Engineering Manager, Generative AI, Applied Innovation Factory
Engineering Manager, Generative AI, Applied Innovation Factory

Engineering Manager, Generative AI, Applied Innovation Factory

London Full-Time 54000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead a team exploring transformative AI projects and manage technical development.
  • Company: Join Google, a leader in innovative technology impacting billions worldwide.
  • Benefits: Enjoy a collaborative culture, career growth opportunities, and the chance to work on cutting-edge AI.
  • Why this job: Be at the forefront of AI innovation, shaping the future with your entrepreneurial spirit.
  • Qualifications: Bachelor's degree and 3 years in technical leadership; experience in machine learning and AI required.
  • Other info: Google values diversity and is committed to creating an inclusive workplace.

The predicted salary is between 54000 - 84000 £ per year.

Engineering Manager, Generative AI, Applied Innovation Factory corporate_fare Google place London, UK Apply Minimum Qualifications: Bachelor’s degree or equivalent practical experience. 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role. Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other ML discipline. Experience in Generative AI (Large Language Models, Multi-Modal). Preferred Qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 3 years of experience working in a complex, matrixed organization. Entrepreneur or startup experience within a larger organization, working in 0 to 1 environment. Knowledge of Cloud or AI (builder, code, and design savvy). About the Job: 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’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. With your extensive technical expertise you take initiative to independently design and implement new systems, designing, implementing, and testing multiple features with little or no direction from tech lead or manager. You collaborate with key stakeholders to determine future direction of work. The Office of the CTO (OCTO) is a diverse team of experienced engineers and technologists, whose mission is to foster market-disrupting collaborative innovation between Google and the world’s most ambitious organizations. As an Engineering Manager of OCTO AIF, you will help build and lead a team of SWEs exploring strategic and potentially transformative market opportunities in collaboration with OCTO’s senior technical leaders, various Google Product and Engineering teams, and our strategic customers. You will bring your entrepreneurial spirit taking often loosely formed ideas into actionable insights. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities: Set clear expectations with individuals based on their level and role and aligned to the broader organization’s goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Lead OCTO’s AIF EMEA team collaborating with OCTO’s Principal Engineers/Technical Directors, other AIF leads, Google Product/Engineering and our strategic customers. Leverage your deep technical expertise to help identify and refine promising projects across a rich variety of highly complex technical problem spaces with a particular focus on AI. Build an inclusive, collaborative and effective team coaching and mentoring the team on experimental thinking, challenging their assumptions, structuring communication for successful transitions and career development. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. #J-18808-Ljbffr

Engineering Manager, Generative AI, Applied Innovation Factory employer: Google Inc.

At Google, we pride ourselves on being an exceptional employer, particularly for the Engineering Manager role in our Generative AI team located in London. Our vibrant work culture fosters innovation and collaboration, providing employees with ample opportunities for professional growth and development. With access to cutting-edge technology and a commitment to diversity and inclusion, you will be empowered to lead transformative projects while working alongside some of the brightest minds in the industry.
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Contact Detail:

Google Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Engineering Manager, Generative AI, Applied Innovation Factory

✨Tip Number 1

Familiarize yourself with the latest advancements in Generative AI and machine learning. Being well-versed in tools like TensorFlow and understanding Large Language Models will give you a competitive edge during discussions.

✨Tip Number 2

Showcase your leadership experience by preparing examples of how you've successfully managed teams and projects. Highlighting your ability to coach and mentor others will resonate well with the hiring team.

✨Tip Number 3

Network with professionals in the AI and tech community, especially those who have experience at Google or similar organizations. Engaging in conversations can provide insights and potentially lead to referrals.

✨Tip Number 4

Demonstrate your entrepreneurial spirit by discussing any innovative projects you've led or contributed to. Emphasizing your ability to turn ideas into actionable insights will align well with the role's expectations.

We think you need these skills to ace Engineering Manager, Generative AI, Applied Innovation Factory

Technical Leadership
People Management
Machine Learning Algorithms
TensorFlow
Artificial Intelligence
Deep Learning
Natural Language Processing
Generative AI
Large Language Models
Multi-Modal AI
Cloud Computing
Project Management
Code Review
Collaboration Skills
Entrepreneurial Mindset
Problem-Solving Skills
Communication Skills
Mentoring and Coaching
Agile Methodologies
Strategic Thinking

Some tips for your application 🫡

Highlight Relevant Experience: Make sure to emphasize your technical leadership experience, especially in machine learning and generative AI. Detail specific projects you've overseen and the impact of your leadership on those projects.

Showcase Technical Skills: Clearly outline your proficiency with machine learning tools like TensorFlow, as well as your experience with deep learning and natural language processing. Mention any relevant certifications or courses that demonstrate your expertise.

Demonstrate Leadership Qualities: Provide examples of how you've successfully managed teams and fostered collaboration. Discuss your approach to mentoring and coaching team members, as well as how you set clear expectations and provide feedback.

Tailor Your Application: Customize your CV and cover letter to align with Google's values and the specific requirements of the Engineering Manager role. Use keywords from the job description to ensure your application stands out.

How to prepare for a job interview at Google Inc.

✨Showcase Your Technical Expertise

Be prepared to discuss your experience with machine learning algorithms, particularly in Generative AI. Highlight specific projects where you've implemented these technologies and be ready to explain your thought process and the outcomes.

✨Demonstrate Leadership Skills

As an Engineering Manager, you'll need to show your ability to lead teams effectively. Share examples of how you've set clear expectations, provided feedback, and fostered a collaborative environment in previous roles.

✨Prepare for Behavioral Questions

Expect questions that assess your problem-solving skills and how you handle challenges. Use the STAR method (Situation, Task, Action, Result) to structure your responses and provide concrete examples from your past experiences.

✨Align with Google's Values

Research Google's culture and values, especially around diversity and inclusion. Be ready to discuss how you can contribute to building an inclusive team and fostering a culture of belonging within the organization.

Engineering Manager, Generative AI, Applied Innovation Factory
Google Inc.
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  • Engineering Manager, Generative AI, Applied Innovation Factory

    London
    Full-Time
    54000 - 84000 £ / year (est.)

    Application deadline: 2026-12-24

  • G

    Google Inc.

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