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For Companies At a Glance
- Tasks: Champion developer success by creating engaging resources and driving AI adoption.
- Company: Join Google DeepMind, a leader in AI innovation and community empowerment.
- Benefits: Competitive salary, diverse team, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and shape the developer experience globally.
- Qualifications: Experience in machine learning and a passion for developer engagement.
- Other info: Dynamic role with a focus on collaboration and impactful projects.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Google DeepMind Developer Experience works at the intersection of Engineering, Product, and Community. We champion developer success by delivering seamless experiences across our GenAI product suite. Through deep collaborations across Google, we empower developers by providing high-quality launch materials, education, technical outreach, and a supportive ecosystem for developers of all backgrounds.
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
As a Developer Relations Engineer for Google DeepMind, you will work at the critical intersection of Product, Engineering, Research, and the developer community. You are the trusted voice of the developer inside our organization and the expert technical voice of our organization to the world.
Your mission is to champion developer success and drive the adoption of our models and tools. You will actively shape our products and models, multiply the impact of launches, and scale the AI builders ecosystem.
This role requires a unique blend of deep technical expertise, developer empathy, and strategic thinking to navigate the evolution of foundational AI technology and developer needs. You will work with a passionate, cross-functional team of engineers, researchers, and product managers who are dedicated to pushing the boundaries of what’s possible with generative AI. If you are excited to shape the developer experience for the world\’s most advanced AI and build a thriving ecosystem around it, this is your chance to be at the forefront of this technological revolution.
Key responsibilities
- Lead technical go-to-market strategy for new AI models and tools (like Gemini, Veo, Gemma, and Google AI Studio), owning the creation of developer assets (demos, tools, guides) to ensure developer success.
- Drive the growth of our developer ecosystem by identifying and growing strategic technical partnerships with key frameworks and platforms, leading integration efforts that embed our technology directly into the tools developers use every day.
- Champion developer education and engagement at scale, representing Google DeepMind as a technical authority at events and creating authoritative content (videos, blogs, workshops) that inspires and enables developers worldwide.
- Shape the product and research roadmap by translating developer feedback and technical insights into actionable requirements that guide the future of our models and APIs.
- Act as the \”zeroth customer\” for our technology, collaborating closely with engineering on early designs and providing critical, hands-on feedback to ensure new features and APIs are not only powerful but also intuitive and ready for real-world application.
About you
In order to set you up for success as a Developer Relations Engineer at Google DeepMind, we look for the following skills and experience:
- Ability to produce excellent code samples, clear documentation, and effective how-to materials to enable developer success with technical offerings.
- Ownership of problems end-to-end and a team player with a collaborative mindset.
- Bachelor\’s degree or equivalent practical experience.
- 7 years of experience with machine learning algorithms and tools (e.g., TensorFlow, Keras, LLMs), artificial intelligence, deep learning or natural language processing.
- 5 years of work experience in a technical role (e.g., software engineering, AI engineering, solutions consultant, etc.) or equivalent technical experience.
- Experience with testing, designing and influencing software launches
In addition, the following would be an advantage:
- Having as many of these specific qualifications is a plus, but transferable skills/experiences may be equally valuable
- 4 years of experience in an external facing role or equivalent experience through community or open source contributions
- Ability to navigate ambiguity in a fast paced environment
- Experience with product development lifecycle
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 opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity 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.
UK Demographic Questions
Google DeepMind is committed to equal opportunity employment regardless of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital status, domestic or civil partnership status, sexual orientation, gender identity or any other basis as protected by applicable law. A voluntary self-identification question enables us to monitor and evaluate the effectiveness of our equal opportunities policy within our recruitment process. Your information is used in an aggregated form for these limited purposes and will not form part of your application.
Please indicate your race/ethnic group (choose all that apply) *
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Developer Relations Engineer employer: Google DeepMind
Contact Detail:
Google DeepMind Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Developer Relations Engineer
✨Tip Number 1
Network like a pro! Get involved in developer communities, attend meetups, and engage on platforms like GitHub or Stack Overflow. The more connections you make, the better your chances of landing that Developer Relations Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, code samples, and any educational content you've produced. This will demonstrate your technical expertise and passion for developer success to potential employers.
✨Tip Number 3
Be proactive! Reach out to companies you're interested in, even if they haven't posted a job opening. Express your enthusiasm for their work and how you can contribute to their developer ecosystem. You never know what opportunities might arise!
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us at Google DeepMind. Tailor your application to highlight how your experience aligns with our mission to empower developers and shape the future of AI.
We think you need these skills to ace Developer Relations Engineer
Some tips for your application 🫡
Show Your Passion: Let your enthusiasm for AI and developer relations shine through in your application. We want to see how excited you are about shaping the developer experience and driving adoption of cutting-edge technology.
Tailor Your Application: Make sure to customise your CV and cover letter to highlight relevant experiences that align with the role. We love seeing how your background in machine learning or software engineering can contribute to our mission.
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language and structure your thoughts logically. We appreciate well-organised applications that make it easy for us to see your skills and experiences.
Apply Through Our Website: Don’t forget to submit your application through our official website. It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Google DeepMind
✨Know Your Tech Inside Out
As a Developer Relations Engineer, you'll need to demonstrate your deep technical expertise. Brush up on machine learning algorithms, tools like TensorFlow and Keras, and be ready to discuss how you've used them in past projects. Show that you can not only code but also explain complex concepts clearly.
✨Showcase Your Developer Empathy
This role is all about championing developer success. Be prepared to share examples of how you've engaged with developers in the past, whether through community contributions or creating educational content. Highlight your ability to understand their needs and how you've addressed them.
✨Prepare for Real-World Scenarios
Expect to discuss how you would approach the go-to-market strategy for new AI models and tools. Think about potential challenges developers might face and how you would create resources to help them succeed. This shows your strategic thinking and problem-solving skills.
✨Be Ready to Collaborate
Collaboration is key in this role. Prepare to talk about your experience working with cross-functional teams, such as engineers and product managers. Share specific examples of how you've contributed to team projects and how you handle feedback to improve products.
