Product Manager (LLMs & AI)

We are seeking a dynamic Product Manager to lead the development of applications powered by Large Language Models (LLMs) and AI agents! This role will focus on harnessing the power of LLMs (e.g., OpenAI s GPT, Claude, or similar models) to build advanced, context-aware conversational agents and task automation systems. You will work on defining and delivering AI solutions that transform user experiences, streamline processes, and unlock new business opportunities for Automotive dealers and buyers. This role is pivotal in defining Spyne s product strategy, translating user needs into AI-driven solutions, and working closely with cross-functional teams to deliver innovative products that redefine the user experience.

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: Explore cutting-edge applications like chatbots, decision-support systems, and automation tools.
• Research & Experimentation: Collaborate with engineers and data scientists to fine-tune and deploy LLMs for real-world use cases.
• AI Advancements: Stay updated on evolving capabilities such as multi-turn dialogue, in-context learning, and fine-tuning techniques.
• 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.
• Seamless AI-Human Interaction: Ensure smooth AI adoption by refining user interfaces and interactions.
• Cross-Functional Collaboration: Work closely with Engineering, Data Science, and Design teams to prototype and scale LLM-based features.
• AI Market Positioning: Collaborate 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?

• 1 - 3 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 .