<div class="content-intro"><p>Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.</p></div><h2><span style="font-size: 12pt;"><strong>About Us</strong></span></h2> <p><span style="font-size: 10pt;">Agility Robotics is a pioneer. Our humanoid robot, Digit, is the first to be sold into workplaces across the globe. Our team is differentiated by its expertise in imagining, engineering, and delivering robots with advanced mobility, dexterity, intelligence, and efficiency -- robots specifically designed to work alongside people, in spaces built for people.</span></p> <p><span style="font-size: 10pt;">Every day, we break through engineering challenges and invent new solutions and capabilities that will one day make humanoid robots commonplace and approachable. This work is our passion and our responsibility: our mission is to make businesses more productive, and people’s lives more fulfilling.</span></p> <h2><span style="font-size: 12pt;"><strong>About The Role</strong></span></h2> <p><span style="font-size: 10pt;">Agility Robotics is looking for a Senior Product Manager to lead product strategy and development for Digit's perception and learned capabilities.</span></p> <p><span style="font-size: 10pt;">This is a highly technical product role at the intersection of robotics, artificial intelligence, perception, and real-world autonomous behavior. You will be responsible for defining what Digit must understand about its environment, how world understanding should improve the robot's ability to perform useful work, and how those capabilities are evaluated and matured for production use.</span></p> <p><span style="font-size: 10pt;">You will partner closely with perception, machine learning, robotics, autonomy, simulation, and software engineering teams while working across the broader Product organisation to translate customer and application needs into scalable robot intelligence capabilities.</span></p> <p><span style="font-size: 10pt;">The role requires the ability to bridge emerging AI and robotics technologies with real product outcomes. You will help determine which capabilities should be developed, what level of performance is required, how progress should be measured, and when a capability is ready to become part of the production product.</span></p> <h2><span style="font-size: 12pt;"><strong>Key Responsibilities</strong></span></h2> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Own the perception and world understanding capabilities roadmap:</strong> Define the product strategy, priorities, and roadmap for perception-enabled and learned robot capabilities required to support Digit's expanding application portfolio.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Define capability outcomes:</strong> Translate customer workflows and application requirements into clear requirements for perception, scene understanding, object understanding, learned behaviors, adaptation, motion planning and other AI-enabled robot capabilities.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Establish performance metrics:</strong> Define product-level metrics and evaluation criteria for perception and learned capabilities, including accuracy, robustness, generalization, latency, failure behavior, and operational performance.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Drive capability maturity:</strong> Establish expectations for progressing capabilities from research or prototype stages through validation, productization, and production deployment.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Bridge AI technology and product needs:</strong> Partner with AI Models & Tools Product and Engineering teams to translate product capability needs into requirements for underlying models, datasets, training systems, tooling, and infrastructure.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Drive generalisation:</strong> Identify when capabilities should move beyond narrow task-specific implementations toward reusable models and behaviors that work across objects, environments, customers, and applications.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Partner deeply with technical teams:</strong> Work closely with robotics, perception, machine learning, autonomy, simulation, and systems engineering teams to make product and technical trade-offs and ensure technical investments align with meaningful product outcomes.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Define evaluation strategy:</strong> Partner with Simulation, Systems, Engineering, and field teams to establish representative evaluation environments, test scenarios, datasets, and benchmarks for robot capability performance.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Manage cross-product dependencies:</strong> Coordinate requirements and roadmap depende