We are looking for:
- Product Manager AI / Computer Vision
- Product Manager Data Adoption & Monetization
The Product Manager AI Project role involves defining product vision and strategy for AI-driven retail solutions, conducting market and user research, managing product requirements and project lifecycles, collaborating with AI/ML teams, and leading cross-functional efforts to optimize product performance and stakeholder communication. Candidates should have a relevant bachelor's degree, product management experience in retail AI or computer vision, strong analytical skills, familiarity with AI/ML development, and excellent communication and leadership abilities.
Key Responsibilities:
1. Product Strategy & Roadmap
- Define and communicate a compelling product vision, strategy, and roadmap for our AI-driven solutions, aligning with overall company objectives and market opportunities.
2. User Research
- Conduct in-depth market research, competitive analysis, and user interviews to identify pain points, unmet needs, and emerging trends in retail AI/computer vision.
3. Requirements Gathering & Prioritization
- Translate customer and business needs into detailed product requirements (user stories, use cases, specifications) for AI models, software features, and hardware integrations. Prioritize the product backlog based on business value, technical feasibility, and customer impact.
4. Project Management and Planning
- Oversee the end-to-end project lifecycle for product initiatives, including defining scope, setting timelines, managing resources, and tracking progress to ensure on-time and on-budget delivery.
5. Basic AI Model
- Understanding & Collaboration: Work closely with AI/ML engineers and data scientists to understand the capabilities and limitations of various AI models (e.g., object detection, pose estimation, anomaly detection). Guide the development and improvement of these models based on product requirements.
6. Cross-Functional Leadership
- Serve as the product expert and primary liaison between engineering, data science, design, sales, marketing, and customer success teams throughout the product lifecycle.
7. End to End Product Strategy
- Collaborate with stakeholders to develop and execute end to end product strategies
8. Performance Monitoring & Optimization
- Define OKRs for product success, monitor product performance, analyze data, identify risk and iterate on features to continuously improve effectiveness and user satisfaction.
9. Stakeholder Communication
- Regularly communicate product updates, progress, and challenges to internal and external stakeholders.
10. Retail Understanding
- Understand key retail concepts such as planogram (visual merchandising), inventory control, and retail operation management.
Qualifications:
1. Bachelor's degree in Computer Science, Engineering, Statistics, Operations Research, Business or a related field. Master's degree in Engineering or Operations Research or MBA is a plus.
2. Proven experience in product management, preferably in the retail domain, AI/ML product, or computer vision.
3. Strong analytical skills with a solid understanding of retail business processes and data analytics.
4. Familiarity with the AI/ML development lifecycle, including data collection, labeling, model training, deployment, and monitoring.
5. Excellent in communication, leadership, negotiation and problem-solving skills.
Good command of English communication is a must.
Job Title: Product Manager - Data Platform
Key Responsibilities:
1.Project Planning and Management:
- Develop and execute project plans, including scope, schedule, resources, and budget, for data-focused projects.
- Define clear project objectives, deliverables, and success criteria in alignment with business goals and technical requirements.
2.Platform Architecture and Technical Oversight:
- Demonstrate working knowledge of data platform components including ingestion pipelines, data transformation layers, data warehousing, and data serving infrastructure to guide technical decision-making and backlog prioritization.
- Collaborate with data engineers to shape platform design, ensure scalability and reliability, and drive the delivery of robust, production-grade data infrastructure aligned with business and architectural standards.
3.Stakeholder Coordination and Communication:
- Serve as the primary liaison between technical teams, business users, and other stakeholders.
- Ensure effective communication and alignment across cross-functional teams, translating business needs into technical solution.
4.Risk, Quality, and Performance Management:
- Identify potential risks and implement mitigation strategies to ensure project success.
- Oversee the quality assurance process, ensuring data accuracy, integrity, and reliability throughout the project lifecycle.
5.Performance Monitoring and Continuous Improvement:
- Monitor project performance using advanced analytics tools and methodologies.
- Provide regular updates to stakeholders on project status and outcomes, and implement lessons learned for continuous improvement.
Qualifications:
- Bachelor's degree in computer science, Information Technology, Data Analytics, or a related field.
- Proven experience in project management, with a strong focus on data engineering and technical projects.
- Solid understanding of data management principles, data governance, and basic programming language (e.g. Python, SQL).
- Proficiency in project management tools (e.g., MS Project, Jira, Asana)
- Excellent communication, technical, and problem-solving skills.
- Experience with cloud platforms (e.g., AWS, Azure) and big data technologies is a plus.
