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Amazon

Technical Program Manager-II, GO-AI

Amazon is hiring a Technical Program Manager-II, GO-AI in Vancouver, Canada. It pays $127k-$172k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include AI automation, AI evaluation and AI data labeling.
  • Level classifies it as a mid-level role.
  • Level lists 21,000+ other open roles at Amazon.
  • The role was posted in the last few days.

AI in this role

ai-automationai-evaluationai-data-labelingcomputer-visionnlp
Amazon Robotics (AR) is at the forefront of applying state-of-the-art artificial intelligence to solve real-world challenges at unprecedented scale. Our fulfilment centers handle more individual items than any company in the world, combining computer vision, mobile robots, advanced end-of-arm tooling, high-degree-of-freedom movement, and state-of-the-art AI. We collaborate with teams across Amazon worldwide to conceive, develop, prototype, and deploy intelligent robotic systems that push the boundaries of industrial automation.

Within Amazon Robotics, the Global Operations – Artificial Intelligence (GO-AI) organization enables Amazon to accelerate and scale the next generation of AI-powered robotic solutions. We're transforming how complex visual reasoning tasks are performed across Amazon's robotics operations, moving from traditional manual data annotation processes to state-of-the-art foundation model solutions. GO-AI's Technology & Development team is a cross-functional organization of Software Development Engineers, Technical Program Managers, Program Managers, and Business Intelligence Engineers responsible for GO-AI's technical strategy, platform capabilities, and delivery.

As a Technical Program Manager on GO-AI's Technology & Development team, you will partner with product, science, software engineering, data engineering, operations, and other Amazon Robotics teams to accelerate the evaluation, deployment, and scaling of AI solutions across Amazon Robotics. You will own complex, cross-functional programs spanning solution definition, experimentation, operational readiness, deployment, and continuous improvement. Success in this role requires balancing technical depth with strong program ownership.

This is a rare opportunity to work with a team building AI systems that operate at Amazon scale while solving novel technical challenges in computer vision, natural language processing, and human-AI collaboration. You'll collaborate with world-class scientists, engineers, and operations teams to deploy state-of-the-art research into production systems that deliver real-world impact at global scale.


Key job responsibilities
• Partner with other Amazon teams to understand AI automation-based use cases, evaluate partnership opportunities, and define GO-AI's technical and operational plans to support them.
• Build trusted partnerships with business and technical teams, serving as the primary GO-AI partner throughout the program lifecycle.
• Design and lead human-in-the-loop solutions and AI workflows that bridge science, engineering, and operations.
• Partner with GO-AI Software, Science, Data, and Business Intelligence Engineering teams to identify capability gaps, prioritize features, and influence long-term platform roadmaps.
• Define success metrics, monitor program health, and use data to drive decisions, identify risks, and evaluate trade-offs.
• Drive cross-functional reviews through clear written and verbal communication of program strategy, risks, trade-offs, and recommendations.
• Drive process simplification by eliminating inefficiencies and building scalable mechanisms.


A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About the team
Within Amazon Robotics, the Global Operations - Artificial Intelligence (GO-AI) team enables Amazon to accelerate and scale the next generation of AI-powered robotic solutions. We're transforming how complex visual reasoning tasks are performed across Amazon's robotics operations, moving from traditional manual data annotation processes to state-of-the-art foundation model solutions.

Basic qualifications

- 3+ years of technical product or program management experience
- 4+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Bachelor's degree in engineering, computer science or equivalent
- Experience defining technical requirements and partnering with engineering teams to deliver scalable technical solutions.
- Demonstrated ability to drive clarity and define program structure in ambiguous domains.
- Excellent verbal and written communication skills.

Preferred qualifications

- Experience influencing product or platform roadmaps across engineering teams.
- Experience with computer vision, human-in-the-loop systems, or model evaluation and deployment.
- Familiarity with robotics, fulfilment operations or large-scale annotation/labelling workflows.
- Experience working with applied science teams and foundation model technologies.

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

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.



USA, MA, Boston - 127,100.00 - 172,000.00 USD annually
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USA, MA, Westboro - 127,100.00 - 172,000.00 USD annually

How we rate this

Technical Program Manager-II, GO-AI at Amazon rates 66 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI AutomationAI EvaluationAI Data LabelingComputer visionNLP

Questions you could be asked

  1. Tell me about a workflow you automated with AI tools, end to end.
  2. How do you decide that one model's output is better than another's for a given task?
  3. How do you keep labeling instructions consistent across a large annotation team?
  4. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  5. What NLP problem have you worked on, and how did you measure whether it actually worked?

Adapt your resume

  • List these exact terms on your resume: AI Automation, AI Evaluation, AI Data Labeling, Computer vision, and NLP. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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