
1001 - 5000 employees
🛒 Retail
🤖 Artificial Intelligence
☁️ SaaS
Retail • Artificial Intelligence • SaaS
RELEX Solutions is a leading provider of AI-driven, unified platforms for optimizing retail and supply chain operations. They offer solutions for demand planning, inventory management, and supply chain collaboration to retailers and manufacturers. Their platform helps in aligning supply chain operations with actual demand, increasing profitability through sales optimization and reducing waste. Serving various industries including retail, grocery, and consumer goods, RELEX's platform is known for its advanced analytics, machine learning capabilities, and customizable features, ensuring adaptable and efficient supply chain execution.
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1001 - 5000 employees
🛒 Retail
🤖 Artificial Intelligence
☁️ SaaS
Retail • Artificial Intelligence • SaaS
RELEX Solutions is a leading provider of AI-driven, unified platforms for optimizing retail and supply chain operations. They offer solutions for demand planning, inventory management, and supply chain collaboration to retailers and manufacturers. Their platform helps in aligning supply chain operations with actual demand, increasing profitability through sales optimization and reducing waste. Serving various industries including retail, grocery, and consumer goods, RELEX's platform is known for its advanced analytics, machine learning capabilities, and customizable features, ensuring adaptable and efficient supply chain execution.
• Own iteration, bug fixing, regression testing, and version upgrades across all AI capability deployed into the Sales division. • Maintain release readiness as underlying platforms (Claude, Agentforce, Salesforce, MCP-connected systems) ship new versions or features. • Run a prioritised backlog informed by field feedback, vendor changes, and the strategic roadmap. • Deliver technical builds against design and direction set by the Senior Director, across whichever stack the current initiative requires. • Expected platforms today include Claude skills authoring, Agentforce configuration, Salesforce platform fluency (e.g. metadata, data model, pipeline integrity, deduplication, enrichment logic, and data hygiene at the layer the AI builds depend on), MCP connectors, and knowledge-graph-style data layers. • Write, review, and harden code, configuration, and prompts to a production standard. • Steward the data quality of the CRM and semantic layer that the AI portfolio reads from.
• Technical generalist with demonstrated ability to learn new platforms quickly. • Prior depth in at least one of: Salesforce platform work (metadata, data model, and CRM data integrity, such as deduplication, enrichment, pipeline hygiene), Agentforce or comparable agentic platforms, LLM application development (Claude, OpenAI, or similar), or integration / MCP-style connector work. • Working fluency in at least one general-purpose programming language (Python, TypeScript, or similar) and SQL. • Comfort with analytics, such as writing SQL against Salesforce or warehouse data, and building lightweight dashboards to track AI tool adoption and tie usage to pipeline outcomes. • Strong product instincts: able to prioritise across a noisy inbound queue, distinguish signal from noise in field feedback, and make defensible trade-off calls. • Sales-fluent: understands the seller workflow well enough to evaluate field feedback critically, not just record it. • Strong written communication and async operating habits.
• Health insurance • 401(k) retirement plans • Flexible work arrangements • Professional development opportunities • Paid time off
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