Why This Job is Featured on The SaaS Jobs
This Director of Product Management role stands out because it sits inside an incubation effort building an AI agent platform for retail workflows, a pattern increasingly central to modern SaaS differentiation. Rather than incremental feature delivery, the focus is on defining and validating agentic use cases, then translating them into deployable product experiences across an enterprise customer base. The emphasis on LLM approaches such as RAG, fine tuning, and evaluation reflects the shift toward AI native SaaS where product decisions are tightly coupled to model behavior and real world task completion.
For a SaaS product leader, the career value is in learning how to run the full loop from discovery to adoption when the underlying technology is probabilistic and rapidly evolving. The work requires building repeatable frameworks for experimentation, success metrics, and prioritization, all of which transfer well to other AI enabled SaaS domains. Regular customer immersion also develops durable skills in workflow mapping, value articulation, and designing for measurable outcomes.
This role fits product managers who prefer hands on prototyping, structured experimentation, and direct engagement with senior customer stakeholders. It is well matched to professionals comfortable operating with ambiguity and owning a problem space end to end, especially those aiming to deepen technical product fluency without moving into a pure engineering track.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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 Product Manager 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 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 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.
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.
