Product Manager, Customer Journey

Deskripsi Pekerjaan

Key Responsibilities

• Strategic Roadmap Ownership: Define and execute the multi-quarter product strategy, balancing customer experience enhancement, business scalability, and technical feasibility.
• Customer Journey Optimization: Leverage deep quantitative data, customer research, and direct feedback to redesign, streamline, and scale intuitive user experiences across web and app ecosystems.
• End-to-End Execution: Partner closely with Engineering, UX/UI Design, and Data Science throughout discovery, solution architecture, delivery, launch, and continuous iteration.
• Data-Driven Decision Making: Establish robust measurement frameworks using experimentation (A/B testing) and product analytics to validate hypotheses and evaluate feature impact.
• Stakeholder & Strategic Alignment: Drive cross-functional alignment across business units, platform teams, and leadership to resolve dependencies and achieve shared organizational KPIs.
• AI & Operational Innovation: Integrate modern AI capabilities into research workflows, rapid prototyping, and product design to accelerate speed-to-market and team efficiency.

Requirements & Qualifications

• Minimum 5+ years of end-to-end product management experience owning a consumer-facing digital product or domain with demonstrated, measurable business and user impact.
• Proven track record of independently structuring vague product problems, making high-stakes trade-offs, and driving clear directional execution in dynamic environments.
• Deep experience mapping, diagnosing, and simplifying complex user journeys and multi-step digital workflows.
• Strong proficiency in product analytics (e.g., Amplitude, Mixpanel, SQL) and quantitative experimentation frameworks.
• Proven ability to partner effectively with Engineering and Design leads, with understanding of technical feasibility, dependencies and trade offs.
• Exceptional written and verbal communication skills, with a track record of building consensus among cross-functional partners and senior executives.
• Hands-on experience integrating AI models/tools into product feature sets or team workflows, backed by critical judgment regarding output quality and constraints.