Pricing and Sourcing Automation EngineerWrist Aficionado • New York, NY, United States

Pricing and Sourcing Automation Engineer

Wrist Aficionado • New York, NY, United States

[job_card.30_days_ago]

[job_preview.job_type]

[job_card.full_time]

[job_card.job_description]

Location : Remote or Hybrid (NYC Preferred)

Compensation : $90K - $150K (Competitive Salary + Performance Bonus)

Experience Level : Mid to Senior (3-6+ years)

About Us

We are a top-tier secondary market dealer of ultra-luxury watches, including Patek Philippe, Audemars Piguet, Richard Mille, and Rolex. Our mission is to build the most efficient and trusted luxury watch marketplace — one that gives buyers the best-priced, hardest-to-find timepieces, and gives our internal team best-in-class tools to move fast and close deals. To achieve this, we’re hiring a Pricing & Sourcing Automation Engineer to build high-leverage internal tools - starting with a marketplace scraping engine and a real-time message parsing system that fuels quoting, pricing, and acquisition decisions. If you’re a strong Python developer with experience in web scraping, automation, and real-time data processing - and you’re excited about solving high-value problems in a luxury space - this role is for you.

What You’ll Do

Build a Marketplace Pricing Intelligence Engine

Scrape floor prices across marketplaces like Chrono24 and eBay
Filter listings by year, condition, seller trust score, and region
Track price trends per SKU over time
Detect price deltas and surface buying or repricing opportunities
Apply business rules to calculate our ideal list price and margin

Develop a Messaging-Based Listing Parser

Parse product listings shared via real-time messaging platforms (e.g., WhatsApp Web)

Extract structured data : reference numbers, years, conditions, prices, and currencies

Normalize shorthand formats like “42k usd” or “€38,000”

Organize results into a searchable, filterable internal tool

Help salespeople quote faster and buyers source smarter

Ship Lightweight Internal Dashboards

Build simple UIs for internal team use (Streamlit, Flask, or React)

Enable filtering by ref number, price, condition, seller, etc.

Optional : add Slack / email alerts for specific triggers (e.g., watch under $X appears)

Contribute to Data Strategy & Automation Roadmap

Work closely with business leadership to define what data matters

Suggest ways to improve sourcing, pricing, quoting speed, and margin using automation

Optionally contribute to future tools like predictive pricing or SEO-driven listing generators

What You Bring to the Table

3+ years experience in Python development, especially web scraping, data parsing, and automation

Strong skills with pandas, re, Playwright, Selenium, or similar scraping tools

Ability to clean and normalize messy real-world data (especially pricing / currency formats)

Experience building simple dashboards for internal users (Streamlit, Flask, React, or similar)

Comfortable turning unstructured inputs (chat logs, shorthand listings) into clean, searchable outputs

Clear logic and decision-making : able to implement rule-based business filters

Bonus : Experience parsing data from messaging platforms like WhatsApp Web, Slack, Telegram

Bonus : Experience in e-commerce, marketplaces, or quoting tools

Bonus : Familiarity with luxury watches or the luxury goods space as a whole

Why Join Us?

High-impact role where your work directly drives revenue and sales.

Competitive salary, performance bonuses, and potential equity opportunities.

Work with a team disrupting the $20B+ secondary luxury watch market.

Opportunity to grow into a senior engineering or leadership role.

Access to the world’s most exclusive watches and high-net-worth clientele.

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