Senior Technical Product Engineer/Manager

Openkrill; United States; Remote; USD 170,000 - 200,000; Full time

Benefits offered by this job

Equity

Health coverage

Job summary

Openkrill is seeking an experienced product leader to own the direction and delivery of an AI-powered platform for temperature-sensitive logistics and quality workflows. You will work with engineering, design, data science, and ML teams to transform complex regulatory needs into practical software used for faster, better-informed decisions.

You will own roadmaps for core capabilities and AI agents, conduct customer discovery in pharmaceutical logistics, and define outcomes to drive measurable

Qualifications

• 5+ years of non-internship product management or product engineering experience, including 2+ years building AI/ML-powered B2B SaaS products.
• Working knowledge of LLMs, AI agents, and retrieval-augmented generation, with the ability to collaborate with ML 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; Cold-chain/GxP is a plus.

Responsibilities

• Own roadmaps for core product capabilities and AI agents, prioritizing work based on customer needs and business impact.
• Shape agent features with clear reasoning, user-boundaries, and auditable action records.
• Conduct product discovery with customers in pharmaceutical logistics, quality, and supply chain operations.
• Translate complex workflows into clear requirements and collaborate with engineering, design, data science, and ML teams to ship features.
• Define and track measurable outcomes like automated decisions, time saved, and faster releases.
• Iterate on AI capabilities grounded in customer data and operational knowledge.

Skills

Product management

AI/ML product experience

Roadmap ownership

Customer discovery

Cross-functional collaboration

Tools

Python

Node.js

React

PostgreSQL

Supabase

Azure Kubernetes

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 to 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.