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Director of Product Management - AI

Job in Mountain View, Santa Clara County, California, 94035, USA
Listing for: CommerceIQ Inc
Full Time position
Listed on 2026-10-08
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 203000 - 229000 USD Yearly USD 203000.00 229000.00 YEAR
Job Description & How to Apply Below

Mountain View, California, United States

The Company

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

10 of Top 12

900+

Retailers Connected

$200M+

Customers include Coca-Cola, Nestlé, Colgate-Palmolive, Mondelez, Samsung, and Kellogg's. Backed by Soft Bank, 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.
  • 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., Lang Chain, 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…
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