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Product Manager POS | 5 to 7 yrs | REMOTE | SOW 2523 - PradeepIT Consulting Services Pvt Ltd | Career Page
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Product Manager POS | 5 to 7 yrs | REMOTE | SOW 2523
Bengaluru, KA, India
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Job Openings Product Manager POS | 5 to 7 yrs | REMOTE | SOW 2523
About the job Product Manager POS | 5 to 7 yrs | REMOTE | SOW 2523
Job Title: Product Manager POS
Experience: 5 to 7 Years
Relevant Experience: 1 to 3 Years
Job/Work type: Its Hybrid (3 days a week), REMOTE is also fine.
Location: Bangalore / Hyderabad / Pune / Coimbatore
Time Zone: In IST 12:00 pm to 9:00 pm
Project Name: Movado
Client: Bosch
End Client: from Middle East
Job Description:
Roles and Responsibilities:
- Work closely with the product and business teams to define the product roadmap.
- Support in requirements gathering by documenting discussions and decisions, and turning these into actionable user stories and acceptance criteria.
- Break down larger goals and strategies into smaller, actionable items
- Work with the wider product team to prioritize and refine the teams backlog.
- Collaborate with engineering teams and external vendors to ensure accurate and on-time delivery of new features.
- Operate within our agile development model, delivering features iteratively.
- Create documentation and how-to guides for business users as new features are delivered.
- Participate in ad hoc testing/UAT and document any issues found.
- Use data available to evaluate the success of new features and ongoing product performance, and identify optimization opportunities.
- Keep up with trends in customer needs, competitive offerings, and technology advancements.
- Bring relevant emerging trends to the team.
Qualifications and Requirements:
- Bachelor's degree or higher
- 1-3 years of professional work experience in a relevant field.
- Experience in retail POS or ecommerce environments preferred.
- Excellent interpersonal, communication and presentation skills.
- Strong problem-solving skills.
- Strong analytical capabilities - experience defining metrics, measuring performance, and using data to inform decision-making.
- Knowledge of Salesforce and/or PredictSpring preferred but not essential.
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