TPM, GenAI Ecosystem Ops - FTC L4 - 12 Month FTC - US

DeepMind•Mountain View, CA

55d

About The Position

Artificial Intelligence could be one of humanity's most useful inventions. At 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. Join the GenAI Ecosystem team and become the operational backbone of Google's entire GenAI strategy! Our mission is to get the right Gemini information and artifacts to the right people at the right time. We are the central hub that connects cutting-edge research with Alphabet's product teams, ensuring the secure, compliant, and efficient delivery of AI models. This team builds and manages the critical processes that allow GenAI to scale and deliver to production, overseeing everything from model release tooling and access control to technical documentation, scaled user support, and metrics. If you thrive on bringing order to complexity and are passionate about building scalable systems for breakthrough technology, we want to hear from you! The role Technical Program Managers on the GenAI Ecosystem Operations team organize the flow of information, artifacts, and people at the critical boundary between Gemini (and GDM's other GenAI modeling efforts), the rest of Google and Alphabet. As a Technical Operations Program Manager, you make sure the right people get the right artifacts at the right time, you operate well at a high-pace and under pressure, and make sure researchers can work and product teams can launch with minimal friction. You also have a desire for improving the processes you own. Please note: this is a 12 month fixed-term contract (FTC) role.

Requirements

Bachelor's degree in a relevant technical field or equivalent practical experience.
Foundational understanding of Machine Learning (ML) concepts and terminology.
Experience in team operations or software development environments.
Strong attention to detail and excellent organizational skills.

Nice To Haves

Basic understanding of AI Safety and Ethics concepts and terminology.
Basic understanding of AI Policy and Regulatory concepts and terminology.
Experience with software release processes.

Responsibilities

Manage the daily operations of the GenAI Release Process: This involves actively tracking and guiding checkpoints through the defined approval and review stages.
Monitor and advance progress through downstream approvals and release processes: Ensure smooth progression of checkpoints through all necessary stages for release.
Maintain and drive access controls for GenAI Assets: Implement and manage access control operations throughout different stages of the research development.
Contribute to the identification and resolution of system issues: Recognize and report system or tooling problems that impact process efficiency.
Serve as a key point of contact for routine inquiries: Address questions and provide information regarding the status of release tasks, access requests and checkpoints.
Prepare and distribute status reports and dashboards: Create and share regular updates summarizing progress, highlighting key milestones, and identifying any roadblocks.
Facilitate workflows and process execution across teams: Coordinate tasks and dependencies between different teams involved in access and release processes.
Identify and escalate potential risks and issues: Proactively recognize and report any risks or issues that could impact the release process, ensuring timely awareness and mitigation.
Collect and analyze process data: Gather and analyze data on process performance to track progress, identify trends, and pinpoint areas for improvement.
Provide basic user support for process tools: Assist users with questions and basic troubleshooting related to the tools supporting the release process.
Contribute to continuous process improvement: Actively seek feedback and suggest improvements to enhance process efficiency and effectiveness based on operational experience.