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Snapshot
As a Product Marketing Manager at Google DeepMind (GDM), you will be responsible for managing the product marketing and go-to-market (GTM) efforts for our image, music and video generative media models. You will play an integral role in defining our research & development GTM for the model portfolio and work collaboratively with Google teams to define and execute a comprehensive marketing plan.
About us
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
The role
You’ll work closely with GDM Marcomms, researchers and product teams to define the product marketing strategy including naming, branding, hero use cases and inspiring prompt examples, model roadmaps and the overall generative media narrative. You’ll collaborate with broader Google marketing teams to develop and deliver a comprehensive GTM plan that includes 1P product integrations, key moments, strategic partnerships and marketing assets.
Key responsibilities
- Develop the 2025 GTM plan for our image, music and video generative media models that shows how Google DeepMind is helping people bring new creative ideas to life
- Manage GDM’s generative media narrative and presence at tentpole moments including I/O, NEXT and other Google moments
- Collaborate closely with GDM research and product teams on model-to-product roadmaps and ensure xGoogle alignment
- Work with a team of creative strategists, content producers and agency resources to develop inspiring generative media examples and other supporting marketing materials like blog posts, social media assets and executive presentations, ensuring all assets are delivered on-time, on-brand and in-budget
About you
In order to set you up for success as a Product Marketing Manager at Google DeepMind, we look for the following skills and experience:
- Bachelor’s degree or equivalent practical experience
- Proven track record of success in product marketing, strategic consulting or product management.
- Experience developing compelling product narratives, building impactful GTM plans and managing complex product launches and marketing campaigns
- Previous marketing experience in AI or other emerging technologies is ideal
- Passionate, creative storyteller with a particular interest in the cross-section of AI and creativity
- Proven track record of delivering impactful stories, product messaging and positioning, and scaled launches in a fast-paced, dynamic environment
- Successful at working collaboratively across highly technical teams including researchers, engineers and product managers across multiple time zones
Application deadline: 12pm GMT Thursday 23rd October 2024
Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.
What We Do
We’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI).
Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges.
We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.
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