Technical Product Owner 2
GranicusFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
All candidates must be located in the greater metropolitan area of Seattle, WA.
Candidates need 12+ years of experience in software product management or a related technical role, 12+ years building and shipping technical products, experience with agentic AI systems for customization or adaptive experiences, and experience with mobile app development on Android or iOS.
This information is not specified in the job description.
This is a fast-paced startup environment where contributions have direct impact on the company's direction and success, and you must thrive amid ambiguity or competing priorities; it's a high visibility, high impact role interacting with all levels of leadership.
A strong candidate has a Bachelor of Science in Computer Science or equivalent, excellent communication skills to articulate technical and business concepts, experience managing large-scale technical products with a track record of developing visions and strategies, and strong analytical and problem-solving abilities with a passion for innovation.
Optimizes charging infrastructure for electric vehicle fleets
Stable Auto optimizes the charging infrastructure for electric vehicle (EV) fleets, catering to logistics companies, public transportation agencies, and corporate fleets transitioning to electric vehicles. The company provides advanced software and consulting services that utilize machine learning and operations research to help clients identify the best locations for charging stations, determine optimal charging times, and minimize both capital and operational expenditures. By simulating real-world fleet behaviors, Stable Auto delivers actionable insights that enhance performance and reduce costs. Their revenue model includes subscription fees for their software platform and consulting fees for tailored advisory services. The team consists of experts in machine learning, operations, and energy, enabling them to offer practical solutions that improve fleet management.