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Recently posted jobs
Artificial Intelligence • Software
Build and operate backend services, APIs, integrations, event-processing systems, and data models for a logistics platform. Develop full-stack web features using React and Svelte, support Vision AI and offline mobile workflows, optimize performance, maintain security and multi-tenant isolation, and own production operations including deployment, monitoring, on-call, and incident resolution.
Artificial Intelligence • Software
Own QA automation across mobile, web, API, SDK, and Vision AI workflows. Build Playwright, WebdriverIO, Appium, and Vitest frameworks; integrate testing with CI/CD; maintain reporting and test data; investigate flaky tests; and perform exploratory validation on real Android and iOS devices. Test offline sync, scanning, camera capture, poor network conditions, and customer workflows. Provide release readiness evidence, improve testability, and isolate production issues.
Artificial Intelligence • Software
Build and configure enterprise workflows for logistics and physical operations customers. Responsibilities include React Native mobile development, workflow mapping and configuration, solution design, pilots, testing, integrations, troubleshooting, documentation, and customer implementation through go-live. The role combines customer-facing technical ownership with hands-on mobile engineering, including device provisioning, camera-based features, workflow automation, and collaboration with Product, Engineering, AI, Sales, and Implementation teams.
Artificial Intelligence • Software
Own the strategy, development, and production deployment of data science and machine learning products. Mine operational and customer data for anomalies and business insights, build NLP and predictive models, design ETL pipelines and data warehouses, expose services through APIs, and create dashboards for leadership and operations. Define product requirements, prioritize the data roadmap, communicate findings, and track adoption and business impact after launch.
Artificial Intelligence • Software
Leads complex enterprise customer implementations from closed-won commitment through go-live, adoption, measurable ROI, and account health. Owns implementation plans, milestones, risks, technical coordination, customer onboarding, executive updates, value realization, and process improvement. Partners across Sales, Product, Engineering, AI, and customer teams while identifying expansion signals. The role requires strong enterprise stakeholder management, technical understanding of integrations and workflows, and regular customer-site travel.
Artificial Intelligence • Software
Own enterprise customer opportunities from discovery through commercial close and implementation transition. Lead operational workflow discovery, solution design, platform configuration, pilot testing, technical validation, stakeholder engagement, and value articulation. Build and troubleshoot workflows, integrations, automations, forms, and logic while progressing sales opportunities. Travel regularly to customer sites for operational walkthroughs, pilots, executive readouts, and go-live activities. Partner with GTM, AI, technology, and implementation teams to deliver repeatable solutions.
Artificial Intelligence • Software
Develop and execute B2B SaaS content strategies focused on AI, logistics, supply chain, warehousing, and enterprise technology. Research complex topics, create SEO and thought-leadership content, optimize for traditional and AI-powered search, use AI tools to accelerate production, and collaborate with marketing, product, sales, SEO, and subject-matter experts. Monitor performance metrics, identify content opportunities, improve existing assets, and build scalable content processes.
Artificial Intelligence • Software
Lead and coordinate complex enterprise implementations of a logistics-focused SaaS platform. Convert closed-won deals into implementation plans, manage timelines, risks, integrations, adoption tracking, and ROI/value realization. Serve as senior customer-facing operator across technical, operational, and executive stakeholders, build playbooks, improve post-sales processes, and hand off expansion signals to commercial teams.


