308 Advertiser jobs in the United States

**Position Purpose:**
The Analyst, Platform Activations role welcomes new self-service advertisers into the Retail Media+ platform ecosystem; The key goal of the position is manage relationships with self-service advertisers, including training and ongoing strategic advice; Additionally, this role will work across the Platform Solutions and Ad Ops teams to ensure that each of our platforms is optimized for ease of onboarding and provides an excellent customer service experience to our suppliers; Using discretion and independent judgment to make recommendations to suppliers on how best to maximize their investment in retail media at Home Depot
**Key Responsibilities:**
+ 15% Collaboration - Actively contribute to team meetings and collaborate with various stakeholders on shared goals. Includes providing platform training to cross-functional groups.
+ 70% Managing Supplier Relationship - Manage supplier relationship in Retail Media+ platform, including onboarding suppliers into the system, identifying strategic opportunities aligned with business goals, making recommendations to suppliers, and problem-solving. Includes building, implementing, and routinely evaluating processes and platforms in partnership with cross-functional teams.
+ 15% Platform Troubleshooting - Identify technological, operational, or other challenges with various platforms and recommend creative solutions aligned with business goals.
**Direct Manager/Direct Reports:**
+ This Position typically reports to Manager, Sales Support
+ This Position has 0 Direct Reports
**Travel Requirements:**
+ No travel required.
**Physical Requirements:**
+ Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
**Working Conditions:**
+ Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
**Minimum Qualifications:**
+ Must be eighteen years of age or older.
+ Must be legally permitted to work in the United States.
**Preferred Qualifications:**
+ Working knowledge of Microsoft Office Suite
+ Ability to draw accurate conclusions from financial documentation
+ Demonstrated project management skills
+ Ability to convey complex or technical ideas and processes in easy-to-understand terms to diverse audiences
+ Ability to negotiate, handle complaints, settle disputes, and resolve grievances with both internal and external customers
+ Excellent written and verbal communication skills
+ Experience in Digital Media with experience in retail, e-commerce and on-site advertising products preferred
+ Previous experience working with large established digital properties and platforms (Facebook, YouTube, etc.) and experience with newer or niche properties a major plus
+ Agency or brand marketing experience
+ Account Management Experience
+ Previous experience with retail websites, ecommerce and analytics
+ Marketing/ad tech experience is highly desirable
+ Solid understanding of technical pieces of digital marketing such as website analytics, audiences, data feeds, tracking codes, etc. Proven record of having worked with major consumer brands and knowing how to support
+ Exhibits Professionalism in dealing with professional
**Minimum Education:**
+ The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.
**Preferred Education:**
+ No additional education
**Minimum Years of Work Experience:**
+ 1
**Preferred Years of Work Experience:**
+ No additional years of experience
**Minimum Leadership Experience:**
+ None
**Preferred Leadership Experience:**
+ None
**Certifications:**
+ None
**Competencies:**
+ Action Oriented
+ Collaborates
+ Manages Complexity
+ Communicates Effectively
+ Customer Focus
+ Drives Results
+ Manages Conflict
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

**Summary:**
We are seeking a highly experienced Product Manager with over 10 years of experience to lead and drive Opportunity score(recently launched to General Availability) model development and Guidance Ranking as part of a key monetization priority.This role will focus on defining and leading the following areas: - Opportunity Score formulation and stability across all advertiser segments and surfaces they will interact with Meta advertising- Guidance ranking to ensure the most relevant and impactful guidance is shown at the right time. - Guidance measurement, experimentation framework and lifecycle management ensuring long term value to advertisers .- Metric development for Guidance and Opportunity Score impact on advertisers and Meta
**Required Skills:**
Product Manager - Advertiser Guidance Responsibilities:
1. Strategic Leadership: Lead the development and implementation of Opportunity score as a metric supporting Sales and Advertiser use cases
2. Product Development: Manage the end-to-end product lifecycle for guidance ranking and OS score from ideation to launch. Focusing on guidance experimentation methodologies and post adoption impact, how guidances are incorporated into OS models, ensuring OS metric and pipeline stability, robustness and long term relationship to revenue and performance
3. Cross-Functional Collaboration: Work closely with engineering, data science, design, and marketing teams to ensure seamless product delivery and alignment with strategic goals
4. Metrics and Analysis: Develop and refine metrics to measure different guidance impact on Advertisers and to measure OS impact. This will include partnering with the DS team to develop and analyze proxy metrics for iRev, metrics to measure guidance impact, and OS impact
5. Stakeholder Engagement: Engage with internal stakeholders, including the iRev committee, to align on strategic goals and ensure product initiatives meet business needs
6. Innovation and Improvement: Drive continuous improvement in product processes and methodologies, leveraging data-driven insights to enhance product performance and user experience
**Minimum Qualifications:**
Minimum Qualifications:
7. Experience: 10+ years of experience in product management, with a focus on strategic product development and cross-functional leadership
8. Education: Bachelor's degree in Business, Computer Science, or a related field
9. Demonstrated experience in strategic thinking and problem-solving skills
10. Proven track record of great communication and collaboration
11. Proven track record of managing complex projects and driving cross-functional teams
12. Familiarity with experimentation frameworks and metrics development
**Preferred Qualifications:**
Preferred Qualifications:
13. Advertising Skills: Expertise in bidding, ranking, Creative and targeting within advertising technology
14. Machine Learning Skills: Proficiency in ML model development, tuning, and training
15. Masters degree in Business, Computer Science, or a related field
**Public Compensation:**
$202,000/year to $277,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Summary:**
We are seeking a highly experienced Product Manager with over 10 years of experience to lead and drive Opportunity score(recently launched to General Availability) model development and Guidance Ranking as part of a key monetization priority.This role will focus on defining and leading the following areas: - Opportunity Score formulation and stability across all advertiser segments and surfaces they will interact with Meta advertising- Guidance ranking to ensure the most relevant and impactful guidance is shown at the right time. - Guidance measurement, experimentation framework and lifecycle management ensuring long term value to advertisers .- Metric development for Guidance and Opportunity Score impact on advertisers and Meta
**Required Skills:**
Product Manager - Advertiser Guidance Responsibilities:
1. Strategic Leadership: Lead the development and implementation of Opportunity score as a metric supporting Sales and Advertiser use cases
2. Product Development: Manage the end-to-end product lifecycle for guidance ranking and OS score from ideation to launch. Focusing on guidance experimentation methodologies and post adoption impact, how guidances are incorporated into OS models, ensuring OS metric and pipeline stability, robustness and long term relationship to revenue and performance
3. Cross-Functional Collaboration: Work closely with engineering, data science, design, and marketing teams to ensure seamless product delivery and alignment with strategic goals
4. Metrics and Analysis: Develop and refine metrics to measure different guidance impact on Advertisers and to measure OS impact. This will include partnering with the DS team to develop and analyze proxy metrics for iRev, metrics to measure guidance impact, and OS impact
5. Stakeholder Engagement: Engage with internal stakeholders, including the iRev committee, to align on strategic goals and ensure product initiatives meet business needs
6. Innovation and Improvement: Drive continuous improvement in product processes and methodologies, leveraging data-driven insights to enhance product performance and user experience
**Minimum Qualifications:**
Minimum Qualifications:
7. Experience: 10+ years of experience in product management, with a focus on strategic product development and cross-functional leadership
8. Education: Bachelor's degree in Business, Computer Science, or a related field
9. Demonstrated experience in strategic thinking and problem-solving skills
10. Proven track record of great communication and collaboration
11. Proven track record of managing complex projects and driving cross-functional teams
12. Familiarity with experimentation frameworks and metrics development
**Preferred Qualifications:**
Preferred Qualifications:
13. Advertising Skills: Expertise in bidding, ranking, Creative and targeting within advertising technology
14. Machine Learning Skills: Proficiency in ML model development, tuning, and training
15. Masters degree in Business, Computer Science, or a related field
**Public Compensation:**
$202,000/year to $277,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Description**
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
Launched in 2012, Amex Offers is a digital advertising platform that connects Merchants and brands with the tens of millions of American Express Card Members across the globe. The Amex Offers team develops strategic marketing partnerships that deliver unique differentiated value for Merchants and Advertisers to reach these high-spending Card Members in the digital channels where they engage with American Express, delivering deep insights and maximizing results. Through this complete marketing solution, we can help advertisers get laser-focused on who our mutual customers are, what they want, and how we can meet their needs.
We are seeking a commercially minded Manager of US Advertiser Analytics to lead the strategic analytics supporting our merchant partnerships and the adoption/sales of Card-Linker Offer (CLO) / AMEX Offers solutions. In this highly visible and client-facing role, you will work together with Business Development, Customer Success and Product to develop compelling data-driven insights that unlock growth opportunities for merchants, optimize campaign performance, and shape our CLO value proposition.
The successful candidate be a bridge between data and dealmaking - influencing revenue outcomes by helping merchants/advertisers understand the measurable impact of their spend and how CLO programs can drive incremental growth and return on advertising spend.
This role requires a strong focus on defining efficient growth opportunities, critical advertiser-specific nuances, an ability to lead advertiser prioritization and strategic account planning. Core to this is stakeholder management, clear communication, and data-drive perspectives.
Ideal candidates will have analytics or consulting backgrounds, experience directly working with card networks or transaction data and familiarity with CLO platforms affiliate marketing or bank loyalty ecosystems. Leadership experience is highly desirable.
**Key Responsibilities**
+ Act as the analytics lead in strategic merchant / advertiser conversations, providing pre-sales insights, performance forecasts and ROI modelling.
+ Ability to spot under-leveraged audiences, valuable segments, untapped offering constructs and CLO specific trends that drive ROI
+ Understand advertiser's KPI's (Brand lift, ROI, conversion) and how to translate their goals into measurable campaign objectives using 1 st , 2 nd and 3 rd party data.
+ Ability to partner with product, sales, and marketing teams to identify trends, generate hypotheses, and articulate how insights align with advertiser objectives and Amex Offers' overall growth strategy.
+ Deliver post-campaign analysis and insights that quantify lift, incrementality and customer behavior change.
+ Partner closely with Business Development, Customer Success, Product and broader analytics teams to refine and evolve AmEx Offers & Digital Media value proposition.
+ Deliver insights more broadly Influence go-to-market strategies by identifying vertical-specific trends and merchant priorities.
+ Skilled in presenting insights to both technical and non-technical audiences, including senior leadership and external partners.
+ Experience designing and interpreting A/B tests and incrementality studies to understand offer impact and optimize future targeting.
**Minimum Qualifications**
+ 6 years in analytics, consulting or data science roles, with some experience in client-facing, commercial context.
+ Proven experience supporting revenue or sales teams; preferably in Ad Tech, Card-Linked Offers, Payments, or loyalty marketing (airlines, lodging, dining, retail, e-Commerce, entertainment)
+ Expertise in SQL, Excel, and data visualization tools (e.g. Tableau, Power BI, Looker); Python is highly desired.
+ Deep understanding of marketing measurement
+ Strong commercial acumen with the ability to balance statistical rigor with business pragmatism.
**Qualifications**
Salary Range: $90,000.00 to $165,000.00 annually bonus benefits
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.
Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ 6% Company Match on retirement savings plan
+ Free financial coaching and financial well-being support
+ Comprehensive medical, dental, vision, life insurance, and disability benefits
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ 20 weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
For a full list of Team Amex benefits, visit our Colleague Benefits Site .
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
US Job Seekers - Click to view the " Know Your Rights " poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
**Job:** Data Mgmt and Analytics
**Primary Location:** US-New York-New York
**Schedule** Full-time
**Req ID:** 25013282

**Summary:**
We are seeking a highly experienced Product Manager with over 10 years of experience to lead and drive Opportunity score(recently launched to General Availability) model development and Guidance Ranking as part of a key monetization priority.This role will focus on defining and leading the following areas: - Opportunity Score formulation and stability across all advertiser segments and surfaces they will interact with Meta advertising- Guidance ranking to ensure the most relevant and impactful guidance is shown at the right time. - Guidance measurement, experimentation framework and lifecycle management ensuring long term value to advertisers .- Metric development for Guidance and Opportunity Score impact on advertisers and Meta
**Required Skills:**
Product Manager - Advertiser Guidance Responsibilities:
1. Strategic Leadership: Lead the development and implementation of Opportunity score as a metric supporting Sales and Advertiser use cases
2. Product Development: Manage the end-to-end product lifecycle for guidance ranking and OS score from ideation to launch. Focusing on guidance experimentation methodologies and post adoption impact, how guidances are incorporated into OS models, ensuring OS metric and pipeline stability, robustness and long term relationship to revenue and performance
3. Cross-Functional Collaboration: Work closely with engineering, data science, design, and marketing teams to ensure seamless product delivery and alignment with strategic goals
4. Metrics and Analysis: Develop and refine metrics to measure different guidance impact on Advertisers and to measure OS impact. This will include partnering with the DS team to develop and analyze proxy metrics for iRev, metrics to measure guidance impact, and OS impact
5. Stakeholder Engagement: Engage with internal stakeholders, including the iRev committee, to align on strategic goals and ensure product initiatives meet business needs
6. Innovation and Improvement: Drive continuous improvement in product processes and methodologies, leveraging data-driven insights to enhance product performance and user experience
**Minimum Qualifications:**
Minimum Qualifications:
7. Experience: 10+ years of experience in product management, with a focus on strategic product development and cross-functional leadership
8. Education: Bachelor's degree in Business, Computer Science, or a related field
9. Demonstrated experience in strategic thinking and problem-solving skills
10. Proven track record of great communication and collaboration
11. Proven track record of managing complex projects and driving cross-functional teams
12. Familiarity with experimentation frameworks and metrics development
**Preferred Qualifications:**
Preferred Qualifications:
13. Advertising Skills: Expertise in bidding, ranking, Creative and targeting within advertising technology
14. Machine Learning Skills: Proficiency in ML model development, tuning, and training
15. Masters degree in Business, Computer Science, or a related field
**Public Compensation:**
$202,000/year to $277,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Summary:**
We are seeking a highly experienced Product Manager with over 10 years of experience to lead and drive Opportunity score(recently launched to General Availability) model development and Guidance Ranking as part of a key monetization priority.This role will focus on defining and leading the following areas: - Opportunity Score formulation and stability across all advertiser segments and surfaces they will interact with Meta advertising- Guidance ranking to ensure the most relevant and impactful guidance is shown at the right time. - Guidance measurement, experimentation framework and lifecycle management ensuring long term value to advertisers .- Metric development for Guidance and Opportunity Score impact on advertisers and Meta
**Required Skills:**
Product Manager - Advertiser Guidance Responsibilities:
1. Strategic Leadership: Lead the development and implementation of Opportunity score as a metric supporting Sales and Advertiser use cases
2. Product Development: Manage the end-to-end product lifecycle for guidance ranking and OS score from ideation to launch. Focusing on guidance experimentation methodologies and post adoption impact, how guidances are incorporated into OS models, ensuring OS metric and pipeline stability, robustness and long term relationship to revenue and performance
3. Cross-Functional Collaboration: Work closely with engineering, data science, design, and marketing teams to ensure seamless product delivery and alignment with strategic goals
4. Metrics and Analysis: Develop and refine metrics to measure different guidance impact on Advertisers and to measure OS impact. This will include partnering with the DS team to develop and analyze proxy metrics for iRev, metrics to measure guidance impact, and OS impact
5. Stakeholder Engagement: Engage with internal stakeholders, including the iRev committee, to align on strategic goals and ensure product initiatives meet business needs
6. Innovation and Improvement: Drive continuous improvement in product processes and methodologies, leveraging data-driven insights to enhance product performance and user experience
**Minimum Qualifications:**
Minimum Qualifications:
7. Experience: 10+ years of experience in product management, with a focus on strategic product development and cross-functional leadership
8. Education: Bachelor's degree in Business, Computer Science, or a related field
9. Demonstrated experience in strategic thinking and problem-solving skills
10. Proven track record of great communication and collaboration
11. Proven track record of managing complex projects and driving cross-functional teams
12. Familiarity with experimentation frameworks and metrics development
**Preferred Qualifications:**
Preferred Qualifications:
13. Advertising Skills: Expertise in bidding, ranking, Creative and targeting within advertising technology
14. Machine Learning Skills: Proficiency in ML model development, tuning, and training
15. Masters degree in Business, Computer Science, or a related field
**Public Compensation:**
$202,000/year to $277,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

Description
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP organization's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
Agentic Advertiser Guidance team is focussed on guiding and supporting advertisers to meet their advertising needs of creating and managing ad campaigns. Our vision is to build a highly personalized, context aware agentic advertiser guidance that is built using LLMs and tools such as auction simulations, ML and optimization algorithms. This agent will be part of a larger agentic framework, working with chat and non-chat experiences across the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we work closely with stakeholders on Ad Console, and Amazon Sales team, to identify opportunities for the advertiser ranging from guidance across products to granular controls such as keywords and deliver them through a personalized experience.
We are looking for a passionate Senior Applied Scientist who has technical expertise in information retrieval, Large Language Models (LLM), optimization algorithms, Online Advertising, and/or randomized experiments. In addition to having hands-on experience in building ML-based solutions, an ideal candidate should be able to create and articulate a customer-centric science vision, show willingness to continuously learn about new scientific approaches, and enjoy operating in startup-like environment.
Key job responsibilities
- Lead business, science and engineering strategy and roadmap for Sponsored Products Agentic Advertiser Guidance
- Drive alignment across teams for science, engineering, and product strategy to achieve business goals.
- Lead/guide scientists and engineers across teams to develop, test, launch and improve of science models designed to optimize the shopper experience and deliver long term value for Amazon and advertisers
- Develop state of the art experimental approaches and ML models.
Basic Qualifications
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
Preferred Qualifications
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP organization's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
Agentic Advertiser Guidance team is focussed on guiding and supporting advertisers to meet their advertising needs of creating and managing ad campaigns. Our vision is to build a highly personalized, context aware agentic advertiser guidance that is built using LLMs and tools such as auction simulations, ML and optimization algorithms. This agent will be part of a larger agentic framework, working with chat and non-chat experiences across the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we work closely with stakeholders on Ad Console, and Amazon Sales team, to identify opportunities for the advertiser ranging from guidance across products to granular controls such as keywords and deliver them through a personalized experience.
We are looking for a passionate Senior Applied Scientist who has technical expertise in information retrieval, Large Language Models (LLM), optimization algorithms, Online Advertising, and/or randomized experiments. In addition to having hands-on experience in building ML-based solutions, an ideal candidate should be able to create and articulate a customer-centric science vision, show willingness to continuously learn about new scientific approaches, and enjoy operating in startup-like environment.
Key job responsibilities
- Lead business, science and engineering strategy and roadmap for Sponsored Products Agentic Advertiser Guidance
- Drive alignment across teams for science, engineering, and product strategy to achieve business goals.
- Lead/guide scientists and engineers across teams to develop, test, launch and improve of science models designed to optimize the shopper experience and deliver long term value for Amazon and advertisers
- Develop state of the art experimental approaches and ML models.
Basic Qualifications
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
Preferred Qualifications
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP organization's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
Agentic Advertiser Guidance team is focussed on guiding and supporting advertisers to meet their advertising needs of creating and managing ad campaigns. Our vision is to build a highly personalized, context aware agentic advertiser guidance that is built using LLMs and tools such as auction simulations, ML and optimization algorithms. This agent will be part of a larger agentic framework, working with chat and non-chat experiences across the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we work closely with stakeholders on Ad Console, and Amazon Sales team, to identify opportunities for the advertiser ranging from guidance across products to granular controls such as keywords and deliver them through a personalized experience.
We are looking for a passionate Senior Applied Scientist who has technical expertise in information retrieval, Large Language Models (LLM), optimization algorithms, Online Advertising, and/or randomized experiments. In addition to having hands-on experience in building ML-based solutions, an ideal candidate should be able to create and articulate a customer-centric science vision, show willingness to continuously learn about new scientific approaches, and enjoy operating in startup-like environment.
Key job responsibilities
- Lead business, science and engineering strategy and roadmap for Sponsored Products Agentic Advertiser Guidance
- Drive alignment across teams for science, engineering, and product strategy to achieve business goals.
- Lead/guide scientists and engineers across teams to develop, test, launch and improve of science models designed to optimize the shopper experience and deliver long term value for Amazon and advertisers
- Develop state of the art experimental approaches and ML models.
Basic Qualifications
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
Preferred Qualifications
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
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.
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.