Campaign Manager Salary in Palo Alto, CA

DESCRIPTIONAmazon Sponsored Products is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to Amazon’s Selling Partners and key to driving their long-term growth. We deliver billions of ad impressions and clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving team 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.This position will be part of the Advertiser Growth organization within Sponsored Products (SP). Our team focuses on launching innovative controls that help advertisers create and manage performant SP campaigns. We develop recommendations to help advertisers use these controls effectively and develop state-of-art ML based optimization services to represent our advertisers in the SP marketplace. We strive to improve the ability for advertisers to help shoppers discover relevant products on customer search, browse and detail pages.The Sr. Manager, SP Bidding is a single-thread leader responsible for representing advertiser bids in the SP marketplace. The leader will own development of new bidding controls, bid suggestion service, and online bid optimization algorithms that enable SP advertisers to increase reach and drive sales of their promoted products. The leader will lead a cross-functional team of 25+ Amazonians leading the product vision and execution of these services and work across the retail and advertising orgs.Key job responsibilitiesThis role leads two primary services for SP:Bid Suggestion Service: Bid Suggestions provide advertisers with performant bids to use while creating and managing SP campaigns. Advertiser bids are a key input to the SP marketplace and >95% of SP advertisers receive the bids suggested by this service. The leader will own defining the vision of evolving this product to further improve the explainability, accuracy, and usefulness of the suggested bids. Dynamic Bidding: More than 85% of SP advertisers entrust Amazon to adjust their bid at the time of the impression through Dynamic Bidding controls. Advertiser bids are optimized through a tier-1 bidding service operating at p99 latency < 15="" ms="" while="" scaling="" to="" more="" than="" 200k="" qps="" that="" processes="" 1000s="" of="" ads="" in="" each="" request.="" the="" leader="" will="" own="" and="" improve="" this="" service="" and="" set="" the="" engineering="" and="" science="" vision="" of="" continually="" improving="" dynamic="" bidding="" for="" sp="" advertisers.="">We are open to hiring candidates to work out of one of the following locations:Palo Alto, CA, USA | Seattle, WA, USABASIC QUALIFICATIONS1) PhD degree in computer science, statistics, engineering, mathematics or another relevant discipline2) 10+ years of experience using AI/ML solutions to address large scale recommendation and optimization services 3) 5+ years of experience leading science teams4) Experience in applying machine learning to real-world problems, with demonstrated impact on product or service outcomes5) Excellent written and verbal technical communication with an ability to present complex information in a clear and concise manner to a variety of audiencesPREFERRED QUALIFICATIONS1) Hands on experience of leading teams in launching products that are retail media specific or related to display advertising2) Delivered large scale AI/ML based solutions that are customer facing3) Experience in influencing product strategy through cutting edge researchAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $175,000/year in our lowest geographic market up to $340,300/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 https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.

DESCRIPTIONIn Amazon Advertising we are applying Machine Learning techniques at massive scale to optimize advertising performance. We are looking for talented applied scientists to perform research, prototyping, and experimentation with the latest ML techniques. In this role you will work together with other Applied Scientists and Data Scientists, Software and Data Engineers, and Product Managers on high impact initiatives in Amazon’s Multi Channel Advertising.The Ad Performance and Delivery team owns the core systems for optimizing Ad Selection, Bidding, and Campaign Performance. These systems process billions of Ad impressions daily from across the internet to power our display advertising algorithms. You will play a significant role in building and improving ML-based optimization systems for Amazon’s display, audio, and video advertising. You will research the latest advances in ML prediction and forecasting techniques, construct prototypes to validate your hypothesis, work with engineers to turn these prototypes into production systems, and perform offline analysis and online A/B experimentation.In this role, you will work directly with a highly motivated team of ML scientists and engineers who are passionate about applying data science and ML techniques to solve advertiser needs. You will also join the lively Amazon ML community, with opportunities to write papers, attend workshops and conferences (internal and external), participate in science events, and obtain early access to Amazon ML technologies.As a Senior Applied Scientist on this team, you will:- Be a technical leader in Machine Learning and drive full life-cycle Machine Learning projects.- Lead technical efforts within this team and across other teams.- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production. - 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.- Work closely with software engineers to assist in productionizing your ML models.- Research new and innovative machine learning approaches.- Recruit Applied Scientists to the team and mentor scientists on the team.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 https://youtu.be/zD_6Lzw8raE We are open to hiring candidates to work out of one of the following locations:Palo Alto, CA, USABASIC 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 learningPREFERRED 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.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 $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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Tencent GamesTencent Games was launched in 2003 and has since grown into a leading global platform for game development, publishing and operations. We are dedicated to providing high-quality interactive entertainment experiences to players and currently offer more than 140 games, including PUBG MOBILE, Call of Duty: Mobile, League of Legends, Arena of Valor and Alchemy Stars, to hundreds of millions of players across over 200 countries and regions.Level InfiniteLevel Infinite is a global game publisher offering a comprehensive network of bespoke services for games, development teams and studios around the world. We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play, while building a community that fosters inclusivity, connection, and accessibility. The brand also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games. Level Infinite is both publisher of breakout hit games like PUBG MOBILE and Goddess of Victory: NIKKE, and a collaborative partner in games such as Fatshark's Warhammer 40,000: Darktide, Dune: Awakening from Funcom, Nightingale from Inflexion Studios and many more. To learn more about Level Infinite, visit levelinfinite.com, and follow on Twitter, Facebook, Instagram and YouTube.About the RoleAs part of the Global Publishing Team, you will team up with studio leads, community management and regional/global publishing teams to build and deliver marketing plans leading to user acquisition for several titles across Level Infinite global markets and platforms (PC, Consoles, Mobile).Job Responsibilities:UA Campaigns: Develop and execute global marketing strategies, including market research, target audience analysis, brand positioning, and promotional plans to generate UA. Collaborate with internal teams and partners to ensure the timely and high-quality execution of the global game release plan.responsible for global advertising paid media for console and PC game titles, overseeing the overall planning, creative design, and production of UA materials for global distribution projects, accountable for advertising efficiency metrics. Must be familiarity with various mainstream paid media/channels, matching game characteristics with channel features, integrating marketing resources, and quantifying results.In collaboration with the Audience Manager, plan and organize global marketing events, including trade shows, media activities, social media promotions, etc., to increase game awareness and sales.in collaboration with the Audience Manager, leverage creator programs to amplify the UA plans.Creative management: Regularly generate advertising material concepts, develop and execute creative solutions for different regions and stages based on regional market deployment plans.Lifecycle: in collaboration with Market Intelligence, accelerate UA based on the game lifecycle opportunities (promotions calendar, pricing monitoring, partnership).UA Intelligence: Data-driven approach, collaborate with advertising partners to promote efficient deployment and user growth. Research and understand trends, competitors, and audience demands in the Western gaming market to develop appropriate marketing strategies. Analyze market data and sales trends, provide market insights and recommendations to optimize marketing strategies and sales performance.Budget: Manage the global marketing budget, ensuring efficient resource allocation and achievement of expected marketing objectives.Job Requirements:Over 5 years of experience in UA deployment for console or PC games, covering the entire lifecycle of game deployment.Experience in global game channel deployment and user growth, or experience related to brand and market penetration growth with budget management.Data-driven mindset, with experience and ability in data analysis.Creative content ability, with experience in game creativity and execution.Fluent in EnglishRequires international travelsThe base pay range for this position in the state(s) above is $99,600 to $182,260 per year. Actual pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign on payment, relocation package, and restricted stock units may be provided as part of the compensation package, as well as other medical, financial, and/or other benefits, dependent on the specific position offered.Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are also able eligible to participate in the Company's 401(k) plan, accrue from 15 up to 25 days of vacation leave per year, up to 10 paid holidays per year, 2 floating holidays and accrue up to 10 days of paid sick leave per year. Your benefits eligibility requirement will be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may be pro-rated for those who start working during the calendar year.