SaaS Product Manager

Job Description

We re looking for a visionary SaaS Product Manager to lead the evolution of our AI-driven retail and supply chain SaaS platform. You ll work closely with cross-functional teams to align customer needs, technology advancements, and business strategy into a cohesive product roadmap. This role is hands-on, collaborative, and strategic perfect for a tech-savvy leader who thrives in fast-paced environments. Experience: 5+ years Required Tech Skills Responsible for end-to-end product lifecycle: discovery, planning, prioritization, execution, delivery, and post-launch optimization. Conduct in-depth system and user requirement studies to translate them into scalable product solutions. Lead sprint planning, backlog grooming, release management, and cross-functional team coordination. Collaborate with design, development, QA, and DevOps to ensure seamless delivery across Web, Mobile, and Cloud platforms. Define product KPIs and use data to drive iterative improvement and user satisfaction. Maintain product documentation, release notes, and roadmaps. Support customer-facing teams with product knowledge and ensure high satisfaction and adoption. Mentor and upskill the team on agile product development, best practices, and modern SaaS architecture. Keep the team aligned with business goals while maintaining a culture of innovation and ownership. Must-Have Skills Experience Proven experience as a Product Manager or Project Lead in SaaS or tech product companies. Strong grasp of modern tech stacks especially Python, Node.js, Flutter, Azure, MongoDB, and AI-based systems. Ability to interpret customer insights and turn them into actionable product features. A good eye for UI/UX design, with the ability to guide intuitive, consistent, and user-friendly workflows across web and mobile platforms. Skilled in agile project management, sprint planning, Jira (or similar tools), and CI/CD practices. Comfortable managing product roadmaps, budgeting, and prioritizing for value delivery. Strong analytical and troubleshooting skills; able to dive deep into data and technology decisions. Ability to lead and mentor multidisciplinary teams with empathy and clarity. Excellent written, visual, and verbal communication for cross-team collaboration.