🕒 yesterday
Own and grow an assigned NGS DNA product portfolio by translating customer and market needs into product strategy, guiding cross-functional development and commercialization, and managing product lifecycle performance.
Technical Product Engineer/Manager
🕒 2 days ago
Product ManagementProduct EngineeringAI/MLB2B SaaS
📜 Description
- Own roadmaps for core product modules and AI agents, translating customer needs into priorities.
- Ship AI features that explain recommendations, respect user-delegated permissions, and record actions for auditability.
- Work with pharmaceutical logistics, quality, and supply chain customers to simplify regulated workflows.
- Partner with engineering, design, data science, and machine learning teams to deliver data-grounded features.
- Define and measure outcomes such as automated decisions, time saved, and faster product releases.
🛠️ Requirements
- 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, and ability to collaborate with machine learning engineers.
- Experience owning roadmaps, translating customer needs into software requirements, and measuring product outcomes.
- 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.
✨ Benefits
- 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.
Full job description
About the Role
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.
What You'll Do
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.
What We're Looking For
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.
Compensation & Benefits
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.
Location
Remote within the United States.
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