Software Engineering Manager, App Observability and Performance Data
- 🇺🇸 United States | 🇸🇬 Singapore | 🇮🇳 India | 🇦🇺 Australia | 🇬🇧 United Kingdom | 🇨🇭 Switzerland | 🇮🇪 Ireland | 🇹🇼 Taiwan | 🇯🇵 Japan
- On-site
- Manager or above
- 1 day ago
- $207,000 – $300,000
- AI
- Natural Language Processing
- System Design
- Machine Learning
- Equity
About the job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
As a Software Engineering Manager, you will lead a team dedicated to monitoring and optimizing the system health of Google’s major consumer applications. You will set the technical strategy and drive the execution of robust data processing infrastructure and performance tools. By collaborating with cross-functional engineering groups, you will ensure our applications remain highly performant and stable for billions of users. In this role, you will also mentor a talented team of engineers, fostering culture while managing large-scale data pipelines and analytical storage systems to support company-wide application observability.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more aboutbenefits at Google.In most instances, this position requires in-person interviews as part of the hiring process.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following:San Francisco, CA, USA; San Jose, CA, USA.
Minimum 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.
- Experience integrating generative AI tools or LLM interfaces into workflows.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 3 years of experience working in a complex, matrixed organization.
- Experience leading engineering teams building large-scale pipeline infrastructure and managing OLAP storage systems.
- Experience managing technical roadmaps, driving system reliability, and supporting software engineer careers.
- Experience collaborating with cross-functional partners, including Site Reliability Engineering (SRE) and adjacent infrastructure teams.
Responsibilities
- Define and drive the technical strategy, roadmap, and priorities for system health and performance data processing.
- Drive delivery and execution of projects that enhance the reliability and performance of consumer applications.
- Manage, mentor, and grow a team of software engineers, fostering an engineering culture.
- Collaborate with engineering and product teams across multiple Product Areas to ensure platform work meets customer needs.
- Build and manage centralized agentic performance optimization systems for first-party applications.
Software Engineering Manager, App Observability and Performance Data · Google