### **Key Responsibilities:**
- **Product Strategy:** Define, develop, and execute the product strategy and roadmap for Webmetric, ensuring alignment with company goals and customer needs.
- **Market Research:** Conduct thorough market research to identify trends, customer pain points, and competitive opportunities to inform product decisions.
- **Customer Focus:** Engage with customers and stakeholders to gather insights and feedback, translating them into actionable product features and improvements.
- **Product Development:** Work closely with cross-functional teams including engineering, design, and marketing to deliver high-quality products on time and within scope.
- **Data-Driven Decision Making:** Use data analytics to measure product performance, drive product decisions, and optimize features for better user experience and business outcomes.
- **Agile Management:** Lead the product through agile development cycles, including planning sprints, managing backlogs, and prioritizing features.
- **Stakeholder Communication:** Regularly communicate product vision, progress, and changes to stakeholders, including executive leadership, customers, and cross-functional teams.
- **Product Launches:** Manage the end-to-end process of product launches, including go-to-market strategy, training, and post-launch analysis.
- **Continuous Improvement:** Monitor product performance, user feedback, and industry trends to continuously improve the product.
### **Qualifications:**
- **Education:**
- Bachelor’s degree in Business, Computer Science, Engineering, or a related field.
- Master’s degree (MBA or equivalent) is preferred but not mandatory.
- **Experience:**
- 3-5+ years of experience in product management, preferably within the digital marketing, analytics, or SaaS industries.
- Proven track record of managing all aspects of a successful product throughout its lifecycle.
- Experience working in an Agile/Scrum environment.
- **Technical Skills:**
- Strong understanding of web analytics, digital marketing, and related technologies.
- Experience with product management tools such as JIRA, Confluence, Trello, or equivalent.
- Familiarity with data analytics platforms like Google Analytics, Mixpanel, or similar.
- Basic understanding of UX/UI principles and practices.
- **Soft Skills:**
- Excellent communication skills, both verbal and written, with the ability to convey complex concepts to technical and non-technical stakeholders.
- Strong leadership and project management skills, with the ability to influence and drive cross-functional teams.
- Customer-centric mindset with a passion for delivering outstanding user experiences.
- Problem-solving abilities with a strategic and analytical mindset.
- Highly organized and able to manage multiple projects simultaneously.
### **Preferred Qualifications:**
- Experience in the digital marketing or web analytics industry.
- Familiarity with SEO, PPC, and other online marketing strategies.
- Knowledge of user journey mapping and customer segmentation.
- Understanding of machine learning or AI-based product features.
### **Tools and Technologies:**
- Familiarity with web analytics tools (e.g., Google Analytics, SEMrush, Ahrefs).
- Experience with project management tools (e.g., Asana, Monday.com).
- Knowledge of data visualization tools (e.g., Tableau, Power BI).
- Basic understanding of web development technologies (e.g., HTML, CSS, JavaScript).
### **Location & Work Environment:**
- Ability to work in a fast-paced, dynamic environment.
- [Optional] Flexibility for remote work.
### **Personal Attributes:**
- **Innovative:** Constantly seeks out new ideas and approaches to enhance product offerings.
- **Resilient:** Able to adapt to changing priorities and manage uncertainty with poise.
- **Collaborative:** Works effectively with diverse teams and stakeholders to achieve common goals.
- **Detail-Oriented:** Focuses on quality and thoroughness in every aspect of product development.
وب متریک (WebMetric) یک شرکت دانش بنیان معتبر در زمینه تحلیل داده و آنالیز رفتار مشتریان است. این شرکت در حوزه داده کلان (Big Data) و تحلیل داده (Data Science) مبتنی بر تکنولوژی های یادگیری ماشین (Machine Learning) و هوش مصنوعی (Artificial Intelligence) فعالیت می نماید.