Flag job

Report

Technical Program Manager, GenAI Research

Salary

$142k - $219k

Min Experience

8 years

Location

Mountain View, California, US

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

As a Technical Program Manager, you will apply program management methodologies to multiple initiatives, balancing progress and risk to deliver sustainable change to meet objectives. You will work with product managers, researchers, engineers, and stakeholders to define project scope, goals, timelines, and resource requirements. Work with your team on all required elements of end-to-end project planning and delivery, using your knowledge of project methodologies including tools and techniques such as stand ups, retrospectives, agile boards, project plans, etc. Work with your team to organise and optimise research into clear goals and objectives. Effectively translate technical information to non-technical audiences, ensuring clarity and alignment. Track progress, maintain up-to-date information and relevant technical documentation, anticipate and propose solutions to issues and risks. Troubleshoot and resolve technical challenges, making sound decisions that balance feasibility and project timelines. Critically evaluate technical proposals, understanding the trade-offs between different approaches, and weigh-in on the viability of solutions. Demonstrate a curious mindset and a commitment to learning and understanding your team’s technical field, and your broader understanding of AGI, in order to inform how you enable people, teams and optimise research.

About the company

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.

Skills

project management
stakeholder management
agile
problem-solving
communication
information theory
mathematics
technical architectures
statistics
computer science
machine learning
reinforcement learning