Product Manager

What will you do

• Product Strategy & Vision – Define and execute the roadmap for LLM-powered applications and AI agents, aligning with market trends and user needs.
• AI Innovation – Drive cutting-edge applications like chatbots, decision-support systems, and task automation.
• Research & Experimentation – Collaborate with engineers and data scientists to fine-tune and deploy LLMs for real-world use cases.
• AI Agent Development – Build context-aware AI agents that integrate seamlessly into user workflows.
• Automation Solutions – Develop AI-driven tools for automating tasks like email responses, scheduling, and data extraction.
• User Experience & Adoption – Convert user pain points into intuitive, AI-driven solutions with explainable outputs.
• Cross-Functional Collaboration – Work with Engineering, Data Science, and Design teams to prototype and scale LLM-based features.
• AI Market Positioning – Partner with Sales and Customer Success teams to position AI capabilities as a key differentiator.
• Performance Metrics – Define and track KPIs such as accuracy, response time, and user engagement.
• Continuous Optimization – Enhance AI model efficiency and user satisfaction through iterative improvements.

What you must have

• 3-4 years of product management experience in AI, SaaS, or data-driven products.
• Proven experience building or scaling LLM-powered applications (GPT, Claude, etc.).
• Strong familiarity with fine-tuning, prompt engineering, context management, and model evaluation.
• Ability to communicate AI concepts to non-technical stakeholders.
• Hands-on experience with Figma, Jira, and LLM APIs (OpenAI, Anthropic, Hugging Face).
• Data-driven mindset with a strong grasp of AI product metrics.
• Thrives in fast-paced, ambiguous environments.