AI-Powered Product Lead for Pharma Logistics

IllTip

United States

Remote

USD 150,000 - 230,000

Full time

3 days ago
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Job summary

IllTip in the United States is seeking a hands-on Product Lead to shape AI-powered tools for pharma logistics, quality, and supply chain teams. You will own the product roadmap and work closely with engineering and ML teams to deliver practical AI features that enable timely, evidence-based decisions.

You will collaborate with customers and internal teams to convert regulated workflows into intuitive product experiences, combining product ownership with technical development in a fast-growing,

Qualifications

  • 5+ years of non-internship product management or product engineering experience, including 2+ years building AI/ML-powered B2B SaaS products.
  • Hands-on technical background, including React or full-stack web development.
  • Working knowledge of LLMs, AI agents, and retrieval-augmented generation.
  • Experience owning product roadmaps and translating customer needs into requirements.
  • Customer-facing product discovery experience with pharma logistics, quality, or supply chain operations users.

Responsibilities

  • Own the roadmap for core product modules and AI agents.
  • Define how agents present context and recommendations and log actions for auditability.
  • Engage with pharma logistics customers to translate complex workflows into simple product experiences.
  • Partner with engineering, design, data science, and ML teams to deliver AI features grounded in data.
  • Set and track outcomes such as automated decisions, time saved, and faster releases.

Skills

Product management
AI/ML powered B2B SaaS
Roadmap ownership
Customer discovery
Cross-functional collaboration

Tools

React
Node.js
Python
PostgreSQL
Cloud infrastructure

Job description

IllTip in the United States is seeking a hands-on Product Lead to shape AI-powered tools for pharma logistics, quality, and supply chain teams. You will own the product roadmap and work closely with engineering and ML teams to deliver practical AI features that enable timely, evidence-based decisions.

You will collaborate with customers and internal teams to convert regulated workflows into intuitive product experiences, combining product ownership with technical development in a fast-growing,

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