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About This Role
DESCRIPTION
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As a Sr. HR Specialist in Executive Development at Amazon Entertainment PXT, you will strengthen leadership capability at the senior level by diagnosing talent needs and delivering targeted development solutions that drive business momentum.
In this role, you will design and scale experiences that integrate coaching, assessments, and learning across multiple formats, while partnering with executives and HR leaders to translate business priorities into high\-impact strategies.
You’ll lead end\-to\-end program execution, managing vendors, guiding participants, and ensuring quality delivery while using data to continuously improve outcomes. You’ll also steward Amazon culture and experiment with AI technologies to design content, streamline workflows, and build tools that reduce manual effort and elevate program impact.
Key job responsibilities
- Design and customize leadership development experiences for senior\-level talent, including in\-person, hybrid, and online learning formats, coaching partnerships, and leadership assessments tailored to organizational needs
- Research and pilot innovative talent solutions by identifying best practices, testing new development approaches, and implementing strategies that address executive talent development needs
- Collaborate with senior leaders and HR partners to align talent development initiatives with business priorities, manage program logistics, and ensure solutions support key leadership competencies
- Execute end\-to\-end program operations including managing vendor relationships, coordinating participant communications, handling logistics, and tracking metrics that demonstrate business impact
- Analyze program data and drive continuous improvement by creating comprehensive reports, identifying enhancement opportunities, and developing standard operating procedures that ensure consistent quality delivery
A day in the life
Your mornings are spent orchestrating the engine behind leadership development—mapping annual program calendars, pressure\-testing agendas, and identifying what’s needed to bring each experience to life, from speakers to logistics to digital content. You’re coordinating executive coach pairings, launching cohorts, and ensuring every detail—from assessments to coaching kickoffs—runs seamlessly.
By mid\-day, your focus shifts to design and influence. You’re analyzing cohort feedback, translating insights into program enhancements, and researching best practices to continuously raise the bar. You partner with senior leaders who serve as teachers and advisors, strengthening their engagement, and consult with HR Business Partners to identify the talent who will most benefit from, and contribute to, these experiences.
Afternoons center on measurement, optimization, and scale. You’re evaluating program impact through completion rates and participant sentiment, managing key stakeholder relationships, and overseeing vendor performance and budgets. You refine processes in real time, continuously improving how programs operate and scale.
No two days look the same. You move fluidly between strategy and execution—building the systems, experiences, and partnerships that develop leaders and shape the future of the organization.
About the team
We're the People Experience Programs team within Amazon Entertainment PXT, a group focused on developing the next generation of leaders. We partner closely with senior leaders to design and deliver high\-impact talent solutions, including executive coaching, leadership assessment, succession planning, and organizational effectiveness initiatives.
You'll work alongside talent strategists, program managers, and HR business partners who are deeply connected to the business and focused on solving real organizational challenges through thoughtful, data\-driven approaches.
We balance strategy with execution. You'll collaborate with colleagues who continuously explore emerging practices, test new ideas, and evolve programs based on insights and results. The environment is fast\-paced and highly collaborative, with multiple programs moving at once and stakeholders at every level.
We take pride in delivering exceptional experiences while staying grounded in what matters most—developing leaders who make a meaningful impact on the business.BASIC QUALIFICATIONS
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- Bachelor's degree or equivalent in Business, Program Management, Human Resources, Employment Law, Computer Science, Finance, Computer Information Systems, Engineering, Operations Research or a related field
- Experience managing multiple projects and priorities across teams in a fast\-paced, deadline\-driven environment
- Experience in written and oral communication, including the ability to communicate with all levels in the organization (technical, business, executive)
PREFERRED QUALIFICATIONS
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- Experience experience using data and metrics to measure impact and determine improvements
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Demonstrable experience designing onboarding and/or development experiences for senior leaders within the tech, entertainment, podcast, sports, music, or gaming industries
- Experience using LMS, CMS, or alternative technologies to design digital learning experiences and learning pathways
- Over 6\+ years of program management experience within HR / People eXperience \& Technology organizations
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, Culver City \- 125,800\.00 \- 170,200\.00 USD annually
USA, WA, Seattle \- 125,800\.00 \- 170,200\.00 USD annually
Salary Context
This $125K-$170K range is below the median for AI Product Manager roles in our dataset (median: $174K across 475 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 26,159 AI roles we're tracking, AI Product Manager positions make up 2% 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 Required
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 $204,600 based on 532 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $227,400. This role's midpoint ($148K) sits 28% below the category median. Disclosed range: $125K to $170K.
Across all AI roles, the market median is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Architect ($292,900). By seniority level: Entry: $76,880; Mid: $131,300; Senior: $227,400; Director: $244,288; VP: $234,620.
Amazon.com AI Hiring
Amazon.com has 488 open AI roles right now. They're hiring across AI/ML Engineer, AI Product Manager, Data Scientist, Research Scientist. Positions span New York, NY, US, Seattle, WA, US, Arlington, VA, US. Compensation range: $52K - $342K.
Location Context
AI roles in Seattle pay a median of $223,600 across 678 tracked positions. That's 22% 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 26,159 open positions tracked in our dataset. By seniority: 2,416 entry-level, 16,247 mid-level, 5,153 senior, and 2,343 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (1,863 positions). The remaining 24,200 roles require on-site or hybrid attendance.
The market median for AI roles is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. Highest-paying categories: AI Engineering Manager ($293,500 median, 28 roles); AI Architect ($292,900 median, 108 roles); AI Safety ($274,200 median, 19 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 26,159 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (23,752), AI Software Engineer (598), AI Product Manager (594). 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 (2,416) are outnumbered by mid-level (16,247) and senior (5,153) 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 2,343 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (1,863 positions), with 24,200 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 $184,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $309,400. 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 Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $122,200. 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: Rag (16,749 postings), Aws (8,932 postings), Rust (7,660 postings), Python (3,815 postings), Azure (2,678 postings), Gcp (2,247 postings), Prompt Engineering (1,469 postings), Openai (1,269 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
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