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Product Manager Lead

Uride
Full-time
On-site
Unknown

About the role: As Product Manager Lead at Uride, you’ll drive the strategic direction of our product ecosystem. Reporting directly to the VP of Technology, you’ll oversee end-to-end product delivery, aligning vision, design, and execution to solve real-world problems for underserved communities. This role is ideal for a hands-on leader with deep product intuition, technical fluency, and a passion for impact-driven innovation. What you'll do: Own the product roadmap and prioritise initiatives aligned with business goals, user needs, and technical feasibility. Lead cross-functional squads including engineering, design, marketing, and operations to ship impactful products. Collaborate with stakeholders to define clear product requirements and success metrics. Drive product discovery through user research, data analysis, and market insights. Translate complex problems into simple, scalable solutions with measurable outcomes. Champion iterative development, continuous improvement, and agile best practices. Mentor and guide other Product Managers, fostering a culture of ownership and collaboration. Qualifications: 7+ years of product management experience with at least 2 years in a lead or senior capacity. Proven track record of launching successful digital products in fast-paced environments. Strong technical understanding, with the ability to work closely with engineering teams (e.g., API design, system constraints). Excellent communication skills with the ability to align diverse stakeholders around a common vision. Experience with agile methodologies, backlog grooming, and sprint planning. Data-driven mindset with proficiency in product analytics tools (e.g., Mixpanel, Amplitude, GA). Nice to Have: Background in ridesharing, logistics, marketplace, or platform-based businesses Familiarity with remote team dynamics and asynchronous workflows. Experience scaling products for international markets. Knowledge of UX principles and working directly with design teams Exposure to AI/ML-enabled features or data products Familiarity with tools like Jira, Figma, Mixpanel, Notion, or similar Background in UX research, data science, or technical product development

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