HelloFreshNew York, NY, United States$190k-$233k
AmazonPosted 2d ago
Product Manager - Tech, GO-AI Technology & Development Team at Amazon scores 70 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
Drive product roadmap and feature strategy for AI-powered robotics annotation and tele-operations systems.
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
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
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?
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where natural language processing was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Data Labeling, Computer Vision, Nlp, Product Management, and Natural Language Processing. 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.
Want your resume actually rewritten for this job?
The free preview above is everything we have today. A full resume rewrite is not live yet and has no price set. Join the waitlist and we will email you if we open it.
Similar roles
Product roles rated AI Level 3 at other companies.
TruvetaRemote · Hyderabad, India
DatabricksRemote · Remote - California; Remote - Virginia; Remote - Washington D.C.$182k-$250k
PinterestRemote · San Francisco, CA, US; Remote, US
DatadogNew York, New York, USA$192k-$240k
More jobs at Amazon
AmazonIT, RM, Rome€50k
Meister / Techniker als Teamleiter Instandhaltung - Gattendorf bei Bayreuth / Coburg / Zwickau / Hof
AmazonDE, Gattendorf
AmazonGB, LEC, Coalville




