Senior Product Manager - Support, BackOffice and Safety & Security

About the role

Snapp is hiring a Senior Product Manager in Tehran to own individual product verticals and lead cross-functional teams through the full product lifecycle, from discovery to delivery. The role also drives the strategic integration of AI across product development, improving customer experience, operational efficiency and safety.

Key responsibilities

• Create and maintain roadmaps for Support, BackOffice and Safety & Security, aligned with company objectives
• Lead, coach and align the product managers of the three verticals, helping them set priorities and trade-offs
• Build strong relationships with PR, Legal, Call Center, Operations, Engineering, Design, Data and other stakeholders
• Lead product discovery for customer and operational problems, using research, feedback, data and AI tools
• Integrate AI into discovery and delivery workflows, such as research synthesis, analysis, prototyping and iteration
• Identify and develop AI-powered solutions, including support automation and customer or operational experiences
• Define product goals and success measures with stakeholders, review results and adjust roadmaps
• Coordinate dependencies and rollout readiness, including operational processes, stakeholder communications and post-launch feedback

Required profile

• More than 5 years of product management experience, owning products from discovery through launch and ongoing improvement
• Experience setting strategy and roadmaps across multiple product areas and leading or developing other product managers
• Experience with senior and operational stakeholders, ideally including PR, Legal, Call Center and Operations
• Experience in customer support, BackOffice platforms or Safety & Security, especially ride safety and protecting user PII, strongly preferred
• Advantageous: experience in a high-volume marketplace, mobility or another operationally complex consumer product

Required skills

• Customer discovery, problem-framing and prioritization
• Defining meaningful metrics and interpreting qualitative and quantitative evidence
• Practical experience using AI tools in product discovery and delivery
• Clear written and verbal communication, explaining product decisions, trade-offs and risks