We work cross-functionally, and you will partner daily with AI/ML engineers, software engineers, designers, vendors, and stakeholders to build impactful, intelligent software products. We believe in going deep on user research and data analysis to decide where we should go next with our products, we believe in delivering iterative features quickly and continuously improving our products and processes, and we are a strong design and product-led organization. We love talking to and working with our users every day to enable them to do their best work.
Minimum Qualifications
8+ years of industry experience on software product teams (Product, Design, or Engineering), including at least 5+ years specifically in Product Management.
Exceptional written and oral communication skills in English.
User-Centric mindset, and the demonstrated ability to define and build intentional product processes that are shared cross-functionally.
Demonstrated ability to craft and effectively communicate a product vision, strategy, and roadmap, and the ability to inspire the product team to execute upon these artifacts.
Demonstrated use of user research, usability studies, analytics and data to drive business decisions and prioritize, as well as the ability to distill this work quickly into impactful decisions that move the team and product forward.
Demonstrated ability to work closely with AI/ML engineers, software engineers, and designers, engage in thoughtful and respectful debate, and prioritize among competing needs.
Preferred Qualifications
Familiarity using AI tools for rapid prototyping, including building or integrating autonomous code generation, secure code execution environments (sandboxes), and AI-driven software engineering workflows.
Familiar with Machine Learning, Deep Learning, and Generative AI, and understand how to match real-world problems with the right technologies.
Familiar with manufacturing processes, consumer product design, and mechanical engineering.
Prior experience integrating AI systems into legacy enterprise systems, hardware manufacturing, supply chain, or industrial engineering data environments.