Licensing & Product Strategy Mgr, Prime Video

📍 Job Overview

Job Title: Licensing & Product Strategy Manager, Prime Video

Company: Amazon

Location: Culver City, California, United States

Job Type: Full-time

Category: Product Management / Operations Strategy

Date Posted: March 04, 2026

Experience Level: Mid-Senior Level (approximately 7+ years)

Remote Status: On-site

🚀 Role Summary

• Drive strategic initiatives and operational excellence within the Prime Video content licensing ecosystem, focusing on self-service mechanisms like Prime Video Direct.

• Develop and implement innovative product and operational solutions to enhance the customer experience for content providers and distributors globally.

• Leverage data analysis, AI-powered automation, and generative AI to identify customer pain points, drive insights, and scale business operations.

• Manage complex, cross-functional projects from conception to delivery, ensuring alignment with organizational goals and stakeholder needs.

📝 Enhancement Note: This role is positioned within the Prime Video Content Acquisition team, specifically focusing on the operational and strategic aspects of licensing content through Prime Video Direct. The emphasis on AI, prompt engineering, and generative AI suggests a forward-thinking approach to operations and product development within a highly visible and impactful business unit. The blend of product management, project management, and operational strategy necessitates a candidate adept at navigating ambiguity and driving results in a fast-paced environment.

📈 Primary Responsibilities

• Own and support worldwide licensing operations and strategy for Prime Video Direct, the self-service licensing and publishing platform.

• Collaborate with global content acquisition teams to license the best content for Prime Video customers.

• Design and implement innovative product and operational solutions for complex challenges in content distribution.

• Lead strategic initiatives across all Prime Video business lines (SVOD, TVOD, AVOD) to streamline content distribution for creators worldwide.

• Develop and refine critical operational tools, including operational plans and strategy documents for content licensing.

• Apply product management principles to define feature requirements and project management frameworks to track deliverables and milestones.

• Utilize business intelligence (BI) assets and analytics tools to drive and support strategic initiatives related to content acquisition.

• Explore and implement AI-driven solutions, including prompt engineering, to automate routine tasks, generate insights from unstructured data, and enhance decision-making in the content licensing workflow.

• Balance operational execution with strategic thinking to meet deadlines and deliver results consistently.

• Drive automation and scale through cross-functional collaboration and process optimization.

📝 Enhancement Note: The responsibilities highlight a dual focus on strategic planning and hands-on operational execution. The emphasis on "owning and supporting" suggests significant autonomy, while "leading strategic initiatives" implies a need for strong leadership and influence. The explicit mention of AI and prompt engineering indicates a requirement to integrate cutting-edge technologies into operational workflows, a key trend in modern operations roles.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's degree in Business, Marketing, Operations, or a related field is typically expected for roles with this level of responsibility. Advanced degrees (MBA, Master's in relevant field) would be a strong asset.

Experience: A minimum of 7+ years of experience in account management, business development, content licensing, or finance is required. Experience in product management, project management, or program management is crucial, with a demonstrated ability to lead complex and ambiguous projects.

Required Skills:

• Product Management: Proven ability to define product roadmaps, gather requirements, and guide product development lifecycle.

• Project & Program Management: Mastery of methodologies for managing cross-functional project timelines, overseeing complex initiatives, and delivering end-to-end ownership of major deliverables.

• Stakeholder Management: Excellent ability to manage relationships and drive alignment across internal and external stakeholders, including studios, distributors, filmmakers, and internal Prime Video teams.

• Analytical Skills: Strong proficiency in data analysis, with experience using tools like Excel and SQL for insights generation and decision-making.

• Operational Acumen: Deep understanding of operational processes, workflow optimization, and identifying opportunities for enhancement.

• Customer Obsession: A strong focus on understanding and improving the customer experience for both internal and external stakeholders.

• Communication: Excellent written and verbal communication skills, with the ability to articulate complex ideas clearly and persuasively.

• Adaptability: Ability to balance operational and strategic work, thrive in ambiguous environments, and deliver results under pressure.

Preferred Skills:

• AI & Automation Expertise: Experience with AI-powered automation, generative AI solutions, prompt engineering, and leveraging Large Language Models (LLMs) to optimize workflows and generate insights.

• Digital Video Landscape: Solid understanding of the digital video distribution landscape, including technologies and business models (SVOD, TVOD, AVOD).

• Business Intelligence (BI) & Analytics: Experience with BI tools and analytical platforms for driving strategic initiatives and performance measurement.

• Content Licensing: Familiarity with content acquisition, licensing agreements, and distribution channels within the media and entertainment industry.

• Resource Allocation & Risk Mitigation: Demonstrated ability to effectively allocate resources and proactively mitigate project risks.

• Entrepreneurial Spirit: A proactive and innovative mindset with the ability to influence others and drive change.

📝 Enhancement Note: The "7+ years" requirement, coupled with the complexity of responsibilities, positions this as a mid-to-senior level role. The explicit mention of AI, prompt engineering, and LLMs is a significant differentiator, indicating Amazon's investment in these technologies for operational efficiency and product innovation within Prime Video. Candidates should be prepared to showcase experience in these emerging areas.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Project & Program Management Case Studies: Showcase successful management of complex, ambiguous, and cross-functional projects from initiation to completion. Highlight methodologies used, challenges overcome, and quantifiable outcomes.

• Product Strategy & Roadmapping Examples: Provide examples of product strategy documents, roadmaps, and feature requirement definitions that led to tangible improvements or new product solutions.

• Operational Process Optimization: Present case studies demonstrating the analysis, redesign, and implementation of operational processes that resulted in increased efficiency, scalability, or improved customer experience within a licensing or content distribution context.

• AI Integration Examples: If applicable, include examples of how AI, prompt engineering, or LLMs were leveraged to automate tasks, generate insights, or enhance decision-making processes.

• Metrics & ROI Demonstration: Quantify the impact of your work using key performance indicators (KPIs) and demonstrate a clear return on investment (ROI) for initiatives led.

Process Documentation:

• Workflow Design & Optimization: Document examples of how you have designed, refined, and optimized complex workflows, particularly in areas related to content acquisition, licensing, or digital distribution.

• Implementation & Automation: Showcase experience in implementing new processes, tools, or automation solutions, detailing the planning, execution, and change management aspects.

• Measurement & Performance Analysis: Illustrate your approach to defining success metrics, tracking performance, and conducting post-implementation analysis to ensure continuous improvement and identify further optimization opportunities.

📝 Enhancement Note: For a role at this level, a portfolio is critical for demonstrating practical application of skills. Emphasis should be placed on projects that showcase strategic thinking, operational execution, cross-functional leadership, and, increasingly, the innovative use of technology like AI. Quantifiable results are paramount.

💵 Compensation & Benefits

Salary Range: The provided salary range for Culver City, California is $103,700 - $181,500 USD annually. This range is competitive for a mid-to-senior level Product/Operations Manager role in a high-cost-of-living area like Los Angeles County, particularly within a major tech company like Amazon.

Benefits: Amazon offers a comprehensive benefits package designed to support employees and their families:

• Health Insurance: Medical, dental, vision, prescription coverage.

• Life Insurance: Basic Life & AD&D insurance, with options for supplemental life plans.

• Mental & Physical Well-being: EAP, Mental Health Support, Medical Advice Line.

• Financial Planning: Flexible Spending Accounts (FSAs), 401(k) with matching contributions.

• Time Off: Generous Paid Time Off (PTO) and Parental Leave.

• Equity & Bonuses: Sign-on payments and Restricted Stock Units (RSUs), reflecting a significant component of Amazon's compensation structure.

• Family Support: Adoption and Surrogacy Reimbursement coverage.

Working Hours: The role is listed with standard full-time working hours, typically 40 hours per week. However, given the nature of product and operations management, particularly in a global context and within a company like Amazon, flexibility and a willingness to work beyond standard hours to meet project deadlines and address urgent issues are often expected.

📝 Enhancement Note: The salary range is a key indicator of the role's seniority and responsibility. The inclusion of RSUs and sign-on bonuses signifies a total compensation package that can significantly exceed the base salary, especially for experienced professionals. The benefits listed are robust and align with industry standards for major tech employers.

🎯 Team & Company Context

🏢 Company Culture

Industry: Digital Entertainment / Technology / E-commerce. Amazon is a global leader in cloud computing (AWS), e-commerce, digital streaming (Prime Video), and artificial intelligence, among other sectors. Prime Video operates within the highly competitive streaming market, facing players like Netflix, Disney+, and HBO Max.

Company Size: Amazon is a massive, publicly traded corporation with hundreds of thousands of employees worldwide (company size estimated >100,000 employees). This scale implies robust internal processes, extensive resources, and significant opportunities for impact and career development, but also a need for strong organizational skills and adherence to established mechanisms.

Founded: Amazon was founded in 1994 by Jeff Bezos. Its history is marked by continuous innovation, customer obsession, and a drive to expand into new markets and product categories.

Team Structure:

• Prime Video Content Acquisition: This team is central to Prime Video's strategy, responsible for securing the content that drives viewership and subscriber growth across all business models (SVOD, TVOD, AVOD).

• Reporting Structure: The Licensing & Product Strategy Manager likely reports to a Director or Senior Manager within Content Acquisition or a broader Product/Operations leadership role for Prime Video. The role requires significant cross-functional collaboration with legal, finance, engineering, marketing, and business development teams.

• Cross-functional Collaboration: The role is inherently cross-functional, requiring daily interaction with internal stakeholders (e.g., legal, finance, engineering, marketing, other Prime Video business lines) and external partners (studios, distributors, filmmakers, content creators).

Methodology:

• Data Analysis & Insights: A strong reliance on data to inform strategic decisions, measure performance, and identify opportunities for improvement. This includes leveraging BI tools and potentially advanced analytics.

• Workflow Planning & Optimization: Emphasis on defining, documenting, and continuously improving operational workflows to enhance efficiency, scalability, and customer experience.

• Automation & Efficiency: A strategic imperative to leverage technology, including AI and generative AI, to automate repetitive tasks, reduce manual effort, and scale operations effectively. Amazon's "Day 1" philosophy encourages innovation and efficiency.

Company Website: https://www.amazon.com/ and https://www.amazon.jobs/

📝 Enhancement Note: Amazon's culture is famously driven by customer obsession, a bias for action, and a focus on long-term thinking. The "mechanisms" and "ownership" culture are key elements. For operations roles, understanding and contributing to scalable processes is paramount. The Prime Video team operates with high visibility and impact within this larger corporate structure.

📈 Career & Growth Analysis

Operations Career Level: This role represents a significant step beyond junior or mid-level operational or product roles. It requires a blend of strategic product thinking, robust program/project management, and deep operational execution capabilities, with a focus on a critical, revenue-generating area (content licensing). It’s a manager-level position with substantial ownership and influence.

Reporting Structure: The manager likely reports into a senior leader within Prime Video's Content Acquisition or Product Strategy umbrella. This provides exposure to senior leadership and strategic decision-making processes within the organization. The role itself may or may not have direct reports initially, but will certainly manage projects and initiatives that involve cross-functional teams.

Operations Impact: The work directly impacts Prime Video's ability to acquire and distribute content globally, which is fundamental to its growth and competitive positioning. By optimizing licensing operations and product solutions, this role contributes directly to revenue generation (through subscriptions and transactional sales) and customer satisfaction. The focus on AI and automation also drives long-term efficiency and scalability, crucial for Amazon's business model.

Growth Opportunities:

• Leadership Advancement: Potential to move into senior management roles within Prime Video's Content Acquisition, Product Management, or broader Operations teams, managing larger teams and more complex strategic initiatives.

• Specialization: Deepen expertise in AI-driven operations, product strategy for media platforms, or international market expansion within Prime Video.

• Cross-Functional Mobility: Opportunities to move into related areas such as business development, strategic partnerships, or general management within Amazon's vast ecosystem.

• Skill Development: Continuous learning opportunities in cutting-edge AI technologies, advanced analytics, and evolving digital media business models.

📝 Enhancement Note: Amazon offers numerous avenues for career progression. For a role like this, growth typically involves increasing scope of responsibility, team leadership, and strategic influence. The emphasis on AI and product strategy aligns with Amazon's long-term vision, offering opportunities to develop in high-demand areas.

🌐 Work Environment

Office Type: This role is based in Culver City, California, within Amazon's Prime Video offices. This environment is likely a modern, corporate office setting designed to foster collaboration and innovation. It will be an on-site role, requiring physical presence in the office.

Office Location(s): The primary work location is Culver City, California. Amazon has a significant presence in the Los Angeles area, leveraging the entertainment industry hub.

Workspace Context:

• Collaborative Environment: Expect an open-plan or hybrid office layout designed to encourage interaction between teams. Access to meeting rooms and collaborative spaces will be readily available.

• Operations Tools & Technology: The workspace will be equipped with standard office technology, high-speed internet, and access to Amazon's internal systems, cloud infrastructure (AWS), and specialized software for project management, communication, and analytics.

• Team Interaction: Opportunities for regular face-to-face interaction with team members, cross-functional colleagues, and leadership, fostering a dynamic and engaged work environment.

Work Schedule: While the standard is 40 hours per week, the fast-paced nature of the digital entertainment industry and Amazon's culture means that flexibility and adaptability to evolving project needs and global time zone differences (for international collaboration) are essential. This might involve occasional early morning or late afternoon calls.

📝 Enhancement Note: Amazon's office environments are generally designed to support productivity and collaboration. For an on-site role in Culver City, candidates can expect a professional setting within a major hub for the entertainment industry. The emphasis on collaboration and technology integration is typical for a company of Amazon's stature.

📄 Application & Portfolio Review Process

Interview Process: Amazon's interview process is known for its rigor and focus on behavioral and situational questions aligned with their Leadership Principles. Expect multiple rounds:

• Initial Screen: A recruiter or hiring manager will conduct a preliminary phone screen to assess basic qualifications and fit.

• Phone/Video Interviews: Typically 1-2 rounds with hiring managers and team members, focusing on behavioral questions related to Amazon's Leadership Principles (e.g., Customer Obsession, Ownership, Bias for Action, Dive Deep, Invent and Simplify) and technical/situational questions about product strategy, project management, and operations.

• On-site (or Virtual On-site) Loop: A series of interviews (often 4-6) with various stakeholders, including peers, managers, and potentially senior leaders. This loop will heavily feature behavioral questions, scenario-based problem-solving, and deep dives into your experience and portfolio.

• Portfolio Review: Expect to present specific examples from your portfolio during the interview loop, particularly when discussing project management, product strategy, and operational improvements. Be prepared to walk interviewers through your thought process, challenges, and outcomes.

Portfolio Review Tips:

• Quantify Everything: Use data and metrics to demonstrate the impact of your work. For operations roles, this means showcasing efficiency gains, cost savings, improved throughput, reduced error rates, or enhanced customer satisfaction scores.

• Structure Your Stories (STAR Method): For behavioral questions, use the Situation, Task, Action, Result (STAR) method. For portfolio presentations, structure your case studies similarly, clearly outlining the problem, your approach, the actions taken, and the measurable results.

• Highlight Operations & Product Synergy: Since this role bridges product strategy and operations, clearly articulate how your operational improvements supported product goals, or how product decisions influenced operational strategy.

• Focus on "Invent and Simplify": Showcase instances where you identified complex problems and developed simple, scalable solutions, especially those involving technology or automation.

• Demonstrate Leadership Principles: Weave examples of Amazon's Leadership Principles into your portfolio presentations and answers. For example, how you took ownership, demonstrated bias for action, or dived deep into a problem.

Challenge Preparation:

• Problem-Solving Scenarios: Be prepared for hypothetical scenarios related to content licensing, operational bottlenecks, product feature prioritization, or stakeholder conflicts.

• Process Design Exercises: You might be asked to outline a process for a specific operational task or suggest improvements to an existing one.

• Strategic Thinking: Practice articulating your strategic approach to complex business challenges, considering market dynamics, customer needs, and operational feasibility.

• AI/LLM Application: If you claim expertise in AI/LLMs, be ready to discuss practical applications in operations or product strategy, including prompt engineering examples.

📝 Enhancement Note: Amazon's interview process is designed to assess not only skills but also cultural fit and alignment with their unique leadership principles. Candidates must be prepared to articulate their experience with concrete examples and demonstrate a proactive, results-oriented mindset.

🛠 Tools & Technology Stack

Primary Tools:

• Project & Program Management Software: Tools like Asana, Jira, Trello, or Amazon's internal equivalents for task tracking, workflow management, and project timelines.

• Product Management Tools: Platforms for roadmapping, feature prioritization, and requirements documentation (e.g., Aha!, Productboard, Jira).

• Collaboration Suites: Microsoft Office Suite (Word, PowerPoint) or Google Workspace for documentation and presentations.

Analytics & Reporting:

• SQL: Essential for querying databases and extracting data for analysis.

• Excel: Advanced proficiency for data manipulation, analysis, and creating reports/dashboards.

• Business Intelligence (BI) Tools: Experience with tools like Tableau, Power BI, or Amazon's internal BI platforms for data visualization and reporting.

• Web Analytics Tools: Potentially Google Analytics or similar platforms for understanding user behavior on digital platforms.

CRM & Automation:

• CRM Systems: While not explicitly mentioned, familiarity with CRM principles (e.g., Salesforce) might be beneficial for understanding customer data flows, though less central than for a pure sales ops role.

• Automation Tools: Experience with workflow automation platforms or scripting languages for automating operational tasks.

• AI/ML Platforms: Familiarity with AI/ML concepts and potentially specific platforms or services (e.g., AWS AI services) for implementing automation and generative AI solutions. Prompt engineering skills are specifically called out.

📝 Enhancement Note: The emphasis on SQL and Excel is standard for analytical roles. The explicit mention of AI, generative AI, prompt engineering, and LLMs indicates a strong preference for candidates who can leverage these advanced technologies to drive operational efficiency and product innovation within Prime Video. Familiarity with AWS services would also be a significant advantage.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: A fundamental principle at Amazon. Decisions and actions should always start with the customer (both internal and external) in mind. For this role, it means optimizing processes for content creators and ensuring a seamless experience for Prime Video customers.

• Ownership: Taking full responsibility for initiatives, projects, and outcomes, even when facing ambiguity or challenges. This means proactively identifying issues and driving solutions.

• Bias for Action: A preference for making decisions and taking action quickly, even with incomplete information, and then iterating. This contrasts with over-analysis.

• Invent and Simplify: Constantly seeking ways to innovate and find simpler, more efficient solutions to complex problems, often leveraging technology.

• Dive Deep: A commitment to understanding issues at their core, using data and critical thinking to get to the root cause.

Collaboration Style:

• Cross-functional Integration: Highly collaborative, working closely with diverse teams across product, engineering, legal, finance, and business development. Effective communication and negotiation skills are key.

• Process Review & Feedback: A culture of continuous improvement where processes are regularly reviewed, and constructive feedback is sought and given to drive better outcomes.

• Knowledge Sharing: Openness to sharing learnings, best practices, and insights across teams to foster collective growth and efficiency.

📝 Enhancement Note: Amazon's 16 Leadership Principles form the bedrock of its culture. Candidates must demonstrate alignment with these principles in their experience and interview responses. For this role, Customer Obsession, Ownership, Bias for Action, Invent and Simplify, Dive Deep, and Earn Trust are particularly relevant.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Ambiguity: The role requires working with complex, often undefined problems in a rapidly evolving industry. Developing strategies and solutions in such environments is a key challenge.

• Balancing Strategy and Execution: Juggling high-level strategic planning with the day-to-day operational demands of managing projects and processes.

• Cross-functional Alignment: Gaining buy-in and driving consensus among multiple stakeholders with potentially competing priorities.

• Rapid Technological Evolution: Keeping pace with advancements in AI, generative AI, and digital media technologies and integrating them effectively into operations.

• Global Scale Complexity: Managing operations and strategy that span multiple international markets, each with unique regulations, customer preferences, and business dynamics.

Learning & Development Opportunities:

• Operations Skill Advancement: Deepen expertise in process optimization, automation, and operational strategy within a leading digital entertainment platform.

• Industry Conferences & Certifications: Opportunities to attend industry events (e.g., related to media, technology, AI) and pursue relevant certifications.

• Mentorship & Leadership Development: Access to mentorship programs and leadership development resources within Amazon, fostering career growth towards senior management roles.

• Exposure to Cutting-Edge Tech: Hands-on experience with AI, LLMs, and prompt engineering, positioning the candidate at the forefront of technological innovation in operations.

📝 Enhancement Note: The challenges presented are typical of senior roles in dynamic tech companies. Successfully navigating these challenges offers significant opportunities for professional growth and skill development, particularly in areas like AI integration and strategic leadership.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you led a complex, ambiguous project from conception to completion. What was your approach, how did you manage stakeholders, and what were the key results?" (Tests Ownership, Bias for Action, Dive Deep)

• "How would you approach developing a product roadmap for Prime Video Direct, considering both operational efficiency and creator experience?" (Tests Product Management, Customer Obsession, Invent and Simplify)

• "Imagine a significant bottleneck in our content licensing workflow. How would you identify the root cause, propose a solution, and implement it across global teams?" (Tests Dive Deep, Problem-Solving, Operations Management)

• "How have you used data to inform a strategic decision or drive operational improvement? Provide a specific example." (Tests Dive Deep, Data Analysis)

Company & Culture Questions:

• "Why are you interested in Amazon and Prime Video specifically?" (Assess alignment with company mission and values)

• "How do you handle conflicting priorities from different stakeholders?" (Tests Earn Trust, Stakeholder Management)

• "Describe a time you had to influence someone without direct authority." (Tests Influence, Communication)

Portfolio Presentation Strategy:

• Structure: For each portfolio example, clearly state the Situation, your Task, the Actions you took, and the Results (STAR method).

• Quantify Impact: Use numbers, percentages, and KPIs to demonstrate the success of your projects. Focus on metrics relevant to operations (efficiency, cost savings, throughput) and product (adoption, satisfaction, revenue contribution).

• Highlight Process Innovation: Emphasize where you identified inefficiencies and implemented simpler, more scalable solutions, especially those involving automation or AI.

• Showcase Collaboration: Detail how you worked with cross-functional teams and managed diverse stakeholder expectations.

• Be Ready for Deep Dives: Interviewers will probe details. Know your projects inside and out, including the data, the challenges, and the decision-making process.

📝 Enhancement Note: Amazon interviews are heavily weighted towards behavioral questions and assessing alignment with their Leadership Principles. Candidates must prepare specific, data-backed examples that demonstrate these principles in action, particularly in product strategy, project management, and operational contexts.

📌 Application Steps

To apply for this operations position:

• Submit your application through the official Amazon Jobs portal via the provided URL.

• Portfolio Customization: Tailor your resume and cover letter to highlight experience in product strategy, licensing operations, AI/LLM application, and complex project management, using keywords from the job description. Prepare 2-3 key portfolio projects that best exemplify your capabilities in these areas, focusing on quantifiable operational improvements and strategic impact.

• Resume Optimization: Ensure your resume clearly details your years of experience, specific accomplishments (using action verbs and metrics), and proficiency with relevant tools (SQL, Excel, BI tools, AI/LLM experience). Highlight end-to-end ownership and cross-functional leadership.

• Interview Preparation: Practice answering behavioral questions using the STAR method, focusing on Amazon's Leadership Principles. Prepare to present your portfolio projects in detail, articulating your thought process, challenges, and measurable results. Research Prime Video's current strategy and market position.

• Company Research: Familiarize yourself with Amazon's Leadership Principles, Prime Video's business model (SVOD, TVOD, AVOD), and recent news or strategic initiatives related to content acquisition and technology adoption.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.