Qureos Mentor

Youtube

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>8 years of experience in software development.<br>
</li>
<li>5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.</li>
<li>5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.<br>
</li>
<li>5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master&rsquo;s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field.</li>
<li>8 years of experience in data structures and algorithms, with experience building distributed, large-scale machine learning systems.</li>
<li>3 years of experience in a technical leadership role, defining technical goals, setting roadmap direction, and mentoring executive engineering teams.</li>
<li>Experience designing and deploying recommendation systems, personalized ranking models, or retrieval systems.</li>
<li>Expertise in managing the cold-start problem, reinforcement learning, or exploration/exploitation algorithms.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p>
In this role, you will lead the Short-form Video Exploration team and drive the success of YouTube shorts, a top strategic initiative. The Short-form Video team manages the entire ecosystem: from mobile creation tools and effects (text, stickers, filters) to a seamless, full-screen player experience. We also build the backend systems required to create, serve, and recommend these videos across Home, Search, and beyond.<br>
<br>
Shorts Exploration is a critical component of our recommendation strategy. Our mission is to identify initial audiences for fresh content, expanding our recommendable corpus and inspiring further creation. To achieve this, we leverage advanced modeling techniques and signals to build these audiences directly within the recommendation stack.</p>
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun &mdash; and we do it all together.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Design, develop, test, deploy, maintain, and enhance large scale software solutions.<br>
</li>
<li>Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.<br>
</li>
<li>Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.<br>
</li>
<li>Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.<br>
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Tech Lead, YouTube Shorts Discovery, ML Recommendations

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.</li>
<li>Experience conducting regression analysis.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>2 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.<br>
</li>
<li>Experience conducting causal inference analysis.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.</p>
<p>
Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems-from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can-changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.</p><div></div><div><br>
YouTube (YT) Marketing Data Science, Infra and Analytics (DSIA) influences and informs YouTube&rsquo;s marketing and products teams. We work on projects that drive a go-to-market and brand strategy for YouTube using data to ensure our marketing efforts are efficiently and effectively deployed.<br>
</div>
As a Business Data Scientist on core and cultural moments, you will partner closely with YT marketing and product teams to engage casual users with YT exclusive content during tentpole moments (sports, award ceremonies, cultural celebrations) and re-engage lapsed users with off platform brand campaigns. You will be tasked with understanding direct and halo impacts of these campaigns as well as opportunities to optimize them through user personalization.<p></p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $116000 - $165000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Design and execute studies to measure the causal impact of our marketing on key brand metrics like awareness, favorability, and consideration, using techniques from survey analysis to quasi-experimental methods.</li>
<li>Use ML to understand what features of viewer marketing campaigns drive the most impact on both brand perception and behavior especially among causal users of YT.
</li><li>Design experiments and measure the efficacy of cultural moments as a wrapper for other marketing initiatives at YouTube (e.g., shorts creator adoption, genai tools).</li>
<li>Measure impact of paid and organic social marketing on driving viewer growth and understand opportunities for converting viewers to YouTube from competitors.</li>
<li>Work with Product and Marketing to design experiments around insights.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Business Data Scientist, YouTube Marketing

<div><p>This role may also be located in our Playa Vista, CA campus.</p><p>
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.</p><p>
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.</p><br>
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>New York, NY, USA; Atlanta, GA, USA; Chicago, IL, USA; Mountain View, CA, USA; Los Angeles, CA, USA; San Bruno, CA, USA; San Francisco, CA, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree or equivalent practical experience.<br>
</li>
<li>10 years of experience in advertising, marketing technology, management consulting, or product management.<br>
</li>
<li>2 years of experience managing individuals and leading cross-functional teams.<br>
</li>
<li>Experience leading operational initiatives.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience in Google&rsquo;s ad solutions and value proposition in the market, and creative ads products and generative AI.</li>
<li>Ability to manage multiple projects and stakeholders, as well as influence and drive results without official authority.</li>
<li>Ability to operate and drive clarity in a fast moving and ambiguous space, and to navigate large complicated organizations.</li>
<li>Ability to influence product leadership through development of strategic programming and event execution that focuses on showcasing strategic priorities and key pain points.</li>
<li>Excellent problem solving and analytical skills, with the ability to provide data driven insights to shape strategy and key decisions.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
This role sits in the YouTube Ads GTM team with a mission to fuel innovation that keeps YouTube and Video free and accessible to the world by effectively monetizing YouTube with advertisers. The Creative team's mission is to accelerate advertisers and partners' ability to create more effective ads that will drive their business objectives and grow Google/YouTube investment. The team plays a vital role in empowering advertisers and partners with the creative solutions and resources they need to be set up for success across the Ads platforms.</p><p>
As the Senior Manager, you will lead a team focused on first-party creative products for the YouTube and Video ad solutions while also driving cross-GPS creative efforts to ensure a cohesive customer experience. In this role, you will work collaboratively with stakeholders across GPS, Product, Marketing, gTech, GTM, and Sales to ensure Creative offerings meet the needs of our advertisers while also driving commercialization strategy and execution globally.</p><p></p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $186000 - $270000 (USD) + 20% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Partner with Product and Engineering to shape the roadmap for emerging creative solutions, vetting product-market fit and ensuring alignment with YouTube Ads' strategic goals.</li>
<li>Build strategic business cases for innovations by leveraging customer needs and market trends to prioritize features that solve real-world advertiser pain points.</li>
<li>Lead go-to-market strategy for YouTube/Google Creatives, managing early-stage pilots and translating complex features into clear business motions that empower global teams.</li>
<li>Serve as the primary market feedback channel, leading test and learn incubation phases and synthesizing data from pilots to iterate before global scaling.</li>
<li>Lead high-performing ICs and orchestrate alignment across Sales, Marketing, Legal, and PR to ensure a unified approach to launching new creator solutions.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Manager, Creative Solutions, YouTube Ads GTM

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>New York, NY, USA; San Bruno, CA, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.<br>
</li>
<li>3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.<br>
</li>
<li>Experience with statistical methods including experimental design (A/B testing), regression, and classification.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>5 years of experience in the consumer tech, media, or entertainment industry.</li>
<li>4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.<br>
</li>
<li>Experience with advanced modeling techniques, including marketing mix modeling (MMM), user LTV forecasting, and churn prediction.</li>
<li>Experience in subscription-based businesses (SaaS) or mobile growth marketing.</li><li>
Deep expertise in causal inference techniques and a proven track record of applying them to solve business problems.</li>
<li>Excellent communication and presentation skills, with a knack for distilling complex topics into simple, powerful messages.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.
<br>
<br>
YouTube Marketing Analytics is a 30+ analyst team that influences and informs YouTube&rsquo;s marketing and products teams. We work on projects that are at the heart of go-to-market (GTM) and brand strategy for YouTube using data to ensure our marketing efforts are efficiently and effectively deployed.
<br>
<br>
As a Business Data Scientist on YouTube Connected TV (CTV) marketing, you will be tasked with understanding the full funnel of subscriber growth and determining how marketing can be the most effective at each stage in driving growth. Measurement will include a mix of understanding brand perception and how marketing shifts perception to experiment design as well as analysis of campaigns, user level offers and partnership opportunities.<p></p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $138000 - $198000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Partner with performance marketing teams to design experiments and utilize causal inference and other quasi experiments techniques to measure and optimize budget for acquiring high-value subscribers.</li>
<li>Develop sophisticated user segmentation frameworks to tailor marketing communications, offers, and win-back strategies to different user needs.</li>
<li>Measure brand love using panel data, understand the causal drivers of brand perception and how marketing influences perception and consideration for YouTube TV and NFLST.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Business Data Scientist, Connected TV, YouTube Marketing

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering or a related quantitative field.</li>
<li>3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience with machine learning and experiment design principles.</li>
<li>Experience with recommender systems.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
YouTube Data Science influences and informs YouTube&rsquo;s product and engineering leadership. The Gaming Discovery team helps gamers find YouTube content whether it's videos about gaming (e.g., gaming-related content) or Playables (e.g., mini-games playable within the YouTube app).At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun &mdash; and we do it all together.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Collaborate with stakeholders in cross-project and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into analysis, evaluation metrics or mathematical models.</li>
<li>Use custom data infrastructure or existing data models. Design and evaluate models to mathematically express and solve defined problems with limited precedent.</li>
<li>Gather information, business goals, priorities and organizational context around the questions to answer as well as the existing and upcoming data infrastructure.</li>
<li>Own the process of gathering, extracting and compiling data across sources via relevant tools (e.g., SQL and Python). Format, re-structure or validate data to ensure quality and review the dataset to ensure it is ready for analysis.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Research Data Scientist, YouTube Gaming Discovery

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Mountain View, CA, USA; London, UK</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.</li>
<li><div><div><div>8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).</div></div></div></li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience collaborating effectively across organizational boundaries, building relationships, and importing and exporting ideas to achieve broad organizational goals.</li>
<li>Experience leading technical strategy and influencing engineering direction across multiple teams.</li>
<li>Experience leading cross-organizational technical programs or initiatives at scale.</li>
<li>Experience with agentic systems and using AI to support production operations, including familiarity with LLM-based tooling, AI-driven automation, or intelligent incident response systems.</li>
<li>Ability to understand complex relationship between the organization and its environment, identify connections, adopt different perspectives and quickly respond to changing circumstances in a strategic way.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google's services&mdash;both our internally critical and our externally-visible systems&mdash;have reliability, uptime appropriate to users' needs and a fast rate of improvement. Additionally SRE&rsquo;s will keep an ever-watchful eye on our systems capacity and performance.</p><div>
Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you&rsquo;ll have the opportunity to manage the complex challenges of scale which are unique to Google, while using your expertise in coding, algorithms, complexity analysis and large-scale system design.</div><div></div><div><br>
SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.<br>
<br>
<b>To learn more:</b> check out our books on Site Reliability Engineering or read a career profile about why a Software Engineer chose to join SRE.</div>
<p>
In this role, you will develop, design, and drive technical engineering projects and decisions for Apps, Video and Display (AViD) infrastructure and production systems. You will mentor and lead other executive level engineers within AViD SRE and across Ads to achieve our aligned mission.</p><p></p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $262000 - $365000 (USD) + 25% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Ensure that Google Ads services within the AViD ecosystem have reliability and uptime appropriate to users' needs with a fast rate of improvement, while keeping an ever-watchful eye on capacity and performance.</li>
<li>Build creative engineering solutions to operations and infrastructure problems, including AI-powered automation and agentic workflows for production operations.</li>
<li>Lead and contribute to the cross-SRE AI Ops program, driving the strategic adoption of AI/ML tools to improve incident response, reduce toil, and enhance service reliability across Ads SRE.</li>
<li>Focus on optimizing existing systems, build infrastructure, and eliminate work through automation and AI-driven operational improvements.</li>
<li>Determine how our systems relate to each other and use a breadth of tools and approaches &mdash; including emerging AI capabilities &mdash; to solve a broad spectrum of problems.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Staff Site Reliability Engineer, AViD, YouTube Ads

Join Youtube and explore 6   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.