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Subject Matter Expert — Consumer Appliances Pricing & Retail Revenue Management

Job in Bowling Green, Warren County, Kentucky, 42103, USA
Listing for: Fetcherr
Full Time position
Listed on 2026-07-15
Job specializations:
  • Retail
    Retail Sales, Merchandising
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass‑box architecture, it uses market data - not personal data - with full transparency into logic and outcomes.

First deployed in global aviation, the technology is industry‑agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, West Jet, Viva, and Azul.

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
Requirements
  • 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…
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