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Join the Future of Supply Chain Intelligence — Powered by Agentic AIAt Resilinc, we’re pioneering intelligent, autonomous systems that redefine supply chain risk management. Our agentic AI helps global enterprises predict disruptions, assess impact, and act in real time — before operations are affected. Named a 2025 Gartner® Magic Quadrant™ Leader, we’re trusted by top companies in life sciences & pharma, aerospace & defense, high tech, and automotive to protect what matters most. Be part of a team that's redefining resilience on a global scale.But the real power behind Resilinc? Our people. We’re a fully remote, mission-led team making sure life-saving products and critical goods get where they’re needed, fast. We offer the chance to do meaningful work in a collaborative, empowering culture—where you can be an agent of change. Join us to tackle critical global challenges through high-impact work that matters.Resilinc is hiring a Forward Deployed Engineer to help deliver our most complex enterprise deployments.This role sits at the intersection of customer delivery, product discovery, data engineering, applied AI, and software engineering. You will work directly with strategic customers and cross-functional teams across Agent Success, Product, Engineering, Data, Support, and Sales to solve deployment challenges that go beyond standard implementation.You are not here to coordinate work from the sidelines. You are here to understand the problem, define the technical path, build what is needed, deploy it into production, and leave behind something maintainable, documented, observable, and supportable.The mission is simple: compress time-to-value for Resilinc’s most complex customers while ensuring that custom work becomes reusable learning, not long-term operational debt.MissionDeliver production-ready technical solutions for Resilinc’s most complex enterprise customers by turning ambiguous business, data, workflow, and AI deployment requirements into scalable, well-documented, supportable software and implementation patterns.What You Will DoLead complex enterprise deployments from ambiguity to productionPartner directly with strategic customers and internal teams to understand business goals, technical constraints, data realities, delivery risks, and success metrics. Translate those inputs into a clear technical approach that accelerates deployment and value realization.Build what standard implementation cannot coverDesign, build, and deliver production-quality solutions required for complex deployments, including:Data ingestion and transformation utilitiesERP, Snowflake, Databricks, API, and external system integrationsWorkflow automationsAgentic AI deployment extensionsCustomer-specific data validation and enrichment toolsLightweight services or applications that support go-live readinessRepeatable accelerators for future enterprise deploymentsEnable agentic AI deployments in real enterprise environmentsHelp customers deploy and operationalize Resilinc’s agentic capabilities across use cases such as disruption intelligence, tariff risk, forced labor compliance, supplier risk, multi-tier mapping, and event-driven workflows.You will help bridge the gap between the platform’s agentic capabilities and each customer’s real-world data, process, governance, and operating model.Create solutions that are fast to deliver and safe to inheritEstablish strong engineering discipline for everything you ship, including:Clean codeTestingDocumentationSecurity considerationsLogging and observabilityDeployment readinessOperational handoffSupportabilityThe goal is not just to solve the immediate customer problem. The goal is to solve it in a way that another team can understand, operate, and improve.Reduce friction for high-complexity accountsWork on the most demanding deployments where standard playbooks are not enough. Help unblock go-lives, stabilize early production usage, reduce escalation risk, and accelerate measurable customer outcomes.Turn customer-specific work into product and platform insightIdentify repeated patterns across enterprise deployments. Distinguish true one-off customization from broader market needs. Feed clear, actionable recommendations back to Product and Engineering so Resilinc can convert repeated customer needs into reusable platform capabilities.Help define how forward-deployed engineering scalesContribute to the operating model, standards, tooling, reusable templates, engagement rules, and handoff practices for this new function. The goal is to create leverage, not heroics.What This Role Is and Is NotThis role is designed to solve hard technical deployment problems and create reusable patterns.This role owns:Complex deployment engineeringCustomer-specific technical solution designProduction-ready acceleratorsIntegration and workflow problem solvingAgentic AI deployment enablementTechnical unblockers for strategic accountsReusable implementation patternsProduct feedback from real enterprise deploymentsThis role does not own:Routine customer supportLong-term maintenance of every custom solutionStandard implementation project managementCore product roadmap ownershipGeneral pre-sales demonstrationsOne-off hero work without documentation or handoffWhat Success Looks LikeSuccess in this role will be measured by your ability to:Reduce time-to-value for complex enterprise deploymentsUnblock strategic customer go-livesImprove deployment quality and predictabilityReduce long-term operational debt from custom workCreate reusable accelerators, templates, and implementation patternsImprove handoff quality to Agent Success, Support, and EngineeringSurface product gaps and repeated customer patterns with clear recommendationsHelp customers operationalize Resilinc’s agentic AI capabilities in productionWhat You Will Bring2 to 5 years of experience in software engineering, implementation engineering, applied AI engineering, solutions engineering, data engineering, or a similarly technical role in enterprise software or AI-first SaaSStrong hands-on coding experience, especially in PythonExperience building and shipping production-grade workflows, services, applications, integrations, or data utilitiesHands-on experience with Databricks, including PySpark, Delta tables, pipeline development, and data-sharing patternsExperience building and managing data pipelines that ingest, validate, transform, and operationalize data from sources such as Snowflake, ERP systems, APIs, flat files, and customer data warehousesExperience designing or contributing to data warehouse architecture, scalable ingestion workflows, data models, and transformation logicStrong understanding of cloud-native application design and production practices, including deployment, testing, logging, monitoring, observability, and operational supportExperience translating ambiguous customer requirements into clear technical solutions, delivery plans, and production-ready outputsAbility to work effectively with technical and non-technical stakeholders, including executives, supply chain leaders, IT teams, data teams, implementation teams, Product, Engineering, Agent Success, and SupportStrong written communication skills, with disciplined documentation and handoff practicesHigh ownership, strong execution, and comfort operating in ambiguous, fast-moving enterprise environmentsStrong product and systems thinking, including the ability to identify repeatable patterns and separate one-off customization from broader platform opportunitiesWhat Will Make You Stand OutExperience with AI-enabled workflows, LLM-powered applications, agentic systems, or orchestration frameworks such as LangChain, LangGraph, or similar toolsExperience deploying AI or analytics solutions into real enterprise operating environmentsExperience turning repeated customer requirements into reusable accelerators, frameworks, templates, or productizable capabilitiesBackground in supply chain, risk management, manufacturing, procurement, logistics, compliance, or complex operational environmentsExperience working with highly variable enterprise data landscapes, including fragmented source systems, inconsistent schemas, incomplete master data, and nonstandard workflowsExperience balancing customer-specific delivery with long-term platform maintainabilityExperience working in a forward-deployed engineering, field engineering, implementation engineering, or technical customer-facing engineering role.Why This Role MattersResilinc is scaling an agentic AI platform in one of the most complex areas of enterprise software: global supply chain risk.The hardest part is not only building powerful AI capabilities. The hardest part is getting those capabilities deployed into real customer environments, with real data, real workflows, real constraints, and real business outcomes.That is what this role is built for.As a Forward Deployed Engineer, you will help Resilinc move faster, serve strategic customers better, turn field learning into platform leverage, and make agentic AI real in enterprise supply chain operations.What's in it for you? At Resilinc, we’re fully remote, with plenty of opportunities to connect in person. We provide a culture where ownership, purpose, technical growth and a voice in shaping impactful technology are at our core. Oh, and the perks? Full-stack benefits for health, wealth and wellbeing to keep you thriving. Check in with your talent acquisition contact for a location-specific FAQ.Curious to know more about us? Dive in at www.resilinc.aiMore great news! Resilinc is backed by Vista Equity Partners
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