
Senior Product Manager, Perception & World Understanding Skills
Posted Sep 17

Posted Sep 17
This is a fully remote position, open to applicants in California, +2 more states.
• Lead the strategy and development of product capabilities related to Digit's perception and learned functionalities.
• Take ownership of the roadmap for perception and world understanding capabilities.
• Convert customer workflows and application needs into specifications for perception, scene comprehension, object recognition, learned behaviors, adaptation, motion planning, and AI-powered robotic abilities.
• Establish product-level metrics and evaluation standards, encompassing accuracy, robustness, generalization, latency, failure behavior, and operational efficiency.
• Oversee the transition of capabilities from research or prototype phases to validation, productization, and eventual production rollout.
• Transform product capability requirements into specifications for models, datasets, training systems, tools, and infrastructure.
• Determine when capabilities should progress from specific task implementations to reusable models and behaviors.
• Collaborate with teams in robotics, perception, machine learning, autonomy, simulation, systems engineering, and field operations.
• Create representative evaluation environments, test scenarios, datasets, and benchmarks.
• Coordinate roadmap dependencies across task skills, robotic software, hardware, simulation, infrastructure, customer applications, and deployment systems.
• Influence Agility’s long-term strategy for robotic intelligence.
• Articulate product priorities, technical trade-offs, capability maturity, and roadmap decisions to engineering leaders, executives, commercial teams, and stakeholders.
• A Bachelor’s degree in Robotics, Computer Science, Artificial Intelligence, Engineering, or a related technical discipline.
• 5+ years of experience in Product Management or equivalent product leadership roles in robotics, autonomous systems, AI/ML, computer vision, or other highly technical product domains.
• A solid understanding of machine learning, perception, robotics, autonomous systems, or related technical fields.
• Proven ability to collaborate effectively with highly technical engineering and research teams.
• Experience in transforming vague customer or product issues into quantifiable technical capability requirements.
• Strong comprehension of the differences between technology performance and readiness for production products.
• Background in defining metrics, benchmarks, or evaluation frameworks for intricate technical products.
• Capability to assess technical trade-offs and convey their implications for products to both technical and non-technical stakeholders.
• Ability to operate across various teams and influence without direct authority.
• Strong strategic thinking coupled with a readiness to engage thoroughly in product execution.
• Exceptional written and verbal communication skills.
• Experience with computer vision, foundation models, reinforcement learning, imitation learning, learned policies, or multimodal AI systems.
• Familiarity with manipulation or mobile robotics.
• Experience in taking machine learning or robotics capabilities from research to production deployment.
• Knowledge of simulation, synthetic data, evaluation infrastructure, or large-scale robotics datasets.
• Experience in developing products that function reliably amidst significant real-world variability.
• Background in warehouses, logistics, manufacturing, or other industrial settings.
• Experience with humanoid robots or mobile manipulation systems.
• An advanced degree in Robotics, Computer Science, Machine Learning, Artificial Intelligence, or a related field is preferred.
• 401(k) Plan with a 6% company match.
• Company stock options.
• 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
• Benefits eligibility starting on the first day of employment.
• Employee Assistance Program (EAP).
• Flexible, unlimited PTO and 12 company holidays, including a winter shutdown, for exempt employees.
• 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually, for non-exempt employees.
• Catered lunches four times a week and healthy snacks and refreshments available at Salem and Pittsburgh locations.
• Generous paid parental leave programs.
• Flexible work arrangements.
• Opportunities for professional development and tuition reimbursement programs.
• Relocation assistance for eligible positions.
• Annual discretionary bonus for eligible roles.
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