Technical Program Manager II, Kids and Families Core
Google· Internet & Cloud Services· Jul 31, 2026 · 3mo agoPosted 88 days ago
Mountain View, CA, USA
In office
Full-time
Mid
$160K–$215K est.
2+ years exp
Before you apply
Ghost Signal:
Open 88 days.
Job description
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.
The Kids and Families team is working to bring new, exciting services and experiences to minors and their families.
In this role, you will play a pivotal role in scaling, optimizing, and deploying our high-impact ML Models. You will partner with software engineers, machine learning researchers, data scientists, product managers, and legal experts to manage the end-to-end model lifecycle from data pipeline engineering to validation, evaluation, and production deployment. This is an exciting opportunity to apply your technical organization and execution skills to an AI/ML initiative that directly protects millions of users worldwide.
The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .
• Partner with ML engineering, product, and data science teams to develop project plans, track milestones, identify technical risks, and drive programs to schedule.
• Coordinate and manage technical interdependencies across distinct workstreams (e.g., ensuring data engineering pipelines finish in time to feed model training and evaluation schedules).
• Partner with stakeholders across engineering, product, data science, and legal to navigate priorities, drive alignment, and ensure global regulatory compliance.
• Identify and implement operational process improvements to make ML model training, validation, and deployment cycles more efficient and scalable.
• Communicate program status, timelines, and technical risks clearly to the core team and downstream internal partner teams.
• Bachelor's degree in a technical field, or equivalent practical experience.
• 2 years of experience in program management.
• Experience managing the software development lifecycle (SDLC) and shipping technical products.
• Experience managing software releases and deployment infrastructure (e.g., system testing, data pipelines, or launch execution).
Minimum qualifications:
• Bachelor's degree in a technical field, or equivalent practical experience.
• 2 years of experience in program management.
• Experience managing the software development lifecycle (SDLC) and shipping technical products.
• Experience managing software releases and deployment infrastructure (e.g., system testing, data pipelines, or launch execution).
Preferred qualifications:
• 2 years of experience managing cross-functional or cross-team projects.
• Experience program managing Machine Learning (ML) or Artificial Intelligence (AI) initiatives (e.g., model training, data pipeline engineering, evaluation, and MLOps).
• Experience with ML infrastructure, data pipelines, or model validation to collaborate effectively with engineering teams.
• Experience leading cross-functional projects at the intersection of user privacy, child safety, content moderation, or regulatory compliance.
• Experience translating complex technical concepts for non-technical stakeholders (such as legal and product teams).
Application prep
Use the role’s language and application details while tailoring your materials.
Keywords to mirror
mlmachine learningai
- Platform
- Effort
- medium