AI/ML Search Technical Program Lead

Socket.dev; Mountain View (CA); On-site; USD 163,000 - 236,000; Full time

Benefits offered by this job

Bonus target 15%

Equity

Benefits

Job summary

Google in Mountain View, CA is seeking a Technical Program Manager to lead end-to-end engineering execution for a data product within the Search Ecosystem. You will partner with Product, Engineering and Partnerships to plan requirements, manage risks, and drive schedules, communicating clearly with cross-functional teams.

You'll influence stakeholders across the company, guide a distributed engineering team, and help launch a zero-to-one product with meaningful impact on Google's AI capabilities

Qualifications

• Bachelor's degree or equivalent practical experience in a technical field.
• 5 years of program management experience.
• Experience integrating generative AI tools or LLM interfaces into workflows.
• Experience in quality engineering.
• Experience in data analytics.

Responsibilities

• Partner with Product, Engineering and Partnerships to define program strategy, scope, roadmaps, and success metrics.
• Lead and drive execution of complex cross-functional work streams with timely milestones.
• Drive program decisions, unblock technical and operational challenges, manage risks and dependencies.
• Communicate program status, risks, strategies, and impact to diverse audiences including executives.
• Identify and implement process improvements to enhance efficiency.

Skills

Program management

AI/LLM integration

Quality engineering

Data analytics

Bachelor's degree or equivalent

Education

Bachelor's degree or equivalent in a technical field

Job description

Google in Mountain View, CA is seeking a Technical Program Manager to lead end-to-end engineering execution for a data product within the Search Ecosystem. You will partner with Product, Engineering and Partnerships to plan requirements, manage risks, and drive schedules, communicating clearly with cross-functional teams.

You'll influence stakeholders across the company, guide a distributed engineering team, and help launch a zero-to-one product with meaningful impact on Google's AI capabilities