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 leading secondary market dealer of high-end luxury watches, specializing in Patek Philippe, Audemars Piguet, Richard Mille, and Rolex. Our goal is to become the #1 most competitive and trusted luxury watch marketplace, ensuring that buyers always find the best-priced, most sought-after timepieces with us. To achieve this, we need a Pricing Automation Engineer to develop a system that scrapes competitor pricing, analyzes trends, and dynamically updates our listings to give us an edge in the market. If you have Python web scraping expertise, experience with e-commerce pricing automation, and a passion for luxury watches, this is a high-impact opportunity to build game-changing technology in a multi-billion-dollar industry.
What You'll Do
Build Automated Price Scrapers
- Develop web scrapers to monitor competitor watch prices from sites like Chrono24, eBay, etc.
- Ensure data collection is accurate, fast, and runs on an automated schedule.
- Store and structure pricing data in a scalable database (PostgreSQL, MySQL, AWS, etc.).
Develop a Rule-Based Pricing Engine
- Create a pricing logic system that automatically adjusts our listings based on competitor data.
- Example rules:
- ○ If Competitor A lists a Rolex Daytona for $80,000, price ours at $79,950.
- ○ If Competitor B drops price by 5%, auto-adjust our price accordingly.
- ○ If a watch hasn't sold in 30 days, automatically discount it by 2%.
- Work with leadership to optimize pricing rules for maximum profitability while staying competitive.
Automate Pricing Updates on Our Website
- Build an API connection or database integration that updates product listings dynamically.
- Ensure real-time updates so that our pricing is always accurate and competitive.
- Develop a dashboard that alerts the sales team when pricing changes are needed.
Market Intelligence & Trend Analysis
- Collect historical pricing data to help identify trends in luxury watch values.
- Work with leadership to analyze competitor pricing strategies and refine our approach.
What You Bring to the Table
- 3+ years experience in Python development, with a focus on web scraping, automation, and data handling
- Proficiency in web scraping tools like BeautifulSoup, Scrapy, Selenium for extracting data from dynamic sites.
- Experience with databases (PostgreSQL, MySQL, AWS, or similar) to store and manage pricing data.
- API development & integration skills to connect scraped data with our website's backend.
- Experience in e-commerce, pricing automation, or secondary marketplaces is strongly preferred.
- Familiarity with luxury goods, high-end watches, or collectible resale markets is a big plus.
- Understanding of the secondary luxury watch market (Chrono24, WatchBox, Sotheby's, etc.) is highly preferred.
- Bonus: Knowledge of SEO & structured data for product listings (to enhance online visibility).
- Bonus: Passion for luxury watches, high-ticket resale, or collectibles markets
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.
Remote
or
Hybrid
(NYC
Preferred)