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CommerceIQ

SaaS platform for Amazon e-commerce optimization

Director of Product Management

Product ManagementConfirmed live in the last 24 hours
Full-timeMountain View, CA, USA

About the Job

Requirements

  • 6–12 years of experience in product management or equivalent roles, such as AI prototyping, machine-learning product management, or solutions engineering with a product-management mindset.
  • Demonstrated interest in artificial intelligence, including large language models, retrieval-augmented generation, evaluations, prompt engineering, or fine-tuning.
  • Hands-on experience with prototyping tools or notebooks such as LangChain, Streamlit, or Python; an engineering background is not required, but technical mindset and aptitude are required.
  • Strong product intuition and ability to simplify complex systems into compelling user experiences.
  • Experience leading customer conversations, running discovery interviews, and testing early concepts.
  • Comfort with ambiguity, high ownership, and fast-paced zero-to-one environments.
  • Willingness to travel up to 40% for customer immersion and pilots.
  • Bachelor's degree, preferably in Business, Computer Science, or a related field.

Responsibilities

  • Identify and validate customer pain points suitable for agent-based automation.
  • Own the AI-first product strategy by leveraging large language models, fine-tuning, retrieval-augmented generation, and tool use to create intelligent workflows.
  • Design and evaluate product concepts involving agentic behavior, personalization, and embedded intelligence.
  • Create and test AI-driven prototypes, hands-on or with support from forward-deployed engineers.
  • Drive rapid iteration using real customer feedback, evaluation metrics, and qualitative insights.
  • Build a repeatable framework to test and prioritize use cases and agent behaviors.
  • Lead deep-dive discovery sessions with senior retail and e-commerce stakeholders.
  • Translate ambiguous customer workflows into structured agent-enabled solutions.
  • Evangelize concepts early and build conviction with pilot partners.
  • 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.
  • Collaborate closely with Applied AI, Forward Deployed Engineering, Design, and go-to-market teams.
  • Operate as a mini-CEO of assigned use cases, from exploration through launch and customer adoption.

Desired Qualifications

  • Background in retail, e-commerce, or software as a service for enterprise workflows.
  • Experience building agent-based systems, copilots, or AI assistants.
  • Prior startup or incubation team experience.

About the Company

CommerceIQ

SaaS platform for Amazon e-commerce optimization

CommerceIQ provides a SaaS platform for Amazon sales, advertising, and operations that connects data from multiple sources into a single source of truth. It ingests data and uses automated workflows and predictive analytics to optimize inventory, digital shelves, and ad performance. Its focus on Amazon, strong data integration, and automation enable faster, more reliable execution than broader e-commerce tools, often complemented by managed services. The goal is to help brands and retailers grow market share and profitability in e-commerce by improving visibility, advertising efficiency, and inventory health.

Company size
51-200
Company stage
Series D
Total funding
$195.5M
Headquarters
Mountain View, CA
Founded
2012

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