AI Product Manager

About SpyneAt Spyne, we are transforming how cars are marketed and sold with cutting-edge Generative AI. What started as a bold idea—using AI-powered visuals to help auto dealers sell faster online—has now evolved into a full-fledged, AI-first automotive retail ecosystem.Backed by $16M in Series A funding from Accel, Vertex Ventures, and other top investors, we're scaling at breakneck speed:Launched industry-first AI-powered Image, Video & 360° solutions for Automotive dealersLaunching Gen AI powered Automotive Retail Suite to power Inventory, Marketing, CRM for dealersOnboarded 1500+ dealers across US, EU and other key markets in the past 2 years of launchGearing up to onboard 10K+ dealers across global market of 200K+ dealers150+ members team with near equal split on R&D and GTMLearn more about our products:Spyne AI Products - StudioAI, RetailAI.Series A Announcement - CNBC-TV18, Yourstory

We're looking for a dynamic Product Manager to lead the development of applications powered by Large Language Models (LLMs) and AI agents! This role is at the heart of our strategy to create cutting-edge conversational agents, automation systems, and AI-driven solutions for automotive dealers and buyers.

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.

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.