Technical Program Manager (Robotics)

Location: Remote in the USA, British Columbia, Montreal, or Toronto

Salary: $150,000–$187,000 per year, plus equity

Company

hirify.global develops sidewalk delivery robots that support commercial deliveries and help reduce congestion in cities.

What you will do

• Define scope, timelines, milestones, resource allocation, and risk mitigation for hardware and software projects.
• Coordinate mechanical, electrical, embedded, systems, manufacturing, software, product, operations, and business stakeholders.
• Gather requirements, align priorities, communicate project status, and maintain cross-functional alignment.
• Develop and improve workflows, project processes, sprints, and prioritization practices.
• Identify technical roadblocks and drive continuous improvement across robot upgrades, product development, and feature delivery.
• Create technical specifications, roadmaps, project plans, and status reports.

Requirements

• Bachelor’s degree in mechanical, electrical, mechatronics, or another equivalent engineering discipline.
• 3–5 years of experience in engineering program management or technical program management.
• 3–5 years of experience with hardware, systems, or autonomous systems development processes.
• Experience managing complex cross-functional projects and shipping product features in a production environment.
• Ability to explain technical concepts to technical and non-technical stakeholders and communicate clearly with different audiences.
• Experience building strong working relationships with senior leaders and engineers across functions.

Nice to have

• Master’s degree in mechanical, electrical, or another equivalent engineering discipline.
• Experience in robotics and autonomous systems, particularly products operating in public spaces.
• Experience with products involving policy or regulatory considerations.

Culture & Benefits

• Full-time remote work in the listed USA and Canadian locations.
• Equity offered as part of total compensation.
• Collaborative, agile, and diverse working environment.
• Opportunity to contribute to robotics, machine learning, computer vision, hardware, and software products.