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Product Lead - Pricing

OSL
Department:Data Analysis
Type:REMOTE
Region:Australia
Location:Australia
Experience:Director
Estimated Salary:A$120,000 - A$180,000
Skills:
SQLPYTHONPRICINGPRODUCT MANAGEMENTDATA ANALYSISA/B TESTING
👁️ Views: 25🚀️ Applied: 1
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Job Description

Posted on: June 11, 2026

Why this role exists

At Banxa and OSL Pay, pricing isn't a static table—it’s a live product feature. Because we compete side-by-side with other providers in crypto wallets, our win rate is directly tied to our ability to adjust prices in real-time.

We are moving away from manual strategy and toward an automated, algorithmic pricing engine. We need a hands-on Product Manager to own the logic, the data loops, and the engineering roadmap that allows us to out-maneuver competitors instantly.

We are flexible in terms of where you will be based - Singapore, Hong Kong, Shanghai, Australia.

What you’ll do (The "Hands-On" Remit)

  • Build the Engine: Own the product roadmap for our dynamic pricing systems. You aren't just suggesting prices; you are defining the logic that executes them.
  • Algorithmic Logic: Design and iterate on models similar to surge-pricing or yield management to balance conversion vs. margin.
  • Competitor Intelligence: Work with Engineering to build automated monitoring tools that ingest competitor rates to trigger real-time adjustments.
  • Operational Ownership: Move pricing from "one-off decisions" to a repeatable, automated capability. You will define the parameters and thresholds the system lives by.
  • Experimentation: Run high-cadence A/B tests on fee structures and spreads, using SQL and Python to validate impact on transaction volume.

Who you are

You are a Product Manager or Technical IC who has sat at the intersection of Engineering and Economics. You likely come from a "Surge," "Yield," or "Marketplace Dynamics" team.

  • 5+ Years Experience: Specifically in Product Management or Pricing Engineering within high-frequency environments (Ride-hailing, Food Delivery, Travel OTA, or E-commerce).
  • The "Builder" Mindset: You’ve built or heavily optimized a pricing backend. You understand how an algorithm is implemented in production code, even if you aren't the one writing the final PR.
  • Data Native: You are dangerous with SQL and Python. You don’t wait for a BI report; you query the data yourself to find price elasticity.
  • Relevant Pedigree: Experience at firms like Grab, Gojek, Traveloka, Skyscanner, AirAsia, or Foodpanda is highly valued.

What Success Looks Like

  • From Manual to Automated: Pricing moves from spreadsheets to a self-optimizing system.
  • Win Rate Growth: A measurable increase in "Top Choice" appearances in partner wallets.
  • Technical Scalability: The pricing logic can handle new assets, regions, and payment methods without adding manual headcount.
Originally posted on LinkedIn

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👁️ Views: 25🚀️ Applied: 1
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