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Principal Product Manager - Technical - AI, Global Operations Shared Services (GOSS)

at Amazon

Back to all Data Science / AI / ML jobs
Amazon logo
Industry not specified

Principal Product Manager - Technical - AI, Global Operations Shared Services (GOSS)

at Amazon

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 5 hours ago

No clicks

Compensation
$170,900 – $243,400 USD

Currency: $ (USD)

City
Not specified
Country
United States

Lead Principal Product Manager - Technical for AI in Global Operations Shared Services (GOSS). This is a hands-on, high-impact individual contributor role that expects you to identify hard, unstructured problems, build rapid AI-powered prototypes, and establish scalable patterns for the broader team. You will define problems upstream, validate ideas with working demos, and set technical and product standards while collaborating closely with engineers and data scientists. The role emphasizes delivering real software over lengthy documentation and mentoring others through hands-on execution.

Global Operations Shared Services is seeking a Principal Product Manager - Technical to join our Business Innovation & AI team. This is a hands-on, high-impact individual contributor role for someone who thrives in ambiguity, loves building, and makes everyone around them faster and sharper. You won't be handed a defined product with a known roadmap. You'll be dropped into genuinely hard, unstructured problems — where the opportunity isn't fully visible yet — and expected to figure out what to build, build it (or build enough of it to prove it works), and create the conditions for others to carry it forward at scale. You are a practitioner first.
You operate a level upstream: defining which problems are worth solving, validating ideas through working prototypes before committing to full builds, and establishing the technical and product patterns that the broader team can replicate. You bring strong technical depth in AI to be fluent and credible in a whiteboard session with engineers, and enough product instinct to know when a demo is more valuable than a document.


Key job responsibilities
Find the Hard Problems Before They're Obvious — You don't wait for a business case to land in your lap. You embed with operational teams, ask uncomfortable questions, and surface the high-value opportunities that aren't yet on anyone's roadmap. You have the experience to distinguish between problems that are genuinely hard and worth solving versus those that are loud but shallow. You define the problem space with enough precision that engineers can start building.

Build Prototypes That Prove — or Kill — Ideas Fast — Your default mode is working software over perfect documentation. You partner directly with science and engineering teams to design and build rapid prototypes that validate AI use cases in weeks, not quarters. You know enough about GenAI, ML pipelines, and automation tooling to be a meaningful contributor in technical design sessions — not just a translator. You use prototypes to generate real signal: does this work, does it matter, and is it worth the full investment?

Set the Technical and Product Standard — You are the bar-raiser for what good looks like on this team. You bring patterns, frameworks, and hard-won judgment that elevate the work of those around you. Not through process or governance — through doing great work that others learn from. You review technical designs, challenge assumptions, spot the architectural risks that aren't obvious, and ask the questions that push solutions from adequate to excellent.

Make the Work Legible and Others Better — You write sharply and communicate complex technical trade-offs with clarity — to engineers, to business partners, to anyone who needs to make a decision. You also make the people around you better: not as a manager, but as a senior practitioner whose judgment is worth seeking. You mentor through doing, not directing.

A day in the life
You sit down with your laptop and directly build a working prototype — stitching together an LLM API, a few automation hooks, and a UI — to demonstrate a solution to a business challenge that the team has been debating for weeks. The prototype isn't pretty, but it's real enough to generate a decision.

You're in a working session with two engineers and a data scientist, sketching the architecture for a GenAI prototype that automates a manual ops workflow — you're the one who proposed the approach and you're driving the technical design.

You've identified a use case that no one has formally scoped yet; you spend the morning with an ops leader pressure-testing whether it's real, then the afternoon building a working prototype.

You host a feedback session with an operational customer reviewing an MVP you've been iterating on. You listen more than you talk, capture the friction points and the moments of genuine delight, and by the time the session ends you've already mentally reprioritized the next two weeks of work — one feature is getting cut entirely, and you know exactly why.

Amazon Benefits:
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 skill sets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

Basic Qualifications

- 8+ years of technical product management, program management or engineering experience
- Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
- Experience handling ambiguous or undefined challenges through strong problem solving abilities
- Experience working with or evaluating AI systems
- Experience defining system architectures and exploring technical feasibility tradeoffs
- Experience directly working with engineering teams

Preferred Qualifications

- Experience working with Advanced Compute technologies including, but not limited to: Accelerated Compute, High Performance Compute, Visual/Spatial Compute, and/or IoT.
- Experience in relevant industry fields like operations, risk, or fraud investigations
- 5+ years of technical product or program management experience
- Experience with automation, testing, or monitoring framework development

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, TN, Nashville - 170,900.00 - 231,300.00 USD annually
USA, WA, Bellevue - 179,900.00 - 243,400.00 USD annually

Principal Product Manager - Technical - AI, Global Operations Shared Services (GOSS)

at Amazon

Back to all Data Science / AI / ML jobs
Amazon logo
Industry not specified

Principal Product Manager - Technical - AI, Global Operations Shared Services (GOSS)

at Amazon

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 5 hours ago

No clicks

Compensation
$170,900 – $243,400 USD

Currency: $ (USD)

City
Not specified
Country
United States

Lead Principal Product Manager - Technical for AI in Global Operations Shared Services (GOSS). This is a hands-on, high-impact individual contributor role that expects you to identify hard, unstructured problems, build rapid AI-powered prototypes, and establish scalable patterns for the broader team. You will define problems upstream, validate ideas with working demos, and set technical and product standards while collaborating closely with engineers and data scientists. The role emphasizes delivering real software over lengthy documentation and mentoring others through hands-on execution.

Global Operations Shared Services is seeking a Principal Product Manager - Technical to join our Business Innovation & AI team. This is a hands-on, high-impact individual contributor role for someone who thrives in ambiguity, loves building, and makes everyone around them faster and sharper. You won't be handed a defined product with a known roadmap. You'll be dropped into genuinely hard, unstructured problems — where the opportunity isn't fully visible yet — and expected to figure out what to build, build it (or build enough of it to prove it works), and create the conditions for others to carry it forward at scale. You are a practitioner first.
You operate a level upstream: defining which problems are worth solving, validating ideas through working prototypes before committing to full builds, and establishing the technical and product patterns that the broader team can replicate. You bring strong technical depth in AI to be fluent and credible in a whiteboard session with engineers, and enough product instinct to know when a demo is more valuable than a document.


Key job responsibilities
Find the Hard Problems Before They're Obvious — You don't wait for a business case to land in your lap. You embed with operational teams, ask uncomfortable questions, and surface the high-value opportunities that aren't yet on anyone's roadmap. You have the experience to distinguish between problems that are genuinely hard and worth solving versus those that are loud but shallow. You define the problem space with enough precision that engineers can start building.

Build Prototypes That Prove — or Kill — Ideas Fast — Your default mode is working software over perfect documentation. You partner directly with science and engineering teams to design and build rapid prototypes that validate AI use cases in weeks, not quarters. You know enough about GenAI, ML pipelines, and automation tooling to be a meaningful contributor in technical design sessions — not just a translator. You use prototypes to generate real signal: does this work, does it matter, and is it worth the full investment?

Set the Technical and Product Standard — You are the bar-raiser for what good looks like on this team. You bring patterns, frameworks, and hard-won judgment that elevate the work of those around you. Not through process or governance — through doing great work that others learn from. You review technical designs, challenge assumptions, spot the architectural risks that aren't obvious, and ask the questions that push solutions from adequate to excellent.

Make the Work Legible and Others Better — You write sharply and communicate complex technical trade-offs with clarity — to engineers, to business partners, to anyone who needs to make a decision. You also make the people around you better: not as a manager, but as a senior practitioner whose judgment is worth seeking. You mentor through doing, not directing.

A day in the life
You sit down with your laptop and directly build a working prototype — stitching together an LLM API, a few automation hooks, and a UI — to demonstrate a solution to a business challenge that the team has been debating for weeks. The prototype isn't pretty, but it's real enough to generate a decision.

You're in a working session with two engineers and a data scientist, sketching the architecture for a GenAI prototype that automates a manual ops workflow — you're the one who proposed the approach and you're driving the technical design.

You've identified a use case that no one has formally scoped yet; you spend the morning with an ops leader pressure-testing whether it's real, then the afternoon building a working prototype.

You host a feedback session with an operational customer reviewing an MVP you've been iterating on. You listen more than you talk, capture the friction points and the moments of genuine delight, and by the time the session ends you've already mentally reprioritized the next two weeks of work — one feature is getting cut entirely, and you know exactly why.

Amazon Benefits:
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 skill sets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

Basic Qualifications

- 8+ years of technical product management, program management or engineering experience
- Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
- Experience handling ambiguous or undefined challenges through strong problem solving abilities
- Experience working with or evaluating AI systems
- Experience defining system architectures and exploring technical feasibility tradeoffs
- Experience directly working with engineering teams

Preferred Qualifications

- Experience working with Advanced Compute technologies including, but not limited to: Accelerated Compute, High Performance Compute, Visual/Spatial Compute, and/or IoT.
- Experience in relevant industry fields like operations, risk, or fraud investigations
- 5+ years of technical product or program management experience
- Experience with automation, testing, or monitoring framework development

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, TN, Nashville - 170,900.00 - 231,300.00 USD annually
USA, WA, Bellevue - 179,900.00 - 243,400.00 USD annually

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