Product Analyst – AI Innovation
Posted Updated
Description
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 LlamaIndex.
o Agentic AI: Familiarity with frameworks like n8n, Microsoft AutoGen, and LangGraph.
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