applinity

Senior Creative Technologist, Google Cloud Brand and Creative

at Google

Location

New York, NY, USA

Compensation

$171k–$248k USD

Type

full time

Posted

3 days ago

Remote

Yes

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Job description

As a Creative in Marketing, you bring visual, design, written and experiential acumen to Google products and services, presented across all major media, content, channels, and experiences. You have the ability to perform your role in a flexible, ever-changing environment and must be open to new influences and inspiration. You will work with a deeply cross-functional team and inspire a team of vendor partners by sharing ideas and developing effective solutions to generate multiple concepts supporting all forms of major media. You will be equally comfortable making; rolling up your sleeves and designing, mocking, writing, or prototyping; showing, not telling. Above all, you will inspire and lead by example by making the most of every opportunity to develop breakthrough creative, consistent with the Google Marketing brand, and be able to take and provide clear direction and creative feedback that pushes work forward.

In this role, you will work with a team of writers, designers, strategists, producers and creative tinkerers who want to surprise our users with tech-driven, visually beautiful experiences. You’ll foster outside agency relationships as well as internal coordination with Google engineers and researchers.

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.

The US base salary range for this full-time position is $171,000-$248,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Prototype innovative AI-driven demos and interactive experiences, collaborating with product and marketing teams.
  • Bring a sense of design, aesthetics, and user experience to ensure experiences are not only technically impressive, but also tasteful and engaging.
  • Work independently and collaborate with a small team of designers, writers, producers and strategists as well as Google technologists, while synthesizing feedback from partners and stakeholders to prototype ambitious demos or experiences.
  • Act as a technical partner in the production of Google Cloud projects.
  • Experiment with various internal and external APIs and libraries. Become an expert at Google AI models and implement them into new projects and platforms.

Minimum qualifications:

  • Bachelor's degree in Computer Science, Design, or equivalent practical experience.
  • 9 years of experience in creative technology, prototyping, or a related hybrid technical-creative role.
  • A portfolio of creative work displaying experience in technology design.

Preferred qualifications:

  • Experience with design tools and prototyping along with human-centered and iterative design methodologies.
  • Experience with multiple coding languages and technologies (e.g., JavaScript, HTML5, C++, Python, Java, Go).
  • Experience translating technical concepts into creative outputs or demonstrations.
  • Knowledge of UI/UX best practices.
  • Familiarity with App Engine development, with an interest in hardware hacking, tangible interfaces, and experimental UI.
  • Proficiency with AI tools (e.g., models, platforms, agents) and fluency in AI terminology.