Sr. Manager, Applied Science, Sponsored Products and Brands

Amazon is hiring a Sr. Manager, Applied Science, Sponsored Products and Brands in Palo Alto, United States. It pays $252k-$340k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
The posting mentions PyTorch, TensorFlow and NLP among its tools and skills.
Level classes it as a senior role.
Amazon has 21,000+ other open roles on Level.
Posted in the last few days.

AI in this role

pytorchtensorflow

nlp

Are you passionate about using AI to protect and elevate the shopping experience for hundreds of millions of customers? We're looking for a Sr. Applied Science Manager to lead the Sponsored Products and Brands, Search Relevance team, ensuring that every product recommendation shoppers see on our search results page is relevant, trustworthy, and genuinely useful. In this role, you'll be at the forefront of defining what a great search experience looks like by inventing entirely new ways to help customers understand why a product matches their needs.

Safeguard the Customer Experience

- Lead the development of predictive models that identify and mitigate irrelevant, misleading, or low-quality product recommendations across search placements
- Design and scale AI-powered systems whose outputs are used to continually improve the search results
- Expand the definition of search quality beyond query-ASIN relevance to encompass shopper preferences, page-level context, and overall experience coherence

Define and Measure Search Quality at Scale
- Own the development and ongoing measurement of customer experience metrics as reported to senior leadership
- Partner with leaders across Search, Retail, and Advertising organizations to align on metric definitions and establish independent measurement standards where needed
- Build scalable measurement frameworks that anticipate evolving search presentation formats and proactively adapt to them

Invest in State-of-the-Art AI Infrastructure
- Drive investment in AI infrastructure and systems that reduce the cost of measuring and monitoring CX metrics across all placements and marketplaces
- Build increasingly precise AI models that minimize human effort for auditing, training data generation, and placement-specific customization
- Make strategic build-vs-reuse decisions by staying closely connected to peer teams across the organization

Invent New Product Experiences
- Create novel product presentation experiences that help shoppers understand the differential value of each result — through intelligent selection of images and titles, contextual explanations, and visual indicators such as badges and tags
- Partner with peer teams to share learnings and advocate for the adoption of successful innovations beyond your immediate scope

Lead and Influence Across the Organization
- Manage and grow a team of applied scientists, engineers, and product managers
- Partner with senior leaders (Director-level and above) across multiple organizations to drive alignment on shared goals and cross-functional initiatives
- Represent search quality and customer experience in executive-level reviews and reporting cadences

Basic qualifications

* PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field, or Master's degree with 10+ years of applied science experience
* 8+ years of hands-on experience building and deploying AI models in production systems at scale, with a focus on NLP, information retrieval, or recommendation systems
* 5+ years of experience managing and growing teams of applied scientists and/or machine learning engineers, including hiring, mentoring, and career development
* Demonstrated track record of leading end-to-end AI projects from problem formulation through deployment, measurement, and iteration in a large-scale consumer-facing product
* Strong technical depth in relevance modeling, ranking systems, or search quality evaluation, with experience defining and operationalizing customer experience metrics
* Experience partnering with cross-functional teams (engineering, product, business) to align on shared goals, influence roadmaps, and drive organizational alignment
* Proficiency in modern ML frameworks (e.g., PyTorch, TensorFlow) and large-scale data processing technologies (e.g., Spark, distributed computing)
* Proven ability to communicate complex technical concepts and results to senior leadership (Director-level and above), including through executive-level reviews and business reporting cadences

Preferred qualifications

* Experience with large language models (LLMs), multimodal AI, or foundation models applied to search, content understanding, or product classification
* Track record of inventing novel customer-facing product experiences — such as intelligent content selection, contextual explanations, badges, or visual indicators — and driving them from concept to launch
* Deep expertise in search quality measurement methodologies, including human evaluation frameworks, automated annotation pipelines, and scalable auditing systems that reduce reliance on manual effort
* Experience building AI-powered measurement and monitoring infrastructure that operates across multiple marketplaces, placements, or surface areas
* Familiarity with the advertising ecosystem, including sponsored products, sponsored brands, and the interplay between organic and paid search results
* Demonstrated success making strategic build-vs-reuse decisions and establishing shared platforms or frameworks adopted by peer teams across an organization
* Experience defining independent measurement standards and establishing metric alignment across organizations with potentially competing incentives (e.g., Search, Retail, Advertising)
* Published research in top-tier venues (e.g., KDD, NeurIPS, SIGIR, WWW, ICML) in areas relevant to information retrieval, recommendation systems, or applied NLP
* Experience leading teams of 10+ individuals across multiple disciplines (applied science, engineering, product management) with a strong culture of scientific rigor and customer obsession

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, Palo Alto - 251,600.00 - 340,300.00 USD annually

How we rate this

Sr. Manager, Applied Science, Sponsored Products and Brands at Amazon rates 86 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ 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.

Key facts

Sr. Manager, Applied Science, Sponsored Products and Brands is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $252k-$340k a year.
The role is based in US, CA, Palo Alto.
The job was posted on October 26, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

NLPPyTorchTensorFlow

Questions you could be asked

What NLP problem have you worked on, and how did you measure whether it actually worked?
Walk me through how you've used PyTorch in your day-to-day work.
What are the limits of TensorFlow that you've run into, and how did you work around them?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: NLP, PyTorch, and TensorFlow. 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.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.

Get a free CV review Get your CV rewritten Check your resume with the ATS resume checker