Job Boards
By country
France United Kingdom Germany United States Switzerland Netherlands Spain Italy Belgium Canada Sweden Singapore
All countries
Companies Blog Support us
Browse all roles
Google DeepMind logo

Technical Program Manager, Sustainability, DeepMind

Google DeepMind • United Kingdom • Added on Sep 29, 2026
Apply →

This role operates at the intersection of high-level AI research and practical climate action, where you will orchestrate the lifecycle of technical programs from initial modeling to external release. You will be responsible for managing complex roadmaps, building tracking dashboards, and ensuring that advanced AI outputs remain aligned with organizational priorities and rigorous research standards.

The impact here is profound as you apply machine learning to fundamental planetary challenges, including renewable energy optimization, weather modeling, and biodiversity preservation. By bridging the gap between theoretical breakthroughs and real-world deployment, this position turns computational intelligence into measurable environmental benefits for the global community.

This suits someone who possesses deep technical program management experience within AI research and has a genuine passion for translating complex geospatial data into scalable sustainability solutions. You should excel at navigating the fast-paced, multidisciplinary environment of a world-leading research lab while maintaining a steady focus on long-term ecological goals.

Job FAQs

What are the main missions and responsibilities of this role?

The core mission involves overseeing the end-to-end lifecycle of technical AI projects within the sustainability portfolio. You will be responsible for architecting research roadmaps, setting technical requirements, and defining metrics that measure the success of complex machine learning models. This includes managing high-stakes launches of research papers, open-source code, and enterprise-facing products. Beyond project management, you will develop the operational infrastructure needed for research excellence. This includes building custom analytics dashboards and internal tools to track progress and dependencies across global teams. You will ensure that research remains ambitious yet organized, keeping all activities aligned with broader organizational objectives. Stakeholder management is also a primary responsibility. You will drive alignment across various Google divisions and external partners, ensuring that technical developments in weather, energy, and biodiversity are communicated effectively to both technical and non-technical audiences.

Key learning opportunities for this job

Candidates will gain real exposure to the forefront of AI research, specifically how large-scale model training and evaluation can be applied to environmental sciences. You will learn to navigate the unique challenges of managing research-grade AI projects, which differ significantly from traditional software engineering product management. You will also deepen your expertise in sustainability domains such as grid operations, renewable energy integration, and geospatial weather modeling. Working alongside world-class scientists provides a unique mentorship environment to understand the ethical and safety frameworks necessary for deploying artificial general intelligence. Additionally, the role offers the chance to master advanced operational workflows. You will likely refine your skills in agile and waterfall methodologies within a high-growth research context, utilizing AI-driven tools to accelerate team operations and program delivery.

How does the ideal candidate look like (experience, skills)?

The ideal candidate brings at least five years of program management experience specifically within an AI or technical research environment. A technical background, usually a degree in a STEM field, is essential to understand the underlying complexities of machine learning models and geospatial data sets. Soft skills are just as critical as technical ones; you must be an expert communicator capable of influencing cross-functional teams without direct authority. Experience with external launches, such as releasing open-source software or publishing high-impact research papers, is a significant differentiator for this role. Finally, a strong interest in environmental domains like biodiversity, agriculture, or energy systems is necessary. The candidate should be comfortable with ambiguity, as research paths often shift, and must be able to translate abstract scientific goals into concrete, actionable project plans.

Advice to stand out and make a successful application

To stand out, emphasize your experience with geospatial data and AI applications. Don't just list project management tools; describe how you specifically unblocked a technical research team or managed the risks inherent in experimental technology launches. Align your application with DeepMind's commitment to safety and ethics. Demonstrating that you understand the societal implications of AI, beyond just the technical performance, will resonate with the company's core values. Be prepared to discuss how you have managed external alliances with government or non-profit bodies in the past. If you have used AI tools to improve your own productivity or team workflows, highlight this. DeepMind values candidates who are proactive in leveraging technology to solve operational bottlenecks and who can think strategically about the future of AI-driven sustainability.

What aspects of the company's sustainability is this role likely to focus on?

This role is central to DeepMind's efforts to mitigate climate change and protect natural systems. You will likely focus on optimizing energy grids for renewable integration and developing more accurate weather forecasting models to help societies adapt to climate volatility. There is also a strong focus on biodiversity and agriculture. This could involve projects that use AI to monitor species loss or improve crop yields through geospatial analysis. The role bridges the gap between raw compute power and tangible environmental conservation. Furthermore, the position touches on sustainable technology infrastructure. By improving the efficiency of data centers and large-scale model training, you contribute to reducing the carbon footprint of AI itself, ensuring that the quest for intelligence does not come at an unacceptable environmental cost.

What are the main challenges someone in this role might face?

A primary challenge will be balancing research freedom with operational rigor. Scientists often need room for exploration, while program managers must ensure milestones are met and launches stay on schedule. Navigating this tension requires high emotional intelligence and flexible planning. Another challenge is the complexity of cross-organizational alignment. Working across DeepMind and broader Google teams means managing diverse priorities, varying technical standards, and global time zones. You will need to be persistent in driving consensus among highly specialized stakeholders. Finally, the high pace of AI evolution means that project requirements can change rapidly. Staying current with the latest research breakthroughs while maintaining long-term sustainability goals requires constant learning and the ability to pivot technical roadmaps without losing momentum.

How could a typical day look like for someone in this position?

A typical day likely begins with syncing with global research teams across the UK, US, and Europe to assess progress on current AI models. You might spend the morning reviewing technical requirements for a code release or troubleshooting dependencies in a research pipeline. Mid-day could involve building or refining dashboards to visualize performance metrics or project timelines. You will likely lead meetings with scientists and engineers to identify potential risks in the upcoming launch of a nature-focused AI application, ensuring all ethical and safety reviews are on track. In the afternoon, you might shift to strategic partnership management, communicating with external non-profits or government agencies about how DeepMind’s tools can support their environmental missions. The day usually ends with documentation and planning to ensure the roadmap remains aligned with long-term sustainability objectives.

What are the opportunities for professional growth and development in this role?

Growth in this role is often reflected in the scale and complexity of the programs you lead. Success could lead to overseeing entire research portfolios or moving into strategic leadership roles within the Sustainability or Applied AI divisions. You will have the opportunity to become a recognized expert at the intersection of AI and climate. This high-visibility role allows you to build a reputation both within Google and the broader tech-for-good ecosystem, potentially leading to executive-level program management positions. There are also lateral opportunities to transition into product management or research operations. Given the interdisciplinary nature of DeepMind, you are encouraged to develop a broad skillset that spans technical engineering, environmental science, and corporate strategy.

The main stakeholders you might be interacting with

You will interact daily with Research Scientists and Engineers who are developing the core AI models. Your role is to support them by removing operational hurdles and ensuring their work is packaged effectively for external impact. Internal Product and Engineering teams across Google are also key stakeholders. You will need to align with them on shared infrastructure, data access, and integration requirements for sustainability tools that might be scaled globally. External stakeholders include government bodies, NGOs, and industry partners. You will act as a bridge, ensuring that the technical outputs of the sustainability program meet the practical needs of the environmental community and that these external perspectives are fed back into the research process.

CSR Jobs newsletter

Never miss the next opportunity

Get a curated selection of new CSR, ESG, and sustainability roles in your inbox. No daily noise, just useful opportunities.

Free to join. Unsubscribe anytime.