Content Strategist jobs in United States, California, Sunnyvale
Google Senior Software Engineer User Generated Content United States, California, Sunnyvale
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- Bachelor's degree in Electrical Engineering, a related discipline, or equivalent practical experience.
- 8 years of experience at a company developing supply chains in manufacturing and test.
- Experience working with ODMs, contract manufacturers, and component suppliers for hardware in the data center networking topology.
Preferred qualifications:
- Master's degree in Electrical Engineering, or a related field.
- 8 years of experience at a company developing supply chains for data center infrastructure equipment.
- Experience with high-speed optical and copper network infrastructure design and testing methodologies including ethernet, serial bus interfaces, transceivers, or BERT.
- Experience in working with contract manufacturers and suppliers to drive root cause.
- Experience with Python/SQL scripting.
- Understanding of CMOS devices, fabrication processes, ATE test, DFT, quality, and reliability.
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Google Creative Strategist Demos Experiences Google Cloud United States, California, Sunnyvale
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- Bachelor’s degree or equivalent practical experience
- 10 years of experience leading marketing and experiential design projects or work streams
- 5 years of experience working with senior stakeholders from business and technical backgrounds assessing customer pain points, crafting narratives, and collaborating on demo development
- 3 years of experience as a creative director
Preferred qualifications:
- 3 years of experience working with or for enterprise customers as creative/design lead, preferably in the technology space
- Experience with Adobe Suite, Figma, and other creative tools
- Experience working in EMEA and APAC
- Familiarity with Google Cloud Platform
- Ability to travel up to 20% of the time
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Google Account Strategist Engage Google Customer Solutions Norwegia... United States, California, Sunnyvale
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- Bachelor's degree or equivalent practical experience.
- 4 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields.
Preferred qualifications:
- Master's degree in a related technical field.
- Experience in roles related to business analysis, statistical analysis or Machine Learning.
- Ability to solve large unstructured business problems, preferably in fraud investigations and risk management space.
- Excellent communication skills, with the ability to clearly communicate technical concepts with multiple cross-regional and cross-functional stakeholders.
- Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
- Excellent investigative and problem-solving skills with capability to process high amounts of data to drive business strategies and decisions.
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Amazon Sr Front-End Engineer Prime Video - Content Data Platform United States, California, Sunnyvale
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Technical Requirements: • Expert-level experience with modern frontend technologies (React, TypeScript, CSS-in-JS) • Strong understanding of frontend performance optimization and scalability • Experience with state management, component architecture, and micro-frontend approaches • Knowledge of modern build systems, testing frameworks, and CI/CD pipelines • Understanding of server-side rendering and progressive enhancement • Experience with responsive design and cross-platform compatibility
Technical Requirements: • Expert-level experience with modern frontend technologies (React, TypeScript, CSS-in-JS) • Strong understanding of frontend performance optimization and scalability • Experience with state management, component architecture, and micro-frontend approaches • Knowledge of modern build systems, testing frameworks, and CI/CD pipelines • Understanding of server-side rendering and progressive enhancement • Experience with responsive design and cross-platform compatibilityKey job responsibilities
• Drive strategic decision-making on critical UI feature development, from design through implementation to deployment• Design and implement scalable, reusable frontend components for multiple applications while solving complex UI challenges• Lead technical decisions around frontend architecture, including framework selection, build systems, and rendering strategies• Collaborate with cross-functional leads including UX designers, product managers to create intuitive, high-performance user experiences• Collaborate with world-class engineering and science teams to deliver GenAI powered initiatives• Mentor other frontend engineers and establish development best practices while fostering a frontend engineering community• Maintain and raise the technical bar across all frontend development• Drive consumer-facing impact at global scale while balancing technical excellence with user experienceA day in the life
As a Frontend Engineer in the Content and Data Platform org, you'll tackle complex UI challenges at massive scale. You'll collaborate with cross-functional teams to build features that help internal customer to improve their daily operations with GenAI technologies and eventually benefit the customers discover and access content across different devices and platforms. You'll be responsible for delivering working frontend systems that are performant, maintainable, and secure, while managing ambiguity in a fast-paced environment where development cycles are measured in weeks, not quarters.
- 4+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience
- 5+ years of front-end developer creating prototypes or wire-frames for enterprise web applications or workflows experience
- Experience developing with MVC/MVM frameworks (e.g. React.JS, AngularJS, Vue)
Preferred Qualifications
- Knowledge of web services technologies such as SOAP, HTTP, WSDL, XSD, and REST
- Experience in a broad range of software design approaches and common UX patterns.
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Google Senior Strategist Trust Safety Shopping United States, California, Sunnyvale
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- Bachelor's degree or equivalent practical experience.
- 4 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields.
Preferred qualifications:
- Master's degree in a related technical field.
- Experience in roles related to business analysis, statistical analysis or Machine Learning.
- Ability to solve large unstructured business problems, preferably in fraud investigations and risk management space.
- Excellent communication skills, with the ability to clearly communicate technical concepts with multiple cross-regional and cross-functional stakeholders.
- Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
- Excellent investigative and problem-solving skills with capability to process high amounts of data to drive business strategies and decisions.
These jobs might be a good fit
Google Account Strategist SBS Engage Google Customer United States, California, Sunnyvale
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in program or project management.
- 5 years of experience with manufacturing, supply chain management, or fulfillment planning and execution in a new product introduction (NPI) role.
- 5 years of experience in real estate asset management with a focus on land assets, land development and real estate regulations.
- Experience in business process documentation and process improvements.
Preferred qualifications:
- 7 years of work experience in real estate asset management with a focus on land assets and land development.
- Experience managing third-party vendors and contracts and with database management/tracking.
- Experience with spreadsheet, data analysis, and presentation software.
- Knowledge of real estate regulations and ability to work independently and as part of a team.
- Excellent investigative, problem-solving, communication, and negotiation skills.
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Amazon Senior Applied Scientist Prime Video - Content Generation Te... United States, California, Sunnyvale
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Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.As a Prime Video team member, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.Key job responsibilities
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 customer engagement and monetization.
• 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 product managers and engineers to assist in productionizing your models.
• Run 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 scientists to the team and provide mentorship.
• Share knowledge and research outcomes via internal and external conferences and journal publicationsA day in the life
In this role, you will invent science and systems for content localization, generation, including graphics and machine learning-based modeling systems. You will work with a team of scientists and product managers to design customer-facing products, and you will work with technology teams to productize and maintain the associated solutions.
- 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
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
Preferred Qualifications
- Publications at top-tier peer-reviewed conferences or journals in one of those areas (computer vision, graphics, machine learning)
These jobs might be a good fit
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- Bachelor's degree in Electrical Engineering, a related discipline, or equivalent practical experience.
- 8 years of experience at a company developing supply chains in manufacturing and test.
- Experience working with ODMs, contract manufacturers, and component suppliers for hardware in the data center networking topology.
Preferred qualifications:
- Master's degree in Electrical Engineering, or a related field.
- 8 years of experience at a company developing supply chains for data center infrastructure equipment.
- Experience with high-speed optical and copper network infrastructure design and testing methodologies including ethernet, serial bus interfaces, transceivers, or BERT.
- Experience in working with contract manufacturers and suppliers to drive root cause.
- Experience with Python/SQL scripting.
- Understanding of CMOS devices, fabrication processes, ATE test, DFT, quality, and reliability.
These jobs might be a good fit
