As a Product Manager at Ebra, you will lead the end-to-end lifecycle of core features on our AI-powered debt collection platform. Your mandate is to work with designers to build and iterate recovery solutions that are efficient for creditors and fair for consumers. You will collaborate closely with engineering, operations, AI/ML, and business teams to replace manual, fragmented processes with intelligent, compliant, and user-centered experiences.

Requirements

Key Responsibilities

Product Strategy & Road mapping

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

Customer Discovery & Insights

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

Execution & Delivery

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

Cross-Functional Leadership

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

Measurement & Optimization

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

Experience

Required Qualifications and Skills

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

Nice to Have:

Experience in the Saudi financial or telecom ecosystem

Exposure to conversational interfaces (voice/SMS/chat), scoring models, or collections software

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