Technical Program Manager, Robotics

The Technical Program Manager at Google DeepMind plays a pivotal role in managing multiple research initiatives focused on Embodied AI. This includes applying technical knowledge to find solutions, overseeing data collection efforts, enhancing operational efficiency, and partnering with cross-functional teams to ensure the successful delivery of projects.

The ideal candidate for the Technical Program Manager role at Google DeepMind should have a bachelor’s degree in engineering or a related field, 3-5 years of experience in robotics, and a solid track record in managing impactful projects. Strong technical communication skills and the ability to improve processes are also essential.

The Technical Program Manager supports AI research by providing vital resources such as lab spaces and robot platforms, leading data collection efforts, and fostering collaboration among research and engineering teams. This role helps accelerate Google DeepMind's efforts in creating safe and responsible AI applications.

Beneficial skills for a Technical Program Manager at Google DeepMind include experience in robotics, strong partnership abilities, proficiency in program management methodologies, and familiarity with AI and machine learning concepts. Knowledge about hardware/software testing enhances your effectiveness in this role.

The salary range for the Technical Program Manager position at Google DeepMind is between $168,000 and $266,000, plus bonuses, equity, and additional benefits. Compensation may vary depending on location and the candidate's experience.

When answering this question, focus on specific projects you’ve managed, the challenges you faced, how you collaborated with cross-functional teams, and the successful outcomes achieved. Highlight your role in enhancing processes and how you ensured project goals were met.

Share your approach to prioritization by discussing any frameworks or tools you use. Emphasize how you assess urgency versus importance and manage stakeholder expectations, especially in relation to supporting multiple research teams in your role.

Discuss specific methodologies or processes you've introduced or optimized within project teams. Provide examples of how you’ve measured success and the impact of these improvements on project delivery.

Illustrate your conflict-resolution skills by providing a real-life example of a disagreement. Explain how you facilitated communication between team members, emphasized common goals, and worked towards a collaborative resolution.

Explain your approach to data collection oversight, including how you establish protocols, ensure compliance with safety standards, and engage with teams to manage data accurately. Highlight any tools you’re familiar with that facilitate this process.

Highlight a complex project, detailing your role, the multi-disciplinary teams involved, the challenges during the project lifecycle, and the final impact of the project outcomes on the organization or broader AI research.

Speak about the resources you utilize, such as online courses, industry publications, or networking with professionals in the field. Mention any specific conferences or seminars that have significantly contributed to your knowledge.

Discuss your philosophy on communication, emphasizing transparency and regular updates. Provide examples of how effective communication has been key in aligning team members with project goals and stakeholder expectations.

Explain the metrics or KPIs you consider when evaluating a program’s success. This could include operational efficiency, stakeholder satisfaction, and the overall impact of research outcomes in AI advancements.

Share your passion for robotics and AI, linking it to your career aspirations. Mention any specific projects or innovations that have inspired you and how they align with the mission of Google DeepMind.