About Fetcherr

Experts in deep learning, e-commerce, and digitization, Fetcherr disrupts traditional systems with its cutting-edge AI technology. At its core is the Market Model, an adaptable AI engine that forecasts demand and market trends with precision, empowering real-time decision-making. Initially focused on the airline industry, Fetcherr is expanding to transform additional verticals with dynamic AI-driven solutions.

The Role

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

• Proven experience in pricing optimization, demand forecasting, or revenue management — specifically within consumer appliances manufacturing, big-box retail, or durable goods e-commerce — a must
• Deep familiarity with retail pricing mechanics: MSRP, MAP, and pMAP structures; promotional event planning and execution; retailer co-op agreements; and intra-period price adjustment processes (audibles)
• Ability to bridge business knowledge and data/product teams — translating retail pricing logic and promotional dynamics into actionable modeling strategies and feature definitions
• Experience with relevant data sources and systems: POS/sell-through data by SKU and region, competitive price monitoring tools, promotional planning systems, and channel performance reporting
• Familiarity with key industry metrics: promotional lift, sell-through rate, revenue per SKU, channel margin contribution, and the trade-off between promotional depth and long-term price integrity
• Familiarity with the structural challenges manufacturers face in their pricing and supply relationships with retailers — including power dynamics around MAP enforcement, retailer margin expectations, promotional funding, and the tension between manufacturer pricing intent and retailer execution
• Experience working in an advisory or consulting capacity, comfortable with fast-moving, agile product environments and early-stage pilots with significant ambiguity
• Bonus: experience with AI-driven pricing tools, revenue management platforms, or working alongside data science teams on pricing model validation and experimentation design
• Ability to work hybrid (2–3 times a week from office) in Kentucky