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Deploy and own production AI agent integrations for large logistics customers: reverse-engineer undocumented systems, build integrations, debug distributed production failures, run onsite launches, and turn recurring patterns into reusable product capabilities while partnering with engineering and product teams.

Deploy and operate production AI agents for logistics customers: reverse-engineer legacy systems, build integrations, debug distributed production failures, run onsite go-lives (~25% travel), and convert recurring implementation patterns into product capabilities to influence roadmap.

Build and maintain core platform services that power AI systems and developer workflows. Design and implement authentication, authorization, secrets management, multi-region infrastructure, observability, and operational tooling. Partner with AI and product teams, identify and eliminate systemic risks, and own projects from architecture through production rollout.

Build, lead, and scale Pallet's SDR organization: optimize processes, create an outbound playbook, coach SDRs as a player-coach, align with Marketing and Sales, track performance metrics, and recruit and onboard SDR talent to generate predictable pipeline at scale.

Lead Pallet's GRC function: run SOC 1 and SOC 2 Type II audit cycles, build GDPR and CCPA privacy operations, manage auditor and customer trust interactions, implement continuous-compliance tooling, embed security and privacy into engineering workflows, stand up vendor risk management, and own the customer-facing trust motion to shorten enterprise sales cycles.

Build, lead, and scale Pallet's SDR organization: diagnose and optimize SDR motion, create the outbound playbook, coach and develop SDRs, align with Marketing and Sales, track performance metrics, personally prospect as a player-coach, and recruit and onboard future SDR talent.

Own top-of-funnel outbound prospecting: build targeted lists, run campaigns with Apollo, LinkedIn Sales Navigator, and email automation, book meetings for AEs, iterate messaging and playbooks, and surface prospect feedback to improve go-to-market.

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.

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.

Build and own Pallet's go-to-market and product marketing strategy: craft launch narratives, create sales enablement, develop market positioning and case studies, coordinate cross-functional launches, and analyze sales and product data to improve messaging and GTM impact.