Technical Program Manager, Applied AI

Minimum qualifications:

• Bachelor's degree in a technical field or equivalent practical experience.
• 2 years of experience in program or technical project management.
  
• Experience with development and implementation of technical automation solutions.

Preferred qualifications:

• Understanding of Machine Learning/LLMs.
• Strong program management skills with successful project delivery and analytical problem-solving abilities.
• Excellent communication skills for cross-functional collaboration.
• Fluency in PMP, Six Sigma, Lean, and other quality tools.

About the job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

• Support the development and implementation of Trust and Safety's (T&S’s) overarching Applied AI strategy. This includes defining clear objectives, identifying key risk areas, and establishing a unified approach to driving change through AI solutions across all Trusted Experience teams.
• Facilitate effective communication and alignment on Applied AI priorities across T&S.
• Support monthly and quarterly business reviews with relevant data and insights, coordinate the tracking and scoring of progress against key north star metrics targets.
• Partner closely with T&S stakeholders to identify opportunities for AI automation, support the development of clear business requirements and technical roadmaps.
• Be the escalation point for the team and run discussions with cross-functional partners throughout the implementation of the technical solutions, proactively identifying risks and creating mitigation plans.