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Director, Subject Matter Expert — Consumer Appliances Pricing & Retail Revenue Management

Job in Town of Poland, Jamestown, Chautauqua County, New York, 14701, USA
Listing for: Fetcherr
Full Time position
Listed on 2026-08-14
Job specializations:
  • Retail
    Retail Sales, Merchandising
Salary/Wage Range or Industry Benchmark: 170000 - 230000 USD Yearly USD 170000.00 230000.00 YEAR
Job Description & How to Apply Below
Location: Town of Poland

Director, Subject Matter Expert — Consumer Appliances Pricing & Retail Revenue Management

  • Product
  • Louisville, KY
  • Full-time
Description

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…
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