Level

Amazon

Principal PMT - International, Prime Video Personalization & Discovery

Amazon is hiring a Principal PMT - International, Prime Video Personalization & Discovery in Hyderabad, India. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions AI evaluation, NLP and product management among its tools and skills.
  • Level classes it as an executive role.
  • Amazon has 21,000+ other open roles on Level.

AI in this role

Lead product vision and strategy for ML-powered content discovery and personalization in international markets for Prime Video.

ai-evaluationnlpproduct-managementmachine-learningpersonalizationcross-functional-leadership
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, 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 Tech PM, 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!

We are looking for an experienced Principal Product Manager Tech to own the vision, strategy, and roadmap for personalized content discovery for various international markets. You will operate at the intersection of machine learning, customer experience, and business strategy, leading fast-paced, high-impact projects and partnering with experts in data science, ML engineering, and customer experience to ship ML-powered features at scale.

Qualifications:
* The ideal candidate would have demonstrably thrived in a high growth environment and delivered broadly adopted technology products or services
* They would be a strong leader who can prioritize well, communicate clearly and compellingly with stakeholders, partners and leaders, and understand how to drive a high level of focus and excellence
* They would have keen business sense together with a deep understanding of technology
* They would have experience defining products, mapping requirements to engineering functional specifications, leading large cross functional and cross organizational efforts, and delivering at high scale
* 10+ years of technical Product Management experience, or 7+ years of PM experience and 3+ years of Engg experience.
* Bachelor's degree
* Experience with feature delivery and tradeoffs of a product
* Experience owning/driving roadmap strategy and definition
* Experience leading engineering discussions around technology decisions and strategy related to a product

This role is ideal for a PM with deep experience in the intersection of Personalization and Media Streaming experiences, who anchors every decision in customer value and measurable business outcomes. You will formulate the product and science vision for your domain, translate ambiguous customer and business problems into clear algorithmic objectives and technical requirements, and guide sound science decisions throughout the ML lifecycle—from problem framing and data strategy through experimentation, deployment, and ongoing optimization. Throughout, you’ll ensure that complex algorithmic capabilities become intuitive, high-quality customer experiences.

Key job responsibilities
* Own the roadmap and strategy for personalization products for INTL territories, including recommendation systems and ML/science-based models.
* Collaborate with business leaders, other PMs and Applied Scientists to translate business problems into model requirements and convert them into clear algorithmic objectives, metrics, and guardrails.
* Define, track, and analyze key metrics to measure recommendation quality, customer outcomes, and business impact; analyze user behavior data to identify opportunities to improve personalization.
* Lead A/B testing strategy and experimentation to validate algorithmic improvements and inform roadmap decisions.
* Partner with stakeholder teams to understand business needs and translate them into technical specifications and prioritized work.
* Communicate complex technical and algorithmic concepts clearly to senior leadership and cross-functional partners.
* Balance trade-offs between model complexity, latency, scalability, and business value to ensure robust, production-ready solutions.

Basic Qualifications

* 10+ years of technical product management or 7+ years of PM and 3+ years of Eng experience.
* 6+ years of end to end product delivery experience
* Bachelor's degree, Masters Preferred
* Experience with feature delivery and tradeoffs of a product
* Experience owning/driving roadmap strategy and definition
* Experience managing consumer-facing products where ML directly impacts user experience and engagement.
* Experience leading science and technology discussions and influencing strategy for ML- or science-driven products.
* Background in an applied science, engineering, or quantitative field, with a solid understanding of the model lifecycle, data readiness, and model evaluation frameworks.

Preferred Qualifications

* Experience in content discovery, e-commerce, search, or recommendation systems
* Knowledge of modern ML techniques (deep learning, NLP, LLM, Agentic AIs) and their practical trade-offs.
* Strong leadership skills with ability to influence cross-functional teams
* Experience working with senior-level stakeholders
* Experience in project management methodologies, business analysis, or process improvement



Basic qualifications

- 8+ years of technical product or program management experience
- Experience with feature delivery and tradeoffs of a product
- 6+ years of end to end product delivery experience
- Experience owning/driving roadmap strategy and definition
- Experience leading engineering discussions around technology decisions and strategy related to a product
- Bachelor's degree

Preferred qualifications

- Experience in project management methodologies, business analysis, or process improvement
- Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics
- Experience as a strong leader who can prioritize well, communicate clearly and effectively influence across cross-functional teams
- Experience working with and influencing senior level stakeholders
- Experience building machine learning models or developing algorithms for business application

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.

How we rate this

Principal PMT - International, Prime Video Personalization & Discovery at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI EvaluationNLPProduct ManagementMachine learningPersonalizationCross Functional Leadership

Questions you could be asked

  1. How do you decide that one model's output is better than another's for a given task?
  2. What NLP problem have you worked on, and how did you measure whether it actually worked?
  3. Tell me about a project where product management was part of your work. What did you do?
  4. Tell me about a project where machine learning was part of your work. What did you do?
  5. Tell me about a project where personalization was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Evaluation, NLP, Product Management, Machine learning, and Personalization. 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.

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