AI First Ecommerce Finance and Growth Manager (Shenzhen)

Overview

This role is responsible for using finance, data, and AI to drive better ecommerce decisions and profitable growth. The position works closely with the General Manager and cross-functional teams across sourcing, marketing, finance, and operations.

Key focus areas include landed cost modeling, ecommerce profitability analysis, forecasting and capital allocation, automated reporting with financial controls, and decision support for product, pricing, marketing, and inventory.

Responsibilities

Product costing and sourcing decisions

• Calculate true landed costs and SKU-level contribution margin for every material product, bundle, and offer.
• Include supplier pricing, minimum order quantities, packaging, foreign exchange, duties, freight, fulfillment, returns, and payment costs.
• Quantify the impact of changes in suppliers, pricing, bundles, and inventory commitments before decisions are made.

Ecommerce profitability and growth

• Connect Shopify, marketing, affiliate, payment, and fulfillment data to report actual profitability by product, store, offer, and acquisition channel.
• Model customer acquisition cost, break-even return on ad spend, average order value, upsells, customer lifetime value, and payback.
• Where relevant, include recurring membership revenue, churn, cancellations, credits, and rebill margins.
• Identify profitable growth opportunities and flag activity that generates revenue without adequate contribution.

Forecasting and capital allocation

• Build and maintain a rolling 13-week cash forecast.
• Build and maintain a driver-based 12-month revenue, contribution margin, and profit forecast.
• Model base, upside, and downside scenarios using conversion, ad spend, unit economics, inventory, supplier lead times, and retention.
• Compare projections against actuals, explain variances, and recommend where to invest or reduce exposure.

AI-enabled reporting and financial controls

• Create automated, auditable daily and weekly reporting that reconciles sales, refunds, marketing spend, settlements, fulfillment, and finance records.
• Use AI and practical tools (e.g., spreadsheets, SQL, Python, or automation platforms) to reduce manual effort, identify anomalies, and accelerate analysis.
• Verify important AI outputs against source data.
• Ensure reports are accurate, transparent, and usable by business leaders.

Commercial recommendations and accountability

• Deliver a short weekly decision report covering revenue, contribution margin, cash, inventory risk, forecast performance, and the three highest-value actions.
• Partner with the relevant owners to measure whether those actions increased profit and/or improved cash efficiency.

Success Metrics (First 90 Days)

• By day 30: Establish reliable landed cost and contribution margin models and identify material gaps in financial and operational data.
• By day 60: Launch trusted recurring profitability reporting, a working 13-week cash forecast, and a driver-based operating forecast.
• By day 90: Recommend and measure specific actions across product selection, supplier costs, pricing, marketing allocation, and inventory commitments, with quantified profit and cash impact.

Requirements

• At least five years of hands-on commercial finance, financial planning and analysis, or comparable analytical experience.
• At least three years supporting live ecommerce operations.
• Evidence of personally building SKU profitability models, commercial forecasts, and decisions driven by acquisition economics.
• Understanding of China sourcing and the actual cost of selling consumer products into the United States.
• Strong spreadsheet modeling and data reconciliation skills.
• Shopify experience is strongly preferred.
• SQL, Python, Power Query, and comparable tools are valuable.
• Demonstrable AI use in genuine finance or analytics workflows, with appropriate validation and controls.
• Sound commercial judgment and the ability to explain recommendations clearly to nonfinance colleagues.
• Professional English communication and Mandarin capability.
• Must be based in Shenzhen and available for at least four hours of daily overlap with our Vietnam team.

Preferred Qualifications

• Experience directly integrating and analyzing ecommerce and marketing datasets to produce reconciled profitability reporting.

Compensation & Benefits

• Expected monthly compensation in RMB is part of the application process.

Location & Schedule

• Shenzhen, China | Remote | Full Time
• Must be based in Shenzhen and available for at least four hours of daily overlap with the Vietnam team.

Hiring Process

• Submit an English CV, expected monthly compensation in RMB, earliest start date, and two anonymized work examples:
  • One product or channel profitability model
  • One forecast or AI-assisted reporting process
• Shortlisted candidates will complete a paid practical assessment using sample ecommerce data, then recommend what to scale, fix, or stop and quantify the cash implications.