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Product Manager

Job in Riyadh, Riyadh Region, Saudi Arabia
Listing for: Tarmeez Capital | ترميز المالية
Full Time position
Listed on 2026-07-16
Job specializations:
  • Business
    AI Business & Operations
  • IT/Tech
    AI Business & Operations, FinTech
Salary/Wage Range or Industry Benchmark: 300000 - 540000 SAR Yearly SAR 300000.00 540000.00 YEAR
Job Description & How to Apply Below

Role Overview

We are seeking a high-caliber, high-agency Senior Product Manager to lead the next evolution of our Fin Tech ecosystem, a Product Manager who understands the delicate balance of regulatory compliance, financial architecture, and cutting-edge technology.

The ideal candidate has a proven track record in Fin Tech and is already experimenting with how AI tools, AI Agents, and Generative AI can optimize the user journey or internal operations.

Key Responsibilities
  • Product Strategy &

    Roadmap:

    Own the end-to-end lifecycle of complex Fin Tech products, from discovery to post-launch optimization.
  • Fin Tech Excellence:
    Navigate complex financial workflows (e.g., lending, payments, supply chain finance, or wealth management) while ensuring seamless UX.
  • Stakeholder Management:
    Act as the bridge between Engineering, Compliance, Legal, and Business teams to ensure products are both innovative and compliant.
  • Data-Driven Discovery:
    Use quantitative and qualitative data to validate hypotheses and measure the success of product iterations.
  • AI Integration:
    Identify and implement opportunities to leverage AI agents and tools to automate manual financial processes or enhance personalization. This is a plus.
Candidate Requirements
  • 5+ Years of PM

    Experience:

    A solid foundation in product management, specifically within the SaaS or financial services space.
  • Deep Fin Tech Domain Knowledge:
    Familiarity with the mechanics of the financial industry (API integrations, ledger systems, risk scoring, or regulatory frameworks).
  • The "AI Edge" (Strong Plus):
    Demonstrated experience or a strong portfolio of use cases where you have adopted emerging AI tools (e.g., OpenAI API, Claude...etc) to solve product problems.
  • Technical Fluency:
    Ability to engage in deep technical discussions with engineers about system architecture and data privacy.
  • Execution Power: A "builder" mindset with a history of taking a product from 0 to 1 or scaling a product from 1 to 10.
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