Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team to develop and deploy innovative AI applications.
- Company: Join Google DeepMind, a leader in advancing artificial intelligence for public benefit.
- Benefits: Enjoy a collaborative environment, opportunities for mentorship, and the chance to work on cutting-edge technology.
- Why this job: Make a real-world impact by translating AI research into products that benefit society.
- Qualifications: 5+ years in technical leadership, strong software engineering skills, and experience with AI models required.
- Other info: Diversity is valued; we encourage applicants from all backgrounds.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking a Manager, Forward Deployment to lead the development and deployment of novel applications, leveraging Google’s generative AI models. This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google & top Google customers. You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models. We are looking for a manager with a strong track record of building and shipping software, and leading engineering teams, ideally with some experience in early-stage environments, where you may have contributed to scaling products from initial concept to production. The ideal candidate will be motivated by the opportunity to drive product & business impact, and develop strong relationships with research teams.
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
This role requires a strong software engineering foundation, a passion for building and iterating on software products, and proven leadership skills. We are looking for a manager who thrives in fast-paced environments, and has the proven ability to deliver high-quality code & guide a team to success. Experience in end-to-end development is essential, as is the ability to mentor and develop junior engineers. We particularly value experience in early-stage or startup environments, where managers take ownership and drive product development from the ground up.
Key responsibilities
- Lead a team in the design and development of scalable software applications leveraging generative AI models.
- Guide the team in rapidly developing new features and iterating based on evaluation results.
- Collaborate with researchers and product managers to translate research advancements into tangible product features.
- Oversee the optimization of software performance and ensure the reliability of deployed applications.
- Champion the development of best practices for building and deploying generative AI applications.
- Lead the architecture and development of new products & features from 0 to 1.
- Mentor and develop team members, fostering a collaborative and high-performing environment.
- Partner with PM team to qualify & size new project opportunities.
About you
In order to set you up for success as a Manager, Forward Deployment at Google DeepMind, we look for the following skills and experience:
Required Skills
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.
- 5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- Proven experience managing software engineering teams.
- Strong software engineering skills; proficiency in Python.
- Proven experience in developing and shipping software products rapidly.
- Experience evaluating model performance, analyzing results, and implementing improvements.
- Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).
- Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.
- Ability to work in a fast-paced environment and adapt to changing priorities.
- Excellent communication, collaboration, and leadership skills.
Preferred Skills
- Experience with generative AI models and applications.
- Contributions to open-source projects.
- Experience with front-end development.
- Experience working in, or founding early-stage startups.
- Experience delivering software solutions in a fast-paced, customer-facing environment.
If you are a passionate software engineering leader with a drive to build innovative products and a desire to work at the forefront of AI, we encourage you to apply!
At Google DeepMind, we value diversity of experience, knowledge, backgrounds, and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Apply for this job
*
indicates a required field
First Name *
Last Name *
Email *
Phone
Resume/CV *
Enter manually
Accepted file types: pdf, doc, docx, txt, rtf
Enter manually
Accepted file types: pdf, doc, docx, txt, rtf
LinkedIn Profile
Link to external profile e.g. LinkedIn, GitHub etc.
#J-18808-Ljbffr
Manager, Forward Deployment, Applied AI employer: Google DeepMind
Contact Detail:
Google DeepMind Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager, Forward Deployment, Applied AI
✨Tip Number 1
Familiarise yourself with Google's generative AI models and their applications. Understanding how these models work and their potential impact will help you articulate your vision for deploying them effectively during interviews.
✨Tip Number 2
Showcase your experience in leading engineering teams, especially in fast-paced environments. Be prepared to discuss specific examples where you've successfully guided a team through the development of software products from concept to production.
✨Tip Number 3
Network with professionals in the AI and software engineering fields. Engaging with others who have experience at Google or similar companies can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your approach to mentoring junior engineers. Highlighting your leadership style and how you foster a collaborative environment will resonate well with the hiring team.
We think you need these skills to ace Manager, Forward Deployment, Applied AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering and technical leadership. Emphasise any projects where you've led teams or developed AI applications, particularly in fast-paced environments.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with the role. Mention specific experiences that demonstrate your ability to lead teams and deliver high-quality software products.
Showcase Relevant Skills: Clearly list your technical skills relevant to the job, such as proficiency in Python, experience with machine learning frameworks, and familiarity with cloud platforms. Use examples to illustrate how you've applied these skills in previous roles.
Highlight Leadership Experience: Detail your experience in managing teams and mentoring junior engineers. Provide examples of how you've fostered collaboration and driven product development from concept to production, especially in early-stage environments.
How to prepare for a job interview at Google DeepMind
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with software engineering, particularly in Python and machine learning frameworks like TensorFlow or PyTorch. Highlight specific projects where you led the development of software products, focusing on your role in optimising performance and delivering high-quality code.
✨Demonstrate Leadership Skills
Since this role involves managing a team, be ready to share examples of how you've successfully led engineering teams in the past. Discuss your approach to mentoring junior engineers and fostering a collaborative environment, as well as any experiences in fast-paced or early-stage settings.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities, especially in relation to deploying generative AI models. Think about challenges you've encountered in previous roles and how you overcame them, particularly in terms of translating research into practical applications.
✨Understand the Company’s Vision
Familiarise yourself with Google DeepMind's mission and recent advancements in AI. Be ready to discuss how your skills and experiences align with their goals, and express your enthusiasm for contributing to innovative AI solutions that benefit society.
