Product Analyst – AI Innovation

Technical Proficiency:

• Drive Product Vision & Strategy: o Develop and execute a product roadmap that positions our platform as an industry leader by integrating advanced AI solutions. o Define product strategy, prioritizing features that enhance UX/UI, automate processes, and boost operational efficiency
• Lifecycle Management: o Oversee the entire product lifecycle—from ideation and market research to design, development, launch, and post-launch analysis. o Analyze user feedback and market trends to continuously iterate and improve product offerings.
• AI Tools and Frameworks : Proficiency in the latest AI tools and frameworks related to Generative AI and Agentic AI, including but not limited to: o Generative AI: Experience with models like GPT-4o and frameworks such as Llama. Index. o Agentic AI: Familiarity with frameworks like n8n, Microsoft Auto. Gen, and Lang. Graph. o AI-Driven UX/UI Design Tools: Hands-on experience with AI-powered design tools to enhance user experience, such as Uizard, Figma with AI Integration and others. o Coding Proficiency: Ability to write, understand, and debug code with the aid of AI tools, including GitHub Copilot, Cursor, V0,etc
• Automation & Process Improvement: Proficiency in automation tools and techniques to streamline workflows and improve product functionality.
• Frameworks & Methodologies: Familiarity with modern product management and development frameworks, including Agile Methodologies, Design Thinking, Data-Driven Decision-Making.
• Strategic Vision & Collaboration: o Ability to think strategically and collaborate cross-functionally to translate AI innovations into practical, user-centric product features. o Strong communication skills to align stakeholders and drive product vision Required Qualifications: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (Master’s degree preferred). Experience: 2+ years in product analysis, product management, or a similar role within a SaaS environment; with demonstrated exposure to AI-driven product initiatives. Technical Skills:
• Proficient in using AI-driven design and analysis tools such as Figma, Cursor, and similar platforms.
• Strong coding skills with the ability to write, understand, and debug code; experience in Python, R, or comparable languages.
• Solid understanding of data analytics, machine learning concepts, and AI applications. Methodologies: Familiarity with Agile development methodologies and product lifecycle management