Member of Technical Staff - Technical Program Manager, Frontier AI & Robotics

Amazon; Reading (MA); On-site; USD 120,000 - 150,000; Full time

Job summary

Amazon is looking for a Member of Technical Staff - Technical Program Manager in Reading, Massachusetts. This role focuses on driving cross-functional programs in robotics and AI, enabling robots to operate effectively in warehouse settings.

The ideal candidate will have experience in program management, robotics development, and a solid understanding of AI methodologies. Responsibilities include managing execution timelines, facilitating trade-off decisions, and ensuring alignment across various teams.

Qualifications

• 5+ years of technical program or product management experience leading complex programs.
• 3+ years managing programs in software engineering or robotics development.
• Ability to manage programs across multiple technical disciplines.

Responsibilities

• Drive program management mechanisms for robotics and AI initiatives.
• Manage end-to-end program execution across AI models, software, and hardware.
• Facilitate discussions for conflicting priorities and decision-making.

Skills

Technical program management

Robotics

Software engineering

AI/ML

Stakeholder management

Education

Bachelor's degree in Engineering or Computer Science

Tools

Agile Frameworks

Job description

Member of Technical Staff - Technical Program Manager, Frontier AI & Robotics

Job ID: 10426106 | Amazon.com Services LLC

Join Amazon's Frontier AI & Robotics team as a Member of Technical Staff. This Technical Program Manager will drive breakthrough robotics innovation by orchestrating complex, cross‑functional programs that bridge AI research, software, hardware, and production deployment. You will manage the technical workstreams that enable robots to see, reason, and act in Amazon's warehouse environments, accelerating our mission to build the next generation of embodied intelligence.

Key Job Responsibilities

• Establish and drive program management mechanisms and cadence for complex robotics and AI development initiatives spanning research, software engineering, hardware, and operations.
• Manage end‑to‑end program execution across the full robotics stack—including AI models, software engineering, and hardware deployment.
• Drive decision‑making velocity by facilitating trade‑off discussions when there are conflicting priorities; determine whether decisions are one‑way or two‑way doors.
• Own program‑level risk management, proactively identifying technical, schedule, and resource risks; elevate where necessary and drive mitigation strategies.
• Manage dependencies and scope changes across internal teams and partner organizations, ensuring alignment on commitments, timelines, and technical requirements.
• Create transparency through clear RACI frameworks, program dashboards, and communication mechanisms that keep stakeholders aligned on status, risks, and decisions.
• Exercise strong technical judgment to influence program‑level decisions on deployment methodology, scalability requirements, and technical feasibility—acting as the voice back to research and engineering teams.
• Build sustainable program management processes that scale as our organization grows, adapting agile frameworks to the unique challenges of AI robotics.

A Day in the Life

Your focus centers on driving velocity and alignment across our robotics programs. You might start your morning facilitating trade‑off decisions between AI researchers and software engineers on a critical prototype milestone, then transition to managing dependencies across hardware and operations teams to keep timelines on track. In the afternoon, you could be conducting risk assessments on supply‑chain constraints that impact our development roadmap, updating program dashboards to provide leadership visibility, or working with partner teams to align on deployment strategies.

You will establish the mechanisms and cadence that keep our fast‑moving organization synchronized—from sprint planning rituals to cross‑functional design reviews. Throughout the day, you balance hands‑on program execution with strategic escalation, ensuring technical decisions align with our long‑term vision while removing obstacles that slow teams down. You are the connective tissue that enables researchers, engineers, and operations specialists to move fast together.

About the Team

At Frontier AI & Robotics, we are reimagining robotics from the ground up. Our team builds the future of intelligent robotics through frontier foundation models and end‑to‑end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real‑world scenarios.

What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's computational infrastructure and rich real‑world datasets to train and deploy state‑of‑the‑art foundation models. Our work spans the full spectrum of robotics intelligence—from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that handle diverse real‑world scenarios. We build systems that don’t just work in the lab, but scale to meet the demands of Amazon's global operations.

Basic Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related technical field.
• 5+ years of technical program or product management experience leading complex, cross‑functional programs, building processes, and coordinating timelines.
• 3+ years of hands‑on experience managing programs involving software engineering or robotics development.
• Ability to manage programs across multiple technical disciplines (e.g., AI/ML, software, hardware, operations).

Preferred Qualifications

• Master's degree in Engineering, Computer Science, or MBA.
• 7+ years of technical program management experience in robotics, AI research, software development, or related advanced technology domains where requirements evolve rapidly.
• Experience with Agile Frameworks or similar methodologies for software development.
• Ability to manage programs involving AI/ML model development, training infrastructure, or large‑scale compute resources.
• Strong stakeholder management skills with experience communicating program status and risks to senior leadership.
• Sound technical judgment with ability to understand and influence technical decisions across the stack, and experience managing dependencies, risks, and scope.
• Experience establishing program management mechanisms, driving alignment, and managing escalations in fast‑paced, ambiguous environments.

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.