applied scientist, prime video - content localization, understanding & enrichment

applied scientist, sponsored products and brands

principal product manager - tech, amazon games genai & strategic initiatives

data scientist, product analytics Jobs in Seattle

data scientist, product analytics

applied scientist, prime video - content localization, understanding & enrichment Jobs in Seattle

applied scientist, sponsored products Jobs in Seattle

applied scientist, sponsored products

applied scientist, sponsored products and brands Jobs in Seattle

principal product manager - tech, amazon games genai & strategic initiatives Jobs in Seattle

applied scientist sponsored products and brands

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.<br>
<br>
Calling all inventors to work on exciting new opportunities in Sponsored Products. We are a highly motivated, collaborative and fun-loving group with an entrepreneurial spirit and bias for action.<br>
<br>
You will join a newly-founded team with a broad mandate to experiment and innovate, with a focus on driving growth of sponsored products ad experiences across Amazon stores worldwide. This broad charter gives us the flexibility to explore and apply scientific techniques to novel product problems. You will have the satisfaction of seeing your work improve the experience of millions of Amazon shoppers worldwide while driving quantifiable revenue impact. More importantly, you will have the opportunity to broaden your technical skills, and be a science leader in an environment that thrives on creativity, experimentation, and product innovation.<br>
<br>
Key job responsibilities<br>
<ul><li>Tackle and solve challenging science and business problems that balance the interests of advertisers, shoppers, and Amazon.</li><li>Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.</li><li>Develop real-time machine learning algorithms to allocate billions of ads per day in advertising auctions.</li><li>Develop efficient algorithms for multi-objective optimization using deep learning methods to find operating points for the ad marketplace then evolve them</li><li>Research new and innovative machine learning approaches.</li><li>Recruit Scientists to the team and provide mentorship.</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
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 &amp; AD&amp;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.</p><br>
USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, Sponsored Products and Brands

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through novel generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace ecosystem. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
<br>
<br>
Key job responsibilities<br>
As a Senior Applied Scientist on our team, you will<br>
<br>
<ul><li>Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build recommendation systems that leverage generative models to develop and improve campaigns.</li><li>You invent and design new solutions for scientifically-complex problem areas and/or opportunities in new business initiatives.</li><li>You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You take ownership of these components, providing a system-wide view and design guidance. These systems or solutions can be brand new or evolve from existing ones.</li><li>Define a long-term science vision and roadmap for our Sponsored Brands advertising business, driven from our customers' needs, translating that direction into specific plans for applied scientists and engineering teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.</li><li>Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end;</li><li>Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses;</li><li>Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems</li><li>Effectively communicate technical and non-technical ideas with teammates and stakeholders;</li><li>Translate complex scientific challenges into clear and impactful solutions for business stakeholders.</li><li>Mentor and guide junior scientists, fostering a collaborative and high-performing team culture.</li><li>Stay up-to-date with advancements and the latest modeling techniques in the field
</li></ul><br>
About the team<br>
We are on a mission to make Amazon the best in class destination for shoppers to discover, engage, and purchase relevant products, from brands that are relevant to them. In this role, you will design and implement Gen AI solutions that help millions of advertisers create more effective ad campaigns with intelligent recommendations, while improving the overall experience at Amazon's global scale.
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
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 &amp; AD&amp;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.</p><br>
USA, NY, New York - 183,800.00 - 248,700.00 USD annually<br>
USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually</div><p></p>

Senior Applied Scientist, Sponsored Products and Brands

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
About Sponsored Products and Brands<br>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.<br>
<br>
About our team<br>
The SPB Offsite team builds solutions to extend campaigns to reach customers off the store and extend shopping experiences on third party sites where shoppers search and discover products. We use industry leading machine learning, high scale low latency systems, and AI technologies to create better sponsored customer experiences off the store. This role will have deep interest in building the next innovations in ad tech and shopping wherever shoppers go. You will work with external and internal partners to connect ad tech systems, understand customers, and drive results at scale. You are a deeply technical leader who operates with a GenAI first approach to product, engineering, and science based solutions.<br>
<br>
As an Applied Scientist on this team, you will:
<br>
<ul><li>Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.</li><li>Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.</li><li>Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.</li><li>Run A/B experiments, gather data, and perform statistical analysis.</li><li>Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.</li><li>Research new and innovative machine learning approaches.</li></ul><br>
Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon&rsquo;s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.<br>
<br>
Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in professional software development</li><li>Experience in search advertising, search marketing, performance advertising, or similar digital advertising</li><li>Strong technical fluency in Generative AI</li><li>Deep understanding of large language models (LLMs), model fine tuning and prompt engineering</li><li>Ph.D. in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
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 &amp; AD&amp;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.</p><br>
USA, NY, New York - 172,400.00 - 223,400.00 USD annually<br>
USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually<br>
USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, Sponsored Products

Andiamo

<div>
 Data Scientist &ndash; Product &amp; AI
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are looking for a
 <strong>
  Data Scientist
 </strong>
 to help solve complex, high-impact problems in product development and AI. You will work with
 <strong>
  large-scale, high-dimensional data sets
 </strong>
 , applying statistical methods, machine learning, and experimentation to guide product decisions and improve user experiences. Your insights will influence the direction of features, platforms, and strategies used by thousands of organizations.
 <br/>
 <br/>
 As a mid-level data scientist, you&rsquo;ll own projects end-to-end: defining success metrics, designing experiments, building predictive models, and communicating findings to cross-functional partners. You&rsquo;ll collaborate with product managers, engineers, and designers to turn raw data into actionable insights that drive measurable business and product outcomes.
 <br/>
 <br/>
 This role is a chance to move beyond dashboards&mdash;you&rsquo;ll uncover patterns, tell compelling stories with data, and contribute to building scalable data science practices that push the boundaries of what&rsquo;s possible.
 <br/>
 <br/>
 What You&rsquo;ll Do
 <br/>
 <br/>
 <ul>
  <li>
   Apply Analytical Methods: Use statistical modeling, machine learning, and data visualization to extract insights and guide product strategy.
  </li>
  <li>
   Experiment &amp; Learn: Design, run, and analyze A/B tests and other experiments to evaluate product changes and quantify impact.
  </li>
  <li>
   Build Predictive Models: Develop models that forecast user behavior, product performance, and key metrics.
  </li>
  <li>
   Define Success Metrics: Establish clear goals and KPIs that align product teams around measurable outcomes.
  </li>
  <li>
   Collaborate Across Teams: Partner with engineers, designers, and product leaders to ensure insights are translated into impactful features.
  </li>
  <li>
   Communicate Findings: Present results and recommendations to stakeholders, framing technical insights in clear, actionable terms.
  </li>
  <li>
   Contribute to Data Platforms: Work with engineering partners to improve data pipelines, instrumentation, and experimentation frameworks.
   <br/>
   <br/>
  </li>
 </ul>
 What We&rsquo;re Looking For
 <br/>
 <br/>
 <ul>
  <li>
   Professional Experience: Around 5 years of applied data science experience in product analytics, business intelligence, or machine learning.
  </li>
  <li>
   Programming Skills: Proficiency in SQL and Python (or R) for data manipulation, modeling, and analysis.
  </li>
  <li>
   Experimentation: Familiarity with experimental design, causal inference, and A/B testing at scale.
  </li>
  <li>
   Statistical Foundation: Strong grounding in probability, statistics, and data-driven problem solving.
  </li>
  <li>
   Communication: Ability to clearly present technical analyses to non-technical audiences and drive alignment on decisions.
  </li>
  <li>
   Education: Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, Engineering, or related field; Master&rsquo;s degree a plus.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working with product teams or SaaS platforms.
  </li>
  <li>
   Knowledge of ML frameworks (scikit-learn, TensorFlow, or PyTorch) and data visualization tools (Tableau, Looker, or similar).
  </li>
  <li>
   Exposure to cloud data environments (AWS, GCP, or Azure).
   <br/>
   <br/>
  </li>
 </ul>
 ✨
 <strong>
  Why Join
 </strong>
 : This is your chance to tackle challenging data problems in AI and product development. You&rsquo;ll apply advanced methods, work with talented colleagues, and contribute to products that affect millions of users and billions of data points&mdash;all while growing your skills and career.
 <br/>
 <br/>
 <strong>
  About Andiamo
  <br/>
  <br/>
 </strong>
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 <br/>
 <br/>
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 <br/>
 <br/>
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>


Data Scientist - Global Tech Leader

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon is building a world class advertising business and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. Our products are strategically important to our retail and marketplace businesses, driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are a highly motivated, collaborative group with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate with a seemingly endless range of new ideas and opportunities.<br>
<br>
Key job responsibilities<br>
We are looking for an software dev engineer for the Conversational Ad Experiences (CAX) team within Sponsored Products and Brands (SPB). SPB helps merchants, retail vendors, and brand owners grow incremental sales of their products on Amazon through native product advertising. The CAX team focuses on sponsored conversational shopping experiences powered by large language models (LLMs). The team is working on multiple 'industry first' projects which are ambiguous and challenging, but they offer the opportunity to have a significant impact on both our shoppers and business.
<br>
<br>
As an engineer on the team, you will:<br>
<ul><li>Drive major product and engineering initiatives, build large-scale, low-latency distributed systems, build ML infrastructure and data processing pipelines.
</li><li>Partner with our science team to implement LLM models in production, and also contribute to LLMOps.
</li><li>Design, build, and operate key pieces of customer facing functionality impacting hundreds of millions of Amazon shoppers worldwide.</li></ul><br>
About the team<br>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
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 &amp; AD&amp;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.</p><br>
USA, NY, New York - 158,100.00 - 213,800.00 USD annually<br>
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer, Conversational Ads Experience

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Ads enables businesses all sizes to showcase their products and their brand to customers shopping on and off Amazon across the world. A fast-growing, innovative, and strategically important function of the wider business, Amazon Ads continues to evolve through new products and advertising capabilities. To this end, we have developed self-service advertising products that integrate advertising into the shopping experience from discovery to purchase. We are dedicated to delivering solutions that delight shoppers while enabling businesses to not only sell their products on Amazon, but help our customer&rsquo;s grow awareness of their brand, inspire discovery, and increase brand loyalty.<br>
<br>
A strategically important part of our charter is to help small &amp; mid-sized businesses (SMBs) reach new audiences and accelerate business growth through our suite of self-service advertising products (Sponsored Products, Sponsored Brands, Sponsored Display, Brand Stores, and Sponsored TV). Our team is tasked with building marketing programs that increase awareness of our ad solutions while solving for key customer pain points that accelerate product adoption and ensure advertiser success.<br>
<br>
Specifically, we are looking for a high performing Sr. Marketing Manager who will own the development, execution, and impact of our marketing &amp; creative programs for Sponsored Products. As a Sr. Creative Marketer, you will be responsible for the development of strategy and own end-to-end content creation with a focus on mid/long form marketing &amp; educational content (written &amp; video). In this role, your campaigns will help SMB advertisers to overcome key barriers to entry, and ensure they have access to easily discoverable educational content that builds best practices and advertiser success.<br>
<br>
The ideal candidate for this role can think strategically and execute flawlessly. You will bring your proven creative, analytical and project management capabilities to imagine, plan, implement, and optimize compelling campaigns that drive advertiser acquisition and retention. To be successful you&rsquo;ll need to be a strong communicator who can earn trust with key stakeholders across multiple teams. You will be excited to test and learn in a data driven environment, and enthusiastic about using customer data and insights to deliver impact across multiple marketing channels. You should be comfortable with ambiguity and are willing to work autonomously, handling multiple initiatives simultaneously. If you are data-driven, detail-oriented, and passionate about creating compelling experiences through marketing, this is a great role for you. Experience working directly with sellers, in either a retail or advertising capacity, is welcomed.<br>
<br>
Key job responsibilities<br>
<ul><li>Define the overall SMB marketing &amp; creative strategy to increase awareness and utilization of Sponsored Products (audience segmentation, creative/content strategy, channel strategy, and marketing calendar)</li><li>Create on-brand, best in class content, tailored to appropriate customers to effectively build acquisition campaigns</li><li>Own end-to-end campaign management from ideation to execution and measurement</li><li>Audit existing content and identify gaps in content assets</li><li>Work across Marketing Managers, Content Creators, Designers, Program Managers, and business leadership to align channel initiatives with cross-functional team goals</li><li>Analyze, report on, and optimize against key performance metrics</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree</li><li>7+ years of professional non-internship marketing experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience developing cross-functional relationships with product, consumer research and marketing teams to develop strategy and consumer insights that drive compelling creative executions</li><li>Experience managing creative (internal team of designers, copywriters, external agencies and freelancers)</li><li>Experience presenting creative concepts effectively to senior executives</li><li>Experience managing multiple projects and meeting aggressive deadlines</li><li>Can work proactively and independently, meet deadlines, and deliver on projects and tasks</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
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 &amp; AD&amp;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.</p><br>
USA, NY, New York - 155,400.00 - 210,300.00 USD annually<br>
USA, WA, Seattle - 141,000.00 - 190,700.00 USD annually</div><p></p>

Sr. Marketing Manager, Global SMB, Amazon Ads

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Calling all inventors!<br>
<br>
Amazon is investing heavily in building a world class advertising business and developing a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses for driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.<br>
<br>
Sponsored Products Core Supply Infrastructure team is looking for a Software Development Engineer to build large scale, distributed systems that will bridge the gap between advertiser demand and publisher supply on Amazon. We are developing a first of its kind platform that will allow advertising programs across Amazon to provide our customers with a coherent and holistic product discovery experience across organic and sponsored selection.<br>
<br>
If you are looking to make an impact, this is the team for you. You will not only have the satisfaction of seeing your work directly on the Amazon website where it will be viewed by tens of millions of customers and drive quantifiable revenue impact, but will also have the opportunity to help shape our engineering and product roadmaps. We are not bound by legacy systems and have a broad mandate to experiment, which gives us great flexibility as we design and develop our services. You will have an opportunity to contribute across the full stack, growing and broadening your technical skills as you work in an environment that thrives on creativity, experimentation, and product innovation.<br>
<br>
About the team<br>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.<br>
<br>
We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>1+ years of software development engineer or related occupational experience</li><li>1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>1+ years of Object Oriented Design experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
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 &amp; AD&amp;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.</p><br>
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer, Sponsored Products

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