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

Description Join Amazon's Frontier AI & Robotics team as a Member of Technical Staff, this Technical Program Manager will become the driving force behind breakthrough robotics innovation. You'll orchestrate complex, cross‑functional programs that bridge AI research, software, hardware, and production deployment—managing the technical workstreams that enable robots to see, reason, and act in Amazon's warehouse environments. Your program leadership will directly accelerate 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 tradeoff 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; escalating where necessary and driving 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 tradeoff 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'll 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're the connective tissue that enables researchers, engineers, and operations specialists to move fast together. About The Team At Frontier AI & Robotics, we're not just advancing robotics – we're reimagining it from the ground up. Our team is building 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 can handle diverse real‑world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations. Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world‑class researchers, and seeing your innovations deployed at unprecedented scale. 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 Equal Opportunity / Legal Statement Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $150,000/year in our lowest geographic market up to $300,000/year in our highest geographic market. Pay is based on a number of factors, including market location, and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit Applicants should apply via our internal or external career site. #J-18808-Ljbffr Amazon Science