Job
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EmploymentFull-time
Work modeRemote / location-flexible
CountryUnited States
Overview
ABOUT THE ROLE
Full job description
ABOUT THE ROLE Own product direction and delivery for an AI-powered platform that helps teams manage temperature-sensitive logistics and quality workflows. You will work closely with engineering, design, data science, and machine learning to turn complex, regulated customer needs into practical software that supports faster, better-informed decisions. WHAT YOU'LL DO
- Own roadmaps for core product capabilities and AI agents, prioritizing work based on customer needs and business impact.
- Shape agent features that provide clear reasoning, act only within user-approved boundaries, and keep auditable records of actions.
- Conduct product discovery with customers in pharmaceutical logistics, quality, and supply chain operations.
- Translate complex workflows into clear requirements and collaborate daily with engineering, design, data science, and machine learning teams to ship features.
- Define and track measurable outcomes, such as automated decisions, time saved, and faster product releases.
- Iterate on AI capabilities grounded in customer data and operational knowledge. 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.
- Working knowledge of 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.
- Customer-facing product discovery experience with pharmaceutical logistics, quality, or supply chain operations users.
- Familiarity with Python, Node.js, React, PostgreSQL, Supabase, and Azure Kubernetes is relevant. Cold-chain, pharmaceutical logistics, or GxP experience is a plus. COMPENSATION & BENEFITS Salary range: $170,000 to $200,000 annually, plus equity and health coverage. Visa sponsorship is not available; candidates must already be authorized to work in the United States. LOCATION Remote within the United States.
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