Job summary

As a Product Manager at Ebra, you will lead the end-to-end lifecycle of core features on our AI-powered debt collection platform.

Qualifications

• 3–6 years in product management, ideally in fintech, SaaS, or B2B/B2B2C platforms.
• Proven track record shipping products in complex or regulated environments (bonus: AI/ML-powered, debt, finance, or govtech).
• Strong analytical decision-making skills; able to prioritize with incomplete data using frameworks like RICE, impact/effort, or PMF loops.
• Excellent communication across technical and non-technical teams.
• Execution-focused: bias toward speed, clarity, and unblocking teams.

Responsibilities

• Define and evolve product strategy aligned with company OKRs and creditor/debtor needs.
• Own and maintain a living product roadmap with clear priorities, delivery milestones, and performance targets.
• Conduct user research, usability testing, and debt portfolio analysis to deeply understand user behavior (debtors and creditors).
• Validate assumptions using data and insights; consistently represent the voice of both debtors and creditors in product decisions.
• Translate ideas into clear product specs and collaborate with engineering and AI teams to deliver them.
• Drive feature design, iteration, and launch across core modules such as debtor outreach, dispute resolution, dashboard analytics, and payment workflows.
• Work closely with operations, compliance, AI, and client success teams to ensure launch readiness and operational scalability.
• Coordinate go-to-market efforts with sales and marketing when launching new capabilities or sectors.
• Define and track product KPIs (e.g., contact rate, time-to-first-payment, recovery uplift).
• Run experiments, evaluate impact, and iterate based on data and insights.

Skills

• Experience in the Saudi financial or telecom ecosystem.
• Exposure to conversational interfaces (voice/SMS/chat), scoring models, or collections software.

Desired requirements

• Experience in the Saudi financial or telecom ecosystem.
• Exposure to conversational interfaces (voice/SMS/chat), scoring models, or collections software.
  

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