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Own roadmaps for product modules and AI agents, translating customer needs into priorities and delivering AI features with explainable recommendations, delegated permissions, and auditable actions. Collaborate with customers and engineering, design, data science, and machine learning teams to improve regulated workflows and measure outcomes such as automation, time saved, and release speed.
Join a product team building AI-powered software for temperature-controlled logistics and regulated supply chains. This hands-on role combines technical product work with product management, helping teams make timely, evidence-based decisions about sensitive shipments.
Own the roadmap for core product modules and AI agents, turning customer needs into clear priorities.
Ship AI features that explain recommendations, act only within user-delegated permissions, and record actions for auditability.
Work directly with customers in pharmaceutical logistics, quality, and supply chain operations to simplify regulated workflows.
Partner day to day with engineering, design, data science, and machine learning teams to deliver features grounded in product data.
Define and measure outcomes such as automated decisions, time saved, and faster product releases.
At least 5 years of non-internship product management or product engineering experience, including at least 2 years building AI/ML-powered B2B SaaS products.
Hands-on technical experience, including React or full-stack development.
Working fluency with LLMs, AI agents, and retrieval-augmented generation, with the ability to collaborate effectively with machine learning engineers.
Experience owning roadmaps, translating customer needs into software requirements, and measuring product outcomes.
Strong cross-functional collaboration and customer-facing product discovery experience with pharma logistics, quality, or supply chain operations users.
Cold chain, pharmaceutical logistics, or GxP-regulated product experience is beneficial.
Base salary is $170,000 to $200,000 annually, with equity. Visa sponsorship is not available; existing authorization to work in the United States is required.
Remote within the United States.
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