What Jobs are available for Advertising in Bellevue?

Are you passionate about making a difference in the world? Look no further!



The Borgen Project is an international organization that works at the political level to improve living conditions for people impacted by war, famine and poverty.



With 20 years of experience in the advocacy space, The Borgen Project has worked to support the passage of numerous bills that have benefitted close to 500 million people in developing countries.



Social Media/Digital Marketing Internship: This is a part-time 12-hours per week, 12 week, unpaid remote internship. If your availability is limited, you can work ahead and complete the program in fewer weeks.



The role focuses on heightening awareness of our work and includes:



Creating a branding campaign.

Conducting an informal focus group and gathering feedback for market research.

Pitching story ideas to print, broadcast and digital media.

Creating and implementing a fundraising strategy.

Planning, marketing and presenting at an informational meeting.

Utilizing social media and developing strategies for web-based messaging.

Assisting with The Borgen Project’s advocacy efforts.

Experience: No prior experience is necessary, we’re looking for people who are passionate about fighting poverty and righting wrongs, regardless of your GPAs/background.



Details: This is an unpaid internship, although college credit is available.



To Apply: Email your CV to



Start Date: New programs begin every month, you choose the month you wish to start.

**Job Title: Advertising Campaign Manager**
**Location: Fully Remote (Domestic US) Must work standard PST core hours**
**Duration: 7 (Potential for extension after the budget approval)**
**Schedule: 40 hours/week; occasional overtime (1-2 times per year during busy events)**
**Pay rate Range: $40 to $45**
**Key Responsibilities**
+ Lead digital marketing campaigns for in-product surfaces (console, PC, mobile).
+ Recommend new campaign ideas and define audience and testing strategies.
+ Drive ongoing testing, measurement, and optimization in partnership with Analytics and Data Science teams.
+ Develop a consistent playbook for campaign and creative communication across internal and external teams.
+ Support go-to-market (GTM) planning by sharing creative executions and reporting on performance.
+ Partner with Product Marketing to align roadmap, audience, and priorities.
+ Collaborate cross-functionally with content, design, operations, and analytics teams.
**Candidate Requirements**
+ **Experience:** 8+ years of experience in product marketing, campaign management, advertising, or digital merchandising.
+ **Education:** Bachelor's degree (required), preferably in Marketing or related field.
+ **Disqualifiers:** Resumes containing typos or spelling errors (detail-oriented role).
+ **Ideal Candidate:**
+ Strong background in ad trafficking or paid ads management.
+ Experience managing web campaigns, websites, and A/B testing.
+ Passionate about gaming - understanding gaming audiences and trends.
**Preferred Qualifications**
+ Proven experience leading digital campaigns with measurable performance improvements.
+ Strong communication and collaboration skills across multiple stakeholders.
+ Excellent project management and time management capabilities.
+ Analytical mindset with a focus on continuous optimization.
+ Experience in subscriptions, entertainment, or technology industries.
+ Passion for gaming and familiarity with gaming ecosystems.
**Top 3 Hard Skills Required**
1. **Marketing Campaign Development** - Minimum 8 years (preferably in the gaming industry)
2. **Copywriting & Messaging** - Minimum 8 years
3. **Project Management for Marketing Campaigns** - Minimum 8 years
If this is a role that interests you and you'd like to learn more, click apply now and attach your updated resume. a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!
**About ManpowerGroup, Parent Company of:** **Manpower, Experis, Talent Solutions, and Jefferson Wells**
_ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands -_ **_Manpower, Experis, Talent Solutions, and Jefferson Wells_** _-_ creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent.
ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.

Description
Amazon seeks a Finance Manager to partner with our Alexa Devices and Central Advertising teams to drive on-device advertising. This is an exciting opportunity to work on a wide range of monetization initiatives and support monetization initiatives that span across Alexa devices. Alexa devices are designed entirely around your voice, and with the recently launched Remarkable Alexa, there are a lot of exciting Conversational Ad experiences that we are building. The role involves working with stakeholders across multiple business lines within Amazon, with visibility across Devices and Amazon. This is a great opportunity for an entrepreneurial minded candidate who wants to join innovative businesses at Amazon. Devices or Advertising industry experience is preferred but not required.
Key job responsibilities
- Developing business cases and the financial models for new on-device monetization initiatives.
- Drive the financial planning / budgeting process.
- Lead key analytical projects that assist and influence the business.
- Develop business insights and KPI dashboards.
- Compile and review financial results and operational plans and communicate results to leadership.
Basic Qualifications
- 5+ years of tax, finance or a related analytical field experience
- 5+ years of multiple finance and accounting roles experience
- Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience
Preferred Qualifications
- 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience
- 6+ years of solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) experience
- MBA, or CPA
- Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
- Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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 $85,900/year in our lowest geographic market up to $179,500/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 operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of Kindles, tablets, and mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you're interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you've come to the right place.
A key driver for our growth is our understanding of the needs of advanced advertisers. Advanced advertisers are agencies and self-service advertisers with scaled marketing needs, as they manage a large portfolio of clients, products, campaigns or brands. This engineering leadership role is focused on delivering toward the data analytics needs of this customer segment. Timely and relevant insights delivered via scalable products help advertisers grow business on Amazon.
Are you passionate about using Big Data to build customer trust and grow new business? Global advertisers rely on our team's performance insights to drive future investment in Amazon's Advertising Platform. We're looking for strong Engineering Leader that can operate large scale systems leveraging technologies such as Apache Iceberg, Spark, Hive and Presto, as well as AWS services like EMR, EKS, OpenSearch, to build the next generation Petabyte scale analytics and visualization platform. If this sounds interesting, we'd love to hear from you!
Key Responsibilities:
- Collaborate closely with internal teams that retrieve ad performance data from Reporting Analytics Engine. These teams power both synchronous interfaces (such as data tables and charts in campaign management UIs) and asynchronous reporting interfaces (such as downloadable reports and public APIs).
- Engage with various advertising program teams to influence their vision and enable new features that can provide near real time access to comprehensive data at Amazon scale.
- Earn trust across different levels and multiple groups of a large organization
- Work with technology and digital media
- Exceptional ability to analyze and interpret large amounts of data in order to make recommendations for improvement
- Strong oral and written communication skills, as well as ability to think clearly, analyze quantitatively, solve problems, scope technical requirements and prioritize project work
- Sound business judgment, proven ability to influence others, and strong analytical thinking skills
- Ability to think strategically and act tactically
- The ability to work on a diverse team
Impact and Career Growth:
- Have an opportunity to build, lead and grow a team of engineers
- Opportunity to grow and broaden your leadership and technical skills as you work in an environment that thrives on creativity, experimentation, and product innovation
- Change the way customers use data to drive business success
- Have fun and inspire team members to enjoy work, be effective and stretch their imagination
- Ability to get a lot done in a startup environment with a mix of ambiguity and opportunity
Be part of a team of industry-leading experts that are building and operating novel solutions for the most advanced brands and advertisers working with Amazon. The solutions that we build will set new standards for quality and efficiency in advertising. We are re-thinking the way that companies can scale their businesses with Amazon.
Basic Qualifications
- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
Preferred Qualifications
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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 $166,400/year in our lowest geographic market up to $287,700/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. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The 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!
**As an Applied Scientist on this team, you will:**
- Be a strong contributor to Machine Learning; lending effort within this team and across other teams.
- 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.
- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
- 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.
- Run A/B experiments, gather data, and perform statistical analysis.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
- Research new and innovative machine learning approaches.
**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'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.
**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.
**Team video** Qualifications
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
- Experience using Unix/Linux
- Experience in professional software development
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 $136,000/year in our lowest geographic market up to $223,400/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
Revolutionize the Future of Artificial Intelligence with Financial Strategy and Innovation
We're seeking a forward thinking Finance Manager to drive the financial strategy for the high growth Advertising business directly supporting the GenAI Creative Experience product org. In this pivotal role, you'll be at the forefront of shaping transformative AI products that will redefine how businesses and customers interact with advanced technology.
Key job responsibilities
- Partner with GenAI product teams to develop comprehensive financial strategies, analyzing business trends and identifying growth opportunities
- Lead comprehensive financial forecasting for operating expenses, including infrastructure, licensing, and resource allocation
- Establish robust financial frameworks that support ethical practices and strong financial governance
- Facilitate strategic financial reviews and develop actionable insights for leadership
- Create and maintain sophisticated financial models that drive informed decision-making
A day in the life
Your day will be dynamic and impactful, blending strategic financial planning with innovative product development. You'll collaborate closely with our GenAI product teams, translating complex financial insights into actionable strategies. Expect to dive deep into financial modeling, analyze emerging trends, and contribute to decisions that will shape the future of AI technologies.
About the team
We are a collaborative and forward-thinking team dedicated to pushing the boundaries of generative AI. Our group thrives on creativity, strategic thinking, and a shared passion for developing technologies that solve real-world challenges. We value diverse perspectives and innovative problem-solving approaches that can transform how Creatives and AI intersect to improve our ad experiences for customers and business outcomes for advertisers.
Basic Qualifications
- Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)
- 5+ years of tax, finance or a related analytical field experience
- 4+ years of applying key financial performance indicators (KPIs) to analyses experience
- Experience performing ad hoc analysis using advanced Excel
- Experience building and managing financial models for business forecasting and problem solving
Preferred Qualifications
- 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience
- 6+ years of solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) experience
- Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
- Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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 $85,900/year in our lowest geographic market up to $179,500/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. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The 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!
**As a Senior Applied Scientist on this team, you will:**
- Be the technical leader in Machine Learning; lead efforts within this team and across other teams.
- 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.
- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
- 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.
- Run A/B experiments, gather data, and perform statistical analysis.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
- Research new and innovative machine learning approaches.
- Recruit Applied Scientists to the team and provide mentorship.
**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'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.
**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.
**Team video** 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. 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!
**As a Senior Data Scientist on this team you will:**
- Lead Data Science solutions from beginning to end.
- Deliver with independence on challenging large-scale problems with complexity and ambiguity.
- Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data.
- Build Machine Learning and statistical models to solve specific business problems.
- Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.
- Analyze historical data to identify trends and support optimal decision making.
- Apply statistical and machine learning knowledge to specific business problems and data.
- Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.
- Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.
- Build decision-making models and propose effective solutions for the business problems you define.
- Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
**Why you will love this opportunity:** Amazon has invested 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'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.
**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.
Team video ~ Qualifications
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Bachelor's degree
- Experience with statistical models e.g. multinomial logistic regression
Preferred Qualifications
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
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 $143,300/year in our lowest geographic market up to $247,600/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.

We are seeking an Advertising Technology (AdTech) Infrastructure Engineer to join our AdTech team. This role will be instrumental in designing, building, and modernizing AdTech infrastructure to enable faster, more reliable, and more scalable campaign execution.
As we migrate AdTech capabilities in-house, this position will lead efforts to reduce implementation and increase system reliability, empowering Media and Engineering teams to execute campaigns with greater speed, precision, and confidence.
The AdTech Infrastructure Engineer will partner closely with Engineering, Media Operations, and Platform teams to develop and optimize key systems such as Offline Conversion Import (OCI), Conversions Application Programming Interface (CAPI), pixel frameworks, and observability pipelines. This role requires a mix of technical depth, systems thinking, and an understanding of the AdTech ecosystem to deliver high-performance, future-ready infrastructure.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
**Responsibilities**
+ Design, build, and scale AdTech infrastructure including OCI integrations, CAPIs, pixel management systems, and observability frameworks.
+ Modernize legacy AdTech systems to enable in-house ownership, improving performance, reliability, and deployment speed.
+ Develop observability, logging, and monitoring frameworks to ensure uptime and rapid issue detection across all AdTech components.
+ Collaborate with Engineering and Media teams to ensure seamless integration of campaign activation, measurement, and data ingestion systems.
+ Automate deployment and configuration pipelines to reduce manual implementation time.
+ Partner with privacy and compliance teams to ensure infrastructure aligns with global data governance and marketing regulations.
+ Proactively identify and resolve infrastructure bottlenecks, driving continuous improvement in scalability, reliability, and security.
+ Experience on AdTech infrastructure design, integration patterns, and operational best practices.
+ Embody our Culture ( and Values ( Qualifications**
+ Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
+ 2+ years of experience managing cross-functional and/or cross-team projects.
+ 4+ years of experience in Advertising Technology (AdTech), Marketing Technology (MarTech), or cloud infrastructure engineering roles.
**Additional or preferred qualifications**
+ Bachelor's Degree AND 8+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience.
+ 6+ years of experience managing cross-functional and/or cross-team projects.
+ 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos).
Technical Program Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $34,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD 158,400 - 258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: //careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications for the role until November 2, 2025.
#EandEjobs
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .