About the Role
Join a Series A logistics technology company building software for temperature-sensitive supply chains. In this hands-on product role, you will shape AI-powered tools that help pharma logistics, quality, and supply chain teams make timely, evidence-based decisions.
What You’ll Do

• Own the roadmap for core product modules and a growing set of AI agents.

• Define how agents present context and recommendations, act only on delegated tasks, and log actions for auditability.

• Meet with customers in pharma logistics, quality, and supply chain operations to turn complex regulated workflows into simple product experiences.

• Work closely with engineering, design, data science, and machine learning teams to deliver AI features grounded in product data and knowledge layers.

• Set and measure outcomes such as automated decisions, time saved, and faster product releases.

What We’re Looking For

• At least 5 years of non-internship product management or product engineering experience, including 2 or more years building AI/ML-powered B2B SaaS products.

• Hands-on technical experience, with React or full-stack web development experience; mobile-only development does not meet this requirement.

• Working fluency with LLMs, AI agents, and retrieval-augmented generation, and the ability to collaborate effectively with ML engineers.

• Experience owning product roadmaps, translating customer needs into software requirements, working across disciplines, and measuring product outcomes.

• Customer-facing product discovery experience with pharma logistics, quality, or supply chain operations users.

• Cold chain, pharma logistics, or GxP-regulated product experience is an asset.

• Experience with Python, Node.js, React, PostgreSQL, and cloud-based application infrastructure is relevant to the product environment.

• Existing authorization to work in the United States is required.

Compensation & Benefits
Base salary: $170,000 to $200,000 annually, plus equity. Visa sponsorship is not available.
Location
Remote within the United States.

About the Role
Join a Series A logistics technology company building software for temperature-sensitive supply chains. In this hands-on product role, you will shape AI-powered tools that help pharma logistics, quality, and supply chain teams make timely, evidence-based decisions.
What You’ll Do

• Own the roadmap for core product modules and a growing set of AI agents.

• Define how agents present context and recommendations, act only on delegated tasks, and log actions for auditability.

• Meet with customers in pharma logistics, quality, and supply chain operations to turn complex regulated workflows into simple product experiences.

• Work closely with engineering, design, data science, and machine learning teams to deliver AI features grounded in product data and knowledge layers.

• Set and measure outcomes such as automated decisions, time saved, and faster product releases.

What We’re Looking For

• At least 5 years of non-internship product management or product engineering experience, including 2 or more years building AI/ML-powered B2B SaaS products.

• Hands-on technical experience, with React or full-stack web development experience; mobile-only development does not meet this requirement.

• Working fluency with LLMs, AI agents, and retrieval-augmented generation, and the ability to collaborate effectively with ML engineers.

• Experience owning product roadmaps, translating customer needs into software requirements, working across disciplines, and measuring product outcomes.

• Customer-facing product discovery experience with pharma logistics, quality, or supply chain operations users.

• Cold chain, pharma logistics, or GxP-regulated product experience is an asset.

• Experience with Python, Node.js, React, PostgreSQL, and cloud-based application infrastructure is relevant to the product environment.

• Existing authorization to work in the United States is required.

Compensation & Benefits
Base salary: $170,000 to $200,000 annually, plus equity. Visa sponsorship is not available.
Location
Remote within the United States.