Join a product team building software for temperature-sensitive logistics and regulated supply chains. You will guide core product modules and AI-powered agents that help logistics, quality, and operations teams make timely, evidence-based decisions.
Own product roadmaps for core modules and a growing set of AI agents.
Define clear boundaries for agent recommendations, delegated actions, reasoning, and audit logs.
Work with customers in pharma logistics, quality, and supply chain operations to turn complex workflows into practical software.
Collaborate with engineering, design, data science, and machine learning teams to deliver AI features grounded in product data and knowledge.
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 2 or more years building AI or ML-powered B2B SaaS products.
Working fluency with LLMs, AI agents, and retrieval-augmented generation, with the judgment to apply them where they provide real value.
Experience owning roadmaps, translating customer needs into software requirements, and collaborating across product, engineering, design, data science, and ML.
Experience defining and tracking concrete product outcomes or KPIs, as well as customer-facing product discovery with pharma logistics, quality, or supply chain users.
Familiarity with Python, Node.js, React, PostgreSQL, and cloud infrastructure is useful. Cold chain, pharma logistics, or GxP-regulated product experience is a plus.
Must already be authorized to work in the United States.
Base salary is $170,000 to $200,000 annually, with equity and health benefits. Visa sponsorship is not available.
Remote within the United States.
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