Staff Product Manager, Vision

Role Overview

Staff Product Manager, Vision - an experienced PM role focused on owning a suite of integrated, intelligent solutions for operators, fleets, and partners. This is a 0-to-1 product development opportunity requiring technical depth, bold innovation, and customer-centric thinking in a fast-paced, rapidly growing environment.

Key Responsibilities

• Product Development: Develop new AI products solving operational challenges across diverse verticals (waste services, construction, field services), driving product lines from conception to market launch
• Lifecycle Ownership: Own the entire product lifecycle—define long-term vision, strategy, and roadmap
• Market Research: Conduct deep market and customer surveys to identify high-value, unmet operational needs uniquely solvable by Motive's AI capabilities
• Requirements Definition: Define clear, actionable product requirements for AI models, edge hardware integration, and software features; manage trade-offs with Engineering and AI teams
• Go-to-Market: Lead GTM strategy in partnership with Sales, Marketing, and Customer Success; develop positioning, pricing, and enablement materials
• Customer Engagement: Act as primary voice of the customer and market; deeply engage with early adopters to validate prototypes, gather feedback, and ensure product-market fit
• Cross-Functional Leadership: Cultivate high-performing, collaborative team environment across Engineering, AI R&D, Design, and Operations; motivate and influence without direct authority
• Metrics & Analytics: Define and track key product and business metrics (model precision, recall, adoption rate, revenue) to measure success and inform investment decisions

Requirements

• 7+ years of Product Management experience
• Customer Empathy: Strong desire to understand and advocate for customer needs
• Emotional Intelligence: Even-keeled, flexible, and able to adapt quickly to unexpected change
• Track Record: Proven experience delivering commercially successful software products
• Data-Driven: Regularly seek out and use hard data and metrics to support assumptions and decisions
• Communication: Comfortable and confident sharing thoughts verbally and in writing; able to engage constructively in debate

Nice-to-Haves

• Experience with AI/ML product development
• Background in physical operations, logistics, or fleet management
• Experience launching products in regulated industries