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
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Own the roadmap for core product modules and a growing set of AI agents.
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Define how agents present context and recommendations, act only on delegated tasks, and log actions for auditability.
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Meet with customers in pharma logistics, quality, and supply chain operations to turn complex regulated workflows into simple product experiences.
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Work closely with engineering, design, data science, and machine learning teams to deliver AI features grounded in product data and knowledge layers.
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Set and measure outcomes such as automated decisions, time saved, and faster product releases.
What We're Looking For
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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.
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Hands-on technical experience, with React or full-stack web development experience; mobile-only development does not meet this requirement.
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Working fluency with LLMs, AI agents, and retrieval-augmented generation, and the ability to collaborate effectively with ML engineers.
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Experience owning product roadmaps, translating customer needs into software requirements, working across disciplines, and measuring product outcomes.
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Customer-facing product discovery experience with pharma logistics, quality, or supply chain operations users.
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Cold chain, pharma logistics, or GxP-regulated product experience is an asset.
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Experience with Python, Node.js, React, PostgreSQL, and cloud-based application infrastructure is relevant to the product environment.
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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.
Originally posted on Himalayas
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