RELEX Solutions is looking to solve the problem of helping retailers make optimal commercial decisions using AI-driven insights to set strategic prices and plan impactful promotions, thereby growing profitably and staying competitive in fast-moving markets.
Requirements
- RELEX Pricing & Promotions platform
- Forecasting, replenishment, micro space, macro space, price, and promotional analytics engines
- Data platforms (preferred): Snowflake, SQL, TQL
- Observability tools (optional): Grafana, Datadog, Prometheus
- Collaboration tools (optional): Miro, Confluence, Git, Excel
- Experience with pricing optimization tools or promotional analytics platforms
- Familiarity with RELEX or similar SaaS platforms in the retail space
Responsibilities
- Designing forward-thinking technical solutions & demonstrations tailored to retailer pricing and promo needs
- Analyze retailer data to generate insights that support pricing and promotion strategies
- Simulate promotions and pricing scenarios, evaluating their impact on sales, margin, and traffic
- Design and validate technical solutions for the RELEX Pricing & Promotions platform, ensuring scalability and performance
- Manage technical workflows across data extraction, transformation, model training, evaluation, and output
- Support data scoping and validation to ensure quality, relevance, and readiness for forecasting and pricing analysis
- Develop and present demos, prototypes, and KPI evaluations tailored to commercial decision-makers
Other
- 2+ years of experience in pricing, promotions, analytics, presales, or technical roles
- Strong analytical skills and experience in data modeling, forecasting, or promotion evaluation
- Proven ability to support commercial strategy with technical insight and business cases
- Deep understanding of pricing lifecycle, retail processes, and promotional planning
- Fluent English communication skills
