AI Product Manager

What You'll Do

• Own AI Product Strategy
  • Define and execute the roadmap for AI-powered products across customer engagement, dealership operations, and workflow automation.
  • Identify high-impact opportunities where AI agents can replace repetitive workflows and enhance customer experiences.

Build AI-Native Experiences

• Design conversational experiences using LLMs, multimodal AI, and autonomous AI agents.
• Drive the development of AI copilots, voice agents, recommendation engines, and workflow automation solutions.

Collaborate Across Engineering & AI

• Work closely with AI Engineers, ML Researchers, Data Scientists, Designers, and Engineering teams to translate business problems into scalable AI products.
• Define product requirements for prompt engineering, context management, memory, tool calling, RAG pipelines, and agent orchestration.

Lead Product Discovery

• Work directly with customers, dealerships, Customer Success, and Sales teams to uncover opportunities and validate AI solutions.
• Rapidly prototype, experiment, and iterate using user feedback and data.

Drive AI Product Adoption

• Define product success metrics around task completion, response quality, automation rate, latency, hallucination reduction, customer satisfaction, and business impact.
• Continuously improve AI performance through experimentation, evaluation frameworks, and customer insights.

Stay Ahead of AI Innovation

• Monitor advancements across LLMs, AI infrastructure, reasoning models, open-source ecosystems, and agent frameworks.
• Evaluate emerging technologies and identify opportunities to integrate them into Spyne's product ecosystem.

What We're Looking For

• 3–6 years of Product Management experience building SaaS, AI, or data-driven products.
• Strong understanding of Generative AI, LLMs, Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, and evaluation frameworks.
• Experience building products using APIs from OpenAI, Anthropic, Google Gemini, or open-source LLMs.
• Ability to work closely with AI/ML engineers and understand concepts such as embeddings, vector databases, context windows, model evaluation, and agent orchestration.
• Strong analytical skills with experience defining product metrics and running experiments.
• Excellent communication and stakeholder management skills with the ability to simplify complex AI concepts.
• Comfortable operating in fast-paced startup environments with high ownership and ambiguity.

• 3–6 years of Product Management experience building SaaS, AI, or data-driven products.
• Strong understanding of Generative AI, LLMs, Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, and evaluation frameworks.
• Experience building products using APIs from OpenAI, Anthropic, Google Gemini, or open-source LLMs.
• Ability to work closely with AI/ML engineers and understand concepts such as embeddings, vector databases, context windows, model evaluation, and agent orchestration.
• Strong analytical skills with experience defining product metrics and running experiments.
• Excellent communication and stakeholder management skills with the ability to simplify complex AI concepts.
• Comfortable operating in fast-paced startup environments with high ownership and ambiguity.

Nice to Have

• Experience building voice AI, conversational AI, copilots, or workflow automation products.
• Familiarity with tools like LangGraph, LangChain, MCP, CrewAI, AutoGen, LlamaIndex, or similar agent frameworks.
• Exposure to Figma, Jira, SQL, analytics platforms, and AI evaluation tools.
• Previous experience in Automotive, CRM, Enterprise SaaS, or Marketplace products.