Fetcherr is an AI-driven company specializing in deep learning, algorithmic trading, and large-scale data solutions. Our core technology, the Large Market Model (LMM), enables accurate demand forecasting and real-time, data-driven decision-making. Originally focused on the airline industry, Fetcherr is expanding its AI solutions across additional industries.
We are looking for a Subject Matter Expert (SME) to support the development of a new AI-driven pricing solution tailored to the consumer appliances and durable goods retail industry. The ideal candidate brings hands-on experience in promotional pricing strategy, retail revenue management, or demand-driven merchandising within a major appliance manufacturer, big-box retailer, or related e-commerce environment.
This role will act as a strategic advisor to our product, data, and engineering teams — helping shape the solution, validate assumptions, and guide the development of models and data strategy specific to the appliances retail environment (e.g., promotional pricing cadence, MAP/pMAP dynamics, SKU-level demand signals, channel mix, and big-box retailer relationships).
Key Responsibilities
- Advise on approaches for promotional pricing optimization, including pMAP (Promotional Advertised Price) recommendations, intra-period audibles, and MAP strategy across retail channels
- Help define data requirements specific to consumer appliances: historical SKU-level sales data, promotional calendars, competitive rate feeds, channel mix (big-box, DTC, marketplace), and regional demand signals
- Provide deep expertise on appliance retail pricing dynamics including MSRP, MAP, and pMAP mechanics, promotional event cadence (typically 2–4 week cycles), advance planning timelines, and retailer negotiation practices
- Guide revenue management strategy covering promotional lift measurement, seasonality adjustments, SKU-level optimization trade-offs, and the tension between volume and margin across retail and DTC channels
- Advise on direct-to-consumer and marketplace pricing: where GE and similar manufacturers have direct price control and can operate at a faster optimization cadence than through big-box retail
- Work closely with product, data, and engineering teams to translate pricing business logic into model features and product requirements — including explainability requirements critical for adoption
- Validate model assumptions, review recommendations against real-world retail scenarios, help define guardrail frameworks, and prioritize experiments during the pilot phase
- Conduct a structured gap analysis between Fetcherr's current product capabilities and the requirements of the consumer appliances and retail pricing environment
- Share knowledge on industry benchmarks, competitive pricing behavior, and channel-specific dynamics (Home Depot, Lowe's, Best Buy, OTA, GE direct), including how promotional compliance and retailer sell-through interact