The Company
CommerceIQ is building the AI platform that runs commerce for the world's largest brands, shipping AI agents for content, media, and sales into the workflows of the Fortune 100 every week. Customers include Coca-Cola, Nestlé, Colgate-Palmolive, Mondelez, Samsung, and Kellogg's. Backed by SoftBank, Insight Partners, and Madrona. Headquartered in Mountain View with teams across the US, India, Canada, and the UK. Pre-IPO.
The Role
CommerceIQ is pioneering a new frontier in retail tech by building the Retailer Copilot with Agents, a next-generation AI platform to empower retail teams with intelligent, autonomous workflows. We’re seeking a curious, hands-on, and customer-obsessed Director of Product Management with an AI focus to join our incubation team. You’ll be at the intersection of cutting-edge LLM technologies and real-world retail execution problems, helping conceptualize, prototype, test, and scale agent-based solutions across our customer base. This is an individual contributor role.
If you thrive in zero-to-one environments, love working at the bleeding edge of AI, and enjoy sitting down with customers to dig into their workflows and co-create the future, this role is for you.
Why Join Us
- Be part of CommerceIQ’s newest frontier, shaping the AI agent ecosystem for retail.
- Work directly with visionary leaders and founding engineers.
- Build products with real impact that are tested and deployed with Fortune 500 brands.
- Get full exposure to AI, product, customer, and GTM strategy.
Location / Travel
This is an onsite role based out of our Mountain View, CA headquarters. You will be expected to work onsite 5 days per week if hired. Willingness to travel up to 40% for customer immersion and pilots.
What You'll Do
AI-Native Product Thinking
- Identify and validate customer pain points that are ripe for agent-based automation.
- Own the AI-first product strategy: leverage LLMs, fine-tuning, RAG, and tool use to craft intelligent workflows.
- Design and evaluate product concepts with agentic behavior, personalization, and embedded intelligence.
Rapid Prototyping & Testing
- Create and test AI-driven prototypes, either hands-on or with the support of forward-deployed engineers.
- Drive quick iteration cycles using real customer feedback, eval metrics, and qualitative insights.
- Build a repeatable framework to test and prioritize use cases and agent behaviors.
Customer Discovery & Co-Creation
- Lead deep-dive discovery sessions with senior retail & e-commerce stakeholders.
- Translate ambiguous customer workflows into structured agent-enabled solutions.
- Evangelize concepts early and build conviction with pilot partners.
Use Case Library & Playbooks
- Develop a structured, living library of agent use cases across functions and retailers.
- Create internal playbooks and blueprints for agent design, AI evaluation, and success criteria.
Cross-Functional Execution
- Collaborate closely with Applied AI, Forward Deployed Engineering, Design, and GTM teams.
- Operate as a mini-CEO of your use cases, from exploration to launch and customer adoption.
What You'll Bring
- 6-12 years of experience in product management or equivalent roles (AI prototyping, ML PM, solutions engineer with PM mindset).
- Demonstrated interest in AI: LLMs, RAG, evals, prompt engineering, fine-tuning, etc.
- Hands-on experience with prototyping tools or notebooks (e.g., LangChain, Streamlit, Python, etc.). By no means do you have to be an engineer, but you must have a technical mindset and associated aptitude.
- Strong product intuition and ability to simplify complex systems into compelling UX.
- Experience leading customer conversations, running discovery interviews, and testing early concepts.
- Comfortable with ambiguity, high ownership, and fast-paced 0 to 1 environments.
- Bachelor's degree, preferably in Business, Computer Science, or a related field.
Nice to Haves
- Background in retail, e-commerce, or SaaS for enterprise workflows.
- Experience building agent-based systems, copilots, or AI assistants.
- Prior startup or incubation team experience.