Engineering Manager, Ads Analytics & Insights (Full Stack)

Google LLC; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google Mountain View, CA, is hiring a Software Engineering Manager for Ads Analytics, Insights and Measurements, Full Stack. The role leads multiple teams, guides architecture, and drives product strategy for a multi‑billion dollar ads business.

You will manage engineers across teams and locations, oversee budgets, and ensure delivery of large‑scale projects with a strong focus on AI/ML advancements in advertising technology.

Qualifications

• Bachelor’s degree, or equivalent practical experience.
• 8 years of experience in software development.
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.

Responsibilities

• Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision‑making across teams.
• Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
• Develop the mid‑term technical goals and roadmap within the scope of your (often multiple) team(s). Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
• Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
• Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

Skills

Technical leadership

People management

Software development

Cross-team collaboration

Education

Bachelor's degree

Job description

Google Mountain View, CA, is hiring a Software Engineering Manager for Ads Analytics, Insights and Measurements, Full Stack. The role leads multiple teams, guides architecture, and drives product strategy for a multi‑billion dollar ads business.

You will manage engineers across teams and locations, oversee budgets, and ensure delivery of large‑scale projects with a strong focus on AI/ML advancements in advertising technology.