Subject Matter Expert — Consumer Appliances Pricing & Retail Revenue Manage at Fetcherr

, Kentucky, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Sep, 26

Salary

0.0

Posted On

18 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Promotional Pricing Strategy, Retail Revenue Management, Demand Forecasting, Pricing Optimization, MAP/pMAP Dynamics, SKU-level Demand Analysis, Channel Mix Strategy, DTC Pricing, Marketplace Pricing, Data Strategy, Gap Analysis, Competitive Price Monitoring, Revenue Management, Retailer Negotiation, Product Requirement Definition, Model Validation

Industry

Software Development

Description

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 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 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

Responsibilities

Act as a strategic advisor to product and engineering teams to develop an AI-driven pricing solution for consumer appliances. Guide the development of pricing models, validate assumptions, and define data requirements specific to the retail environment.