Interested in this AI Product Manager role at Amazon.com?
Apply Now →About This Role
DESCRIPTION
---------------
As a Principal Technical Program Manager on the core team, you will define and frame ambiguous, undefined problem spaces across Prime Video's AI landscape , driving clarity where business objectives and technical strategy have not yet been articulated. You may not know what the problem is before starting. You will own the end\-to\-end strategy, execution, and launch of transformation programs that span multiple organizations across Prime Video, Amazon Entertainment, and adjacent Amazon businesses. You will influence architectural decisions and resource allocation at the VP\+ level, serving as a strategic advisor who shapes investment decisions and multi\-year technology roadmaps.
You will identify technical risks and opportunities across a complex architecture portfolio, influencing engineering best practices and long\-term technical direction. You will create scalable mechanisms and frameworks that drive impact across the organization, addressing architectural and process challenges. You will serve as an escalation point for critical cross\-organizational technical decisions and help align teams toward coherent technology strategies.
You will be advising senior leaders on strategy, trade\-offs, and prioritization. This role provides you the opportunity to think big in terms of strategy as well as significantly impact the bottom line across multiple organizations.
Prime Video is a first\-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios\-produced series and movies; licensed fan favorites; and programming from Prime Video add\-on subscriptions such as Apple TV\+, Max, Crunchyroll and MGM\+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best\-in\-class digital video experience.
As a Prime Video technologist, you’ll have end\-to\-end ownership of the product, user experience, design, and technology required to deliver state\-of\-the\-art experiences for our customers. You’ll get to work on projects that are fast\-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
We’ll look for you to bring your diverse perspectives, ideas, and skill\-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!
Key job responsibilities
- Consistently meet challenging deadlines and deliver high\-quality solutions that enable the Prime Video platform to scale to meet growing customer demand.
- Strong knowledge of current and emerging AI technologies and technology\-driven workflows, with the ability to evaluate new capabilities, identify opportunities for innovation, and guide cross\-functional teams through responsible technology adoption and integration.
- Proactively identify and mitigate risks related to both traditional systems and automation deployments, including model drift, data quality, and ethical considerations, communicating regularly with stakeholders on project status and issues.
- Demonstrate deep technical expertise in cloud infrastructure, distributed systems, and large\-scale data processing, with familiarity in modern machine learning technologies and their practical applications.
- Partner closely with engineering, product, and business leaders to align initiatives with high\-level objectives and achieve measurable improvements in efficiency or customer experience.
- Communicate ideas effectively to a wide range of audiences, foster constructive dialogue, and lead the resolution of contentious technical issues.
A day in the life
As a Principal Technical Program Manager, your day is filled with leading high\-impact, cross\-organizational strategic initiatives.
- Driving clarity in ambiguous problem spaces and defining strategy where none exists.
- Advising Leadership/stakeholders on trade\-offs, risks, and strategic direction.
- Creating and optimizing cross\-org structures and mechanisms that enable teams to move faster.
- Serving as the escalation point for critical technical decisions spanning multiple organizations.
- Force multiplying by building frameworks, mechanisms, and best practices that scale beyond your direct programs.
- Thinking big and working with senior leadership, business stakeholders, and engineering teams to define vision, strategy, and requirements that span organizational boundaries.
About the team
The core TPM team is responsible for running large initiatives across Prime Video to improve existing or build brand new experiences to help Amazon customers discover great content and get personalized recommendations on our apps on a verity of surfaces (e.g. Web, iOS/Android, FireTV, Living Room devices).BASIC QUALIFICATIONS
------------------------
- 10\+ years of working directly with engineering teams experience
- 10\+ years of technical product or program management experience
- 10\+ years of software development experience
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience owning/driving roadmap strategy and definition
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience managing programs across multiple organizations, building cross\-org mechanisms, and driving alignment at the executive level.
PREFERRED QUALIFICATIONS
----------------------------
- Experience in the streaming, entertainment, or media industry, with knowledge of how marketing content is produced and distributed across global markets
- Experience driving adoption of AI\-native solutions across marketing organizations, enhancing existing workflows with automated, outcome\-based approaches
- Experience partnering with science and ML teams on model development, evaluation, and integration into production systems at scale
- Experience designing and evaluating system\-level technical architecture at scale
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, WA, SEATTLE \- 177,000\.00 \- 239,400\.00 USD annually
Salary Context
This $177K-$239K range is above the median for AI Product Manager roles in our dataset (median: $188K across 140 roles with salary data).
View full AI Product Manager salary data →Role Details
About This Role
AI Product Managers define what AI features get built and why. They translate business problems into ML-solvable tasks, work with engineering to scope model requirements, and own the metrics that determine if an AI feature is working. The role requires a rare combination of technical fluency and product instinct.
Unlike traditional product management, AI PM work involves managing uncertainty at a fundamental level. Your model might work 90% of the time. What happens the other 10%? What's the user experience when the AI is wrong? How do you measure 'good enough' for a probabilistic system? These questions don't have easy answers, and the AI PM is the person responsible for finding them.
Across the 3,708 AI roles we're tracking, AI Product Manager positions make up 5% of the market. At Amazon.com, this role fits into their broader AI and engineering organization.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
What the Work Looks Like
A typical week includes: reviewing model evaluation results with the ML team, defining success metrics for a new AI feature, conducting user research on how customers respond to AI-generated outputs, writing product requirements that include accuracy thresholds and fallback behaviors, and presenting the AI roadmap to leadership. You're the translator between technical capability and business value.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
Skills in Demand for This Role
Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.
The differentiator is AI-specific product thinking: knowing when to use ML vs. heuristics, understanding the cost of training data collection, designing graceful degradation for model failures, and building products that improve with usage data. Experience with AI safety, bias mitigation, and responsible AI deployment is increasingly important.
Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
Compensation Benchmarks
AI Product Manager roles pay a median of $216,175 based on 270 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $230,000. Disclosed range: $177K to $239K.
Across all AI roles, the market median is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. For comparison, the highest-paying categories include AI Safety ($300,000) and Research Engineer ($280,000). By seniority level: Entry: $120,000; Mid: $200,000; Senior: $230,000; Director: $272,150; VP: $250,000.
Amazon.com AI Hiring
Amazon.com has 97 open AI roles right now. They're hiring across Research Scientist, AI/ML Engineer, Data Scientist, AI Product Manager. Positions span Sunnyvale, CA, US, Culver City, CA, US, San Francisco, CA, US. Compensation range: $97K - $327K.
Location Context
AI roles in Seattle pay a median of $236,900 across 267 tracked positions. That's 9% above the national median.
Career Path
Common paths into AI Product Manager roles include Product Manager, Data Analyst, Technical Program Manager.
From here, career progression typically leads toward Director of AI Product, VP Product, Head of AI.
The most effective path is PM experience plus self-directed AI education. Take Andrew Ng's courses, build a small ML project, and learn enough Python to read model evaluation code. The goal isn't to become an ML engineer. It's to have credibility in technical conversations and to understand what's possible, what's hard, and what's a bad idea.
What to Expect in Interviews
AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.
When evaluating opportunities: Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
AI Hiring Overview
The AI job market has 3,708 open positions tracked in our dataset. By seniority: 102 entry-level, 1,705 mid-level, 1,469 senior, and 432 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (508 positions). The remaining 3,180 roles require on-site or hybrid attendance.
The market median for AI roles is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. Highest-paying categories: AI Safety ($300,000 median, 21 roles); Research Engineer ($280,000 median, 147 roles); AI Architect ($254,798 median, 67 roles).
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
The AI Job Market Today
The AI job market spans 3,708 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (2,605), Data Scientist (310), AI Software Engineer (259). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (102) are outnumbered by mid-level (1,705) and senior (1,469) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 432 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (508 positions), with 3,180 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $217,500. Top-quartile roles start at $272,100, and the 90th percentile reaches $325,000. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $300,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,890 postings), Aws (1,103 postings), Azure (877 postings), Rag (855 postings), Gcp (631 postings), Prompt Engineering (560 postings), Pytorch (545 postings), Claude (498 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
Get Weekly AI Career Intelligence
Salary data, skills demand, and market signals from 16,000+ AI job postings. Every Monday.