Forward Deployed Engineer | Pricing & Promotions Overview RELEX Solutions delivers a unified supply chain planning platform for retailers and manufacturers, enabled by proven AI technology. We help companies optimize demand forecasting, replenishment, merchandising, pricing and promotions, supply chain operations, and production planning across the end-to-end value chain.With a global team of over 2,000 professionals, we work side-by-side with our customers to solve real problems with lasting impact. Companies trust RELEX to increase product availability, boost sales, deliver actionable insights, improve sustainability, and drive profitable growth.Within RELEX, our Pricing & Promotions team builds cloud-native tools on Google Cloud Platform (GCP) that help businesses make smarter pricing decisions. From large-scale data processing pipelines in Go to intuitive TypeScript/React user interfaces, we design systems that are fast, scalable, and meaningful.In response to our fast growth and market expansion, we are looking for a Forward Deployed Engineer to join our Pricing & Promotions team.Responsibilities This is not a consulting role or a solutions architect role. You will write production code that runs in live customer environments, own data pipeline deployments end to end, and be the technical face of RELEX Pricing & Promotions to US retailers.The role could be thought of as a mix of traditional data/platform/software engineering, with the addition of developing closely with the customers. That means that you will vibecodeprototypes with the customers and then implement those into the product. The goal is to make integrations as seamless as possible.Engage across the full customer organization: from C-suite to shop floor. You own relationships at every level, from the executive sponsor setting the mandate to the store staff running your solution day to dayLead requirements end to end: gather, understand, workshop, challenge, and agree on what customers actually need, not just what they ask for. You make sure we build the right thingDesign and ship: production-grade data pipelines and integrations that handle large-scale, customer-specific datasets in cloud environmentsOwn outcomes: KPI delivery, solution performance, and SLAs. You know what “works” means in measurable terms, and you stay accountable until you get thereQualifications Proven experience designing and building scalable data pipelines for large-scale data processing, in production, not just in devStrong understanding of data modeling, observability, and hypothesis-driven developmentExperience building integrations for downstream or customer-facing systemsSolid working knowledge of cloud platforms, and modern data stacksStrong business acumen: you can translate technical work into measurable financial impact and communicate it clearly to a non-technical audienceComfortable managing ambiguity and taking full ownership of outcomesComfortable using AI in your everyday work and developing AI tool adoption as an organizational strategyFluent in written and spoken EnglishAdvantages Experience in grocery retail, pricing, promotions, or supply chain environmentsPrior exposure to demand forecasting or ML-based pricing and promotions systemsWhat we offer in return You'll be supported and given the space to thrive. We offer meaningful work, flexibility, and a culture that backs you to share your voice and be authentic.Flexibility in how and where you workRoom to grow in a fast-moving global company with a strong market positionPractical benefits supporting work, family, wellness, and everyday lifeOwnership, autonomy, and flat hierarchiesWork that meaningfully reduces waste and improves sustainabilityA diverse, inclusive, and supportive work cultureTwo paid volunteering days each yearBefore you apply You must be authorized to work in the United States. This role does not offer visa sponsorship now or in the future.You must be based in the US and available for regular domestic travel to customer sites. This is a field-embedded role, not a remote position.You have direct experience working with US enterprise or mid-market customers in a technical or solutions capacity. Candidates without US customer-facing experience will not be considered.You should be based in the US east timezone, as many of your colleagues are based in western Europe.#J-18808-Ljbffr
