Director of Product Management

The core responsibilities for the job include the following:
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 and 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 and Co-Creation:
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.
Use Case Library and 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
Requirements:
8-12 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., 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.

Experience
8-12 yrs