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- Tasks: Lead high-impact AI research programs and translate complex goals into actionable plans.
- Company: Join Google DeepMind, a leader in advancing artificial intelligence for public benefit.
- Benefits: Competitive salary, innovative projects, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and make a real-world impact.
- Qualifications: Bachelor's degree in a technical field and 5+ years in Technical Program Management.
- Other info: Dynamic environment with a focus on collaboration and cutting-edge technology.
The predicted salary is between 36000 - 60000 £ per year.
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.
Join Google DeepMind’s Frontier AI Research team to drive the operational and technical success of our most ambitious efforts to advance the state of the art in artificial intelligence. As a Technical Program Manager, you will serve as a strategic partner to research leads, translating complex and ambiguous scientific goals into actionable technical roadmaps that push the boundaries of machine learning. You will be instrumental in bridging the gap between foundational breakthroughs and real-world applications, ensuring our research lands successfully in global-scale products.
In this role, you will lead and drive high-impact programs that involve significant technical complexity and cross-functional dependencies. You will apply deep technical acumen to perform due diligence on engineering scope, influence technical decision-making, and accelerate the delivery of research breakthroughs. You will build complex programs, fostering collaboration and bringing clarity to ambiguous research challenges. This multidisciplinary role operates at the frontier of AI, from Retrieval-Augmented Generation (RAG) systems and large-scale multimodal evaluation frameworks to strategies that define how AI systems safely and effectively interact with society.
Key Responsibilities
- Program Strategy and Execution: Partner with AI Research leads to co-develop long-term strategies, technical goals, and success metrics for initiatives pushing the frontier of generative AI.
- Technical Due Diligence: Evaluate engineering scope, establish milestones, and influence technical direction.
- Cross-Functional Leadership: Build and guide effective cross functional partnerships across diverse disciplines, including modeling, infrastructure, and evaluation, to ensure alignment on shared objectives.
- Operational Excellence: Establish robust mechanisms to monitor program performance, anticipate technical risks, and manage complex interdependencies between research workstreams.
- Continuous Innovation: Proactively identify and implement opportunities to enhance research velocity and engineering excellence through optimized tools and methodologies.
- Stakeholder Management: Distill complex technical updates and research progress into clear, actionable insights for diverse audiences and executive leadership.
- Resource Optimization: Drive strategic planning for mission-critical resources, including compute management and allocation, to respond to a rapidly changing competitive landscape.
About You
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
- 5+ years of experience in Technical Program Management or a related role within an advanced technical or research environment.
- Proven experience partnering directly with research or engineering leads to deliver on high-impact, technically complex projects.
- Comprehensive technical knowledge and understanding of program management methodologies adapted for research-centric environments.
Preferred Qualifications:
- Master’s or PhD degree in a technical field, particularly related to AI/machine learning.
- Direct experience in AI/ML research or development, with a focus on multimodal models or decentralized information systems.
- Strong analytical and problem-solving skills, with a demonstrated ability to understand complex technical systems and identify opportunities for optimization.
- Passion for the future of AI and the ability to thrive in a dynamic, fast-paced environment where technology meets real-world impact.
Technical Program Manager, Frontier AI Research employer: The Rundown AI, Inc.
Contact Detail:
The Rundown AI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Program Manager, Frontier AI Research
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, especially those at Google DeepMind. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills in action! If you’ve got projects or experiences that highlight your technical program management chops, don’t be shy. Share them on platforms like LinkedIn or even in your conversations with potential employers.
✨Tip Number 3
Prepare for interviews by diving deep into the latest trends in AI and machine learning. Being able to discuss current advancements will show you’re not just knowledgeable but genuinely passionate about the field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team and ready to contribute to groundbreaking AI research.
We think you need these skills to ace Technical Program Manager, Frontier AI Research
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Technical Program Manager role. Highlight your experience in managing complex projects and working with cross-functional teams, as this is key for us at Google DeepMind.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our Frontier AI Research team. Be specific about your achievements and how they relate to the role.
Showcase Your Technical Acumen: In your application, don’t shy away from showcasing your technical knowledge. Mention any relevant methodologies or tools you've used in program management, especially those that apply to research-centric environments like ours.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it shows us you’re serious about joining our innovative team!
How to prepare for a job interview at The Rundown AI, Inc.
✨Know Your AI Stuff
Make sure you brush up on the latest trends and breakthroughs in AI and machine learning. Familiarise yourself with concepts like Retrieval-Augmented Generation and multimodal evaluation frameworks, as these are key to the role. Being able to discuss these topics confidently will show your passion and expertise.
✨Master the Art of Communication
As a Technical Program Manager, you'll need to distil complex technical updates into clear insights. Practice explaining intricate ideas in simple terms, as this will be crucial during your interview. Think about how you can convey your past experiences in a way that highlights your ability to bridge gaps between research and real-world applications.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led cross-functional teams in the past. Highlight your experience in managing complex projects and how you foster collaboration among diverse disciplines. This will demonstrate your capability to guide teams towards shared objectives, which is essential for this role.
✨Be Ready for Problem-Solving Scenarios
Expect to face some technical challenges or case studies during the interview. Brush up on your analytical skills and think through how you would approach solving complex problems. Show them your thought process and how you can identify opportunities for optimisation in a dynamic environment.
