Director of Product Management - AI
Confirmed live in the last 24 hours
CommerceIQ
Job Description
CommerceIQ is building the AI platform that runs commerce for the world's largest brands. We are not selling AI demos. We are shipping AI agents for content, media, and sales into the workflows of the Fortune 100 every week.
|
2,200+
Customers
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10 of Top 12
CPG Companies
|
900+
Retailers Connected
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$200M+
Raised
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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. This is 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. A note that 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.
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.
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