Flexport17 days ago

Forward Deployed Engineer - Supply Chain Solutions

Salary not specified

MARKET

16,167 ₽median for this role

Data Scientist · 96 jobs with disclosed pay

5,800half of the offers: 13,208–20,77743,793

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San Francisco

Responsibilities

01Travel to client sites to map end-to-end supply chain processes, audit legacy systems, uncover hidden financial leaks, and translate complex operational constraints into technical architectures
02Design and build production solutions spanning customer applications, internal tools, APIs, data pipelines, decision-support systems, and workflow automations connecting directly to client ERPs (SAP, Oracle, NetSuite), WMS, and TMS systems
03Design and ship production-grade AI applications, agentic LLM workflows, and decision engines
04Apply optimization algorithms and analytical methods to real-world logistics challenges to problems such as routing, mode selection, inventory positioning, container utilization, consolidation, and exception prioritization
05Drive high-velocity deployment sprints, taking solutions from discovery and architecture to live production deployment, operator adoption, and verified hard-dollar ROI measurement
06Partner closely with Flexport core Product and Platform Engineering teams to turn custom, field-tested client builds into reusable platform capabilities for our global logistics engine
07Work side-by-side with frontline logistics teams at ports, cross-docks, and client sites to validate code in live operational workflows, train users, and ensure lasting adoption
08Communicate technical trade-offs, system architecture, and financial outcomes directly to client technical leaders and C-suite executives

01BA/BS degree or equivalent practical experience in Computer Science, Software Engineering, Operations Research, Applied Mathematics, or a related technical field
024+ years of professional software engineering experience building customer-facing or mission-critical applications
03Demonstrated ability to build and integrate AI/ML solutions (LLM orchestration, agentic workflows, machine learning models, or mathematical optimization solvers)
04Strong skills in designing data models, pipeline transformations (ETL), API integrations, and event-driven workflows across complex enterprise software architectures
05Passion for going on-site, whiteboarding complex workflows with executive stakeholders, sitting with frontline operators, and building deep trust with technical and business teams
06Ability to reason through messy real-world data, imperfect operational dependencies, and economic trade-offs under high-ambiguity conditions
07High autonomy, self-starter mentality, and a track record of delivering end-to-end projects with measurable financial or operational impact
08Willingness to travel to customer headquarters and logistics sites as needed to work directly on the operational frontline