Product Manager - Tech, GO-AI Technology & Development Team

Amazon is hiring a Product Manager - Tech, GO-AI Technology & Development Team. It pays $129k-$175k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this AI product manager role Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions AI data labeling, computer vision and NLP among its tools and skills.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.

AI in this role

ai-data-labelingcomputer-visionnlp

Amazon Robotics is at the forefront of applying state-of-the-art artificial intelligence to solve real-world challenges on an unprecedented scale. Our fulfillment centers handle more individual items than any company in the world, combining computer vision, mobile robots, advanced end-of-arm tooling, and high-degree of freedom movement with state-of-the-art AI. We collaborate with customers 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) 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.

As a Product Manager - Tech, you will own and drive GO-AI's product feature strategy and roadmap. You will develop deep expertise in GO-AI's customers and operations to make informed, data-driven product decisions. Leveraging your technical acumen and operational knowledge, you will influence architecture decisions, evaluate technical proposals, and ensure alignment between customer needs and engineering execution. GO-AI's product portfolio spans software applications for annotations and near-real-time remote intervention, business intelligence reporting and insights, and data discoverability platforms. It also includes foundation models designed to automate the annotation process and other high-value workflows. The portfolio is actively expanding to support remote real-time tele-operations—a critical growth area that will require defining new product capabilities from the ground up.

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
- Define GO-AI product long-term vision, portfolio roadmap, and priorities through Working Backwards documents
- Perform competitive analysis by establishing continuous customer and market feedback loops; translate insights into actionable product direction
- Drive end-to-end product and feature launches across the GO-AI portfolio, ensuring operational readiness, customer adoption, and alignment to business goals
- Partner with GO-AI engineering and science teams to navigate trade-offs across customer requirements, technical feasibility, and quality standards
- Partner with GO-AI operations teams to balance delivery KPIs, including quality thresholds, with speed and scope
- Define adoption metrics and own the business reporting cadence (weekly/monthly); present progress and recommendations to leadership
- Represent customer needs in architecture and technical design discussions, ensuring product decisions are grounded in real-world operational context

Basic qualifications

- Bachelor's degree in engineering, computer science or equivalent
- 5+ years of technical product or program management experience
- Can show strong verbal and written communication skills
- 3+ years of experience owning/driving roadmap strategy and definition of software products along with feature delivery and tradeoffs of a product
- Experience building or managing data analytics products
- Experience contributing to science, software, and data engineering discussions around technology decisions and strategy
- Experience working with engineering teams delivering software products and features using agile methodologies

Preferred qualifications

- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
- Master's in Computer Science or other relevant degree
- Knowledge of engineering practices and patterns for the full software development life cycle
- Experience with data labeling platforms, human-in-the-loop ML systems, or annotation tooling
- Familiarity with remote tele-operations concepts and solutions
- 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 - 129,200.00 - 174,800.00 USD annually
USA, MA, North Reading - 129,200.00 - 174,800.00 USD annually
USA, MA, Westboro - 129,200.00 - 174,800.00 USD annually

How we rate this

Product Manager - Tech, GO-AI Technology & Development Team at Amazon rates 69 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.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ 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.

Key facts

Product Manager - Tech, GO-AI Technology & Development Team is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $129k-$175k a year.
The role is based in US, MA, Westboro.
The job was posted on September 22, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI Data LabelingComputer visionNLP

Also common in AI product manager jobs at this level

AI agents LLM Generative AI Machine learning AWS SQL

Pay

This job starts at: $129k
Typical AI product manager job: $178k

This posting starts 27% below the typical AI product manager job. See AI product manager jobs

Questions you could be asked

How do you keep labeling instructions consistent across a large annotation team?
Walk me through a computer vision problem you solved, from raw data to a deployed model.
What NLP problem have you worked on, and how did you measure whether it actually worked?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: 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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