Product Manager; AI & LLM Job Freehold area,New Jersey USA,IT/Tech

Position: Product Manager (AI & LLM)

Spyne is revolutionizing automotive retail with Generative AI—and we’re moving at lightning speed. We started with a simple but powerful idea:
Use AI to help dealers sell cars online faster. Today, we’re building the world’s first AI-powered automotive retail ecosystem, transforming how 350K+ dealers market and sell vehicles across the Globe.

5X revenue growth in 15 months—now gunning for 3-4X more this year
Launched industry-first AI Image & 360° solutions
Expanding aggressively in the US & Europe
Next up? A full GenAI Automotive Retail Suite

Role Overview

We’re seeking an AI Product Manager with strong customer facing skills in the New Jersey area to lead product strategy and execution for AI-powered applications—built on LLMs, multimodal AI, and intelligent agents. You’ll sit at the intersection of customers and technology, working closely with US automotive dealers to shape product roadmaps while collaborating with our India engineering & AI teams to bring these to life.

This role is ideal for someone excited by GenAI, LLMs, prompt engineering, and applied AI use cases—who can own both what we build and how we take it to market.

Job Responsibilities

Craft a clear, ambitious roadmap for LLM-powered applications and AI agents, keeping user needs, market trends, and technical possibilities in focus.

Explore innovative applications of LLMs, such as contextual chatbots, decision-support systems, creative content generators, and automation tools.

Collaborate with data scientists and AI engineers to evaluate, fine-tune, and deploy cutting-edge LLMs for real-world use cases.

Stay updated on advancements in LLM capabilities, such as multi-turn dialogue, reinforcement learning, in-context learning, and fine-tuning techniques.

Define how AI agents integrate with customer workflows, ensuring seamless interaction between humans and AI.

Guide the creation of agents capable of handling tasks like scheduling, responding to emails, summarizing documents, extracting insights from data, and automating repetitive processes.

Deeply understand user pain points and translate them into impactful AI-driven solutions.

Drive adoption by ensuring user-friendly interfaces, explainable AI outputs, and smooth handoffs between human users and AI agents.

Cross-functional collaboration:

Work with Engineering, Data Science, and Design teams to prototype, test, and deploy LLM-based features at scale.

Collaborate with Sales and Customer Success teams to position AI-powered capabilities as a key differentiator.

Define and track AI adoption KPIs, and continuously optimize models using metrics like token efficiency, fine-tuned accuracy, and user engagement analytics.

Core Skills & Knowledge 1. AI Platforms & APIs (Awareness of the ecosystem)

Leading LLMs:
OpenAI (GPT), Anthropic (Claude), Google Gemini, Meta LLaMA, Mistral
Agentic AI Frameworks:
Lang Chain, AutoGPT, CrewAI, Semantic Kernel
Retrieval & Knowledge:
Pinecone, Weaviate, FAISS, vector databases

2. AI Product Building Blocks (Practical PM fluency)

Fine-tuning & customization of models
Retrieval-Augmented Generation (RAG)
Human-in-the-loop workflows & escalation

3. AI Ops & Deployment (Conceptual awareness, not coding)

Monitoring & evaluation:
Weights & Biases, Arize, Humanloop

4. Product & GTM Mindset

Translate dealer needs → AI features that drive ROI
Position AI features in GTM with Sales & CS
Define and track AI adoption KPIs
Run fast pilots & experiments, measure, iterate

5. Soft Skills

Customer obsession & empathy
Clear storytelling: simplify AI for business users
Bias for action in fast-moving, ambiguous environments

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