- Type
- Full-time
- Department
- IT
- Seniority
- Entry
- Source
- RecruiterFlow
Description
About ParallelDots
ParallelDots is an AI-powered retail technology company helping global consumer goods brands improve retail execution through computer vision, image recognition, and analytics.
About the Role
We are looking for an Associate Product Manager to work on our mobile applications and new product initiatives. The role involves gathering requirements, improving user experience, managing feature development, and coordinating with engineering and customer-facing teams.
Key Responsibilities
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Manage product features from requirement gathering through development, testing, and release.
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Prepare PRDs, user stories, and acceptance criteria.
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Collaborate with designers and engineers to improve user experience and product workflows.
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Manage Jira backlogs, sprint planning, feature tracking, and release coordination.
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Work with engineering teams to understand development efforts, dependencies, and timelines.
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Interact with enterprise customers to gather requirements and feedback.
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Convert customer-specific requirements into configurable and reusable product features wherever feasible.
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Coordinate with Engineering, QA, Design, and Customer Success teams to ensure timely delivery.
Requirements
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2+ years of Product Management experience, preferably in a SaaS or enterprise software company.
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Good understanding of UX/UI principles and experience working on user-facing products.
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Hands-on experience with Jira, including backlog and sprint management.
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Basic understanding of software development, effort estimation, and Agile methodologies.
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Experience collaborating with engineering teams to deliver product features.
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Strong communication, problem-solving, and stakeholder management skills.
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Attention to detail and ownership of assigned deliverables.
Good to Have
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Experience working on Android or iOS applications.
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Exposure to enterprise customer requirements and configurable SaaS products.
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Familiarity with Figma, APIs, or product analytics tools.
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Experience in retail technology, computer vision, or AI-based products.