRM, partnering with Sales on proofs of concept, and feeding product insights back to engineering. Enable GTM with demo templates and briefings while shaping the Sales Engineering playbook for AI-driven automation and agent workflows.

Own full-cycle enterprise sales for net-new acquisition, leading a consultative process to drive solution selling and ROI evaluation in the logistics sector.