Jobs at FourKites

Manage enterprise customer relationships for a SaaS supply chain platform, driving adoption, usage, retention, satisfaction, and product value. Establish strategic advisor relationships, facilitate executive business reviews, define customer goals and KPIs, identify upsell opportunities, support advocacy, manage escalations, and represent customer needs internally. The role partners closely with Sales and requires cross-functional collaboration and approximately 10% travel.

Own the technical direction and end-to-end delivery of a backend engineering team supporting high-volume supply chain visibility platforms. Design distributed microservices, event-driven systems, data models, integrations, and production architecture. Drive engineering standards, reliability, observability, technical debt reduction, risk management, code quality, mentoring, hiring, and cross-functional coordination. Remain hands-on in Java or Go development while partnering with Product and Engineering Managers to deliver complex multi-quarter initiatives.

Own and scale B2B demand generation programs that convert target accounts into qualified pipeline. Manage paid Google and LinkedIn campaigns, email nurture sequences, webinars, content syndication, social channels, and campaign measurement. Develop strategy, optimize spend and targeting, coordinate vendors and cross-functional teams, and improve reporting on pipeline and ROI. Partner with Marketing, Sales, Product, and Operations to align campaigns with company messaging, launches, and business objectives.

Leads a team of Customer Success Managers responsible for customer relationships, retention, satisfaction, account health, renewals, and expansion. Develops customer success playbooks, coaches team members, manages strategic account risks and escalations, partners with Sales and other departments, and hires and develops employees. Requires approximately 25% travel for client visits.

Own the reference architecture and platform for production AI agents, including agent execution, tool use, state management, recovery, context engineering, model routing, guardrails, and human handoffs. Build shared retrieval, memory, and evaluation infrastructure for offline and online quality measurement. Integrate agents with event-driven systems and customer APIs, review designs, mentor engineers, and connect technical metrics to supply chain business outcomes.

Build, deploy, monitor, and retrain machine learning models for ETA forecasting, status extraction, and logistics automation. Develop NLP and LLM pipelines, manage end-to-end production ML workflows, diagnose performance gaps, and translate model improvements into business value. Collaborate with product, engineering, and operations teams while mentoring data scientists and making architecture tradeoffs.

Own the Over-the-Road visibility product portfolio across truckload, LTL, parcel, and last mile. Analyze adoption, engagement, retention, tracking quality, and ETA accuracy using SQL and product analytics tools. Conduct customer discovery, prioritize roadmaps, build AI-assisted prototypes, and partner with engineering, design, customer success, sales, and marketing to ship measurable product improvements.

Serve as the first point of contact for customers, partners, and consultants. Research, troubleshoot, replicate, and test product issues; track incidents and provide resolution updates. Collaborate with Development, QA, and Consulting Services, occasionally support AI-related initiatives, and participate in a weekend rotation for 24/7 emergencies.

Build and productionize AI agents for customer support, voice interactions, and carrier onboarding. Develop primarily backend applications in Python and Java or Go, design databases and APIs, integrate frontend components, troubleshoot production workflows, conduct code reviews, and deploy services with Kubernetes. Collaborate with product, engineering, DevOps, US teams, and customers to deliver supply chain platform capabilities.

Supports Sales, Customer Success, and Implementation teams by scoping complex SaaS services opportunities, assessing implementation risks, gathering requirements, designing business processes, and finalizing statements of work. Leads prospect workshops, reviews ROM estimates, manages scope and commercial terms, supports RFPs, develops implementation collateral, trains Sales teams, and ensures smooth handoffs into implementation for enterprise supply chain customers.

Lead enterprise SaaS implementations for Global 1000 supply‑chain customers. Serve as trusted advisor and project manager, develop roadmaps, coordinate internal and external stakeholders, run trainings and executive reviews, ensure adoption, and drive continuous improvement across implementation programs.

Manage enterprise customer relationships to drive product adoption, usage, retention, satisfaction, and expansion. Serve as a strategic advisor, establish customer goals and KPIs, conduct executive business reviews, identify upsell opportunities, manage escalations, and advocate for customer needs internally. The role also includes customer training, cross-functional collaboration, and occasional travel for customer engagements.

The Product Manager will oversee the Inventory & Orders module, handling product specifications, customer feedback, and integration requirements, while collaborating with cross-functional teams.

Own product outcomes for OTR & Core Visibility: track adoption KPIs, analyze usage with SQL and analytics tools, engage customers for discovery and onboarding, prioritize backlog, collaborate with engineering/design/data science, and ship features that improve adoption, retention, and customer experience.

Own day-to-day product execution for an Inventory & Orders module: write detailed specs and acceptance criteria, synthesize customer discovery into prioritized backlogs, define integration/data requirements, partner with engineering, solutions, and customer success to ship and roll out features enabling proactive supply chain decision-making.

Build and maintain Java backend services and end-to-end features (backend and frontend). Design data models and DB schemas, integrate with frontend, perform code reviews, troubleshoot, deploy with DevOps, and collaborate with US teams and partners to expand the supply-chain platform.