At DeepMind, we're seeking a Technical Program Manager to lead critical initiatives across Modeling, Data, Evaluations, and User Signals for the Antigravity team. As a Technical Program Manager, you will play a key role in enhancing our models and product by managing the end-to-end lifecycle of data contributions, model development, evaluation processes, and feedback loops.
Key responsibilities include:
- Driving the roadmap on data, evaluations, and modeling improvements to core models, features, and new use cases in collaboration with the Antigravity research teams.
- Managing the evaluation process for new and existing models, and providing feedback to the modeling and research teams.
- Partnering with modeling teams to ensure seamless handoffs and coordination of data and evaluation analysis.
- Managing approval processes working closely with the research and engineering teams as well as cross-functional stakeholders to successfully develop and launch models.
- Establishing and refining systems for collecting, triaging, and analyzing both internal and external user feedback to ensure resolution of high-priority issues.
- Coordinating with vendors for product testing and reporting on key findings to the engineering and product teams.
- Managing compute resources for modeling efforts and supporting team infrastructure needs.
- Acting as a point of contact for resolving technical issues for the team.
To succeed as a Technical Program Manager at DeepMind, we look for the following skills and experience:
- A Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- 5 years of experience in a technical program management role in a research environment.
- Experience working with machine learning models, data pipelines, and evaluation processes.
- Strong analytical skills and experience with data analysis.
In addition, the following would be an advantage:
- A Master's degree or PhD in Computer Science or a related technical field.
- 8+ years of relevant work experience in a technical environment.
- Experience working on end-to-end model flywheel processes, including data collection strategies, model evaluation techniques, and metrics.
- Experience working with modeling research teams, including managing model training and deployment processes.
- Proven ability to lead complex projects with cross-team stakeholders, influencing and leading without managerial authority.
- Excellent interpersonal and communication skills, with a demonstrated ability to work effectively in ambiguous, fast-paced R&D environments.
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