Google DeepMind Promotes Alexandre Moufarek to Director of Product

Google DeepMind has promoted Alexandre Moufarek to Director of Product Management, recognizing his nearly decade-long contributions spanning AI agent research, foundation model data strategy, and the company's games-as-research program, according to edtechinnovationhub.com.

Moufarek, who joined DeepMind in 2017 after more than a decade in the games industry, now leads product within the Inception team, which DeepMind describes as exploring "breakthrough experiences alongside frontier research to create experiences that would not be possible without AI." He also leads a creative and technical team partnering with game developers to push the boundaries of AI and gaming.

Before joining DeepMind, Moufarek spent over four years as Associate Producer at Ubisoft in Paris, working on titles like Watch Dogs and Ghost Recon Future Soldier, leading cross-functional teams of up to 50 people. He later served as Software Director at Aldebaran (SoftBank Group), overseeing the B2C launch of the Pepper robot in Japan, and as Production Director at Novaquark on Dual Universe, a sandbox MMORPG that ran a successful Kickstarter campaign.

At DeepMind, Moufarek has worked across several prominent research programs. When Gemini was in early development, he was brought in to lead the program's data strategy, with a mandate he summarized on LinkedIn as: "Make it good, yeah?" He also worked with SIMA, DeepMind's embodied agent research program, to build a games portfolio for research in partnership with external developers, and has since been involved with the Genie foundation world model work.

Moufarek's promotion reflects how games have become central to frontier AI research at DeepMind. As he stated in his LinkedIn post, games provide "the perfect proving ground for AI research — rich, complex, open-ended worlds that demand the kind of intelligence we're building at DeepMind." The Inception team's focus on AI-first experiences developed alongside frontier research places it at the intersection of consumer product and fundamental capability building, an area that has become increasingly relevant as AI labs seek to translate research advances into deployable, interactive applications.

Artūras Malašauskas is an AI Systems Integrator with 20+ years of production-grade web engineering experience. He has designed, shipped, and scaled enterprise Python/PHP systems for logistics, SaaS, and public-sector clients. For the past year, he has focused exclusively on AI integrations: deploying open-source LLMs, building generative media pipelines (image, audio, video), and engineering multi-agent workflows for real production environments. His standard: reproducibility, security, cost-efficient inference—no vaporware. He documents and evaluates emerging AI tooling, separating verified capabilities from marketing noise. Technical editor at: muza-ai.eu, ai-verslas.lt, ai-naujinos.lt Connect on LinkedIn