Company Overview
CommerceIQs AI-powered digital commerce platform is revolutionizing the way brands sell online. Our unified ecommerce management solutions empower brands to make smarter, faster decisions through insights that optimize the digital shelf, increase retail media ROI and fuel incremental sales across the worlds largest marketplaces. With a global network of more than 900 retailers, our end-to-end platform helps 2,200+ of the worlds leading brands streamline marketing, supply chain, and sales operations to profitably grow market share in more than 50 countries. 10 out of the top 12 CPG brands work with us, including Coca-Cola, Nestle, Colgate-Palmolive, and Mondelez. Weve raised over $200M from some of the top investors including SoftBank, Insight Partners, and Madrona. Learn more at commerceiq.ai.
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.
Were seeking a curious, hands-on, and customer-obsessed Director Product Manager with an AI focus to join our incubation team. Youll be at the intersection of cutting-edge LLM technologies and real-world retail execution problems, helping conceptualise, prototype, test, and scale agent-based solutions across our customer base.
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
CommerceIQs 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.
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:
5-10 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.
Willingness to travel up to 40% for customer immersion and pilots.
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.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law.
