Software Engineering Manager II, Experimentation and Instrumentation
Exl
Job Description
About the Role
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. Gmail is a global product used by users both personally and professionally. With our continued focus on bringing impactful AI experiences to users, experimentation velocity and instrumentation trustworthiness is critical to Gmail's success as part of the core products in Google Workspace. In this role, you will focus on building an effective team and drive experimentation and metrics investments. AI will change the future of work in profound ways, and our products—Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet—are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.
Key Responsibilities
- Build a strong data infrastructure and metrics culture to drive higher velocity in Generative AI (GenAI) feature exploration and business critical decisions.
- Provide organizational leadership and manage team members focused on solving Gmail's experimentation and metrics needs.
- Partner with team leads to develop technical roadmaps for solving data needs for Gmail. Meet future requirements and infrastructure needs for stakeholders such as executives, data science, engineering, product managers, UX researchers, and cross-team partners.
- Identify problems and translate them into solutions and investments to expand the team's charter and responsibilities. Work across organizational boundaries to ensure end-to-end success of the investments.
- Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Collaborate across teams and advocate for best development practices for Gmail.
Requirements
- Bachelor's degree, or equivalent practical experience.
- 8 years of experience in software development.
- 8 years of experience with front-end frameworks, full-stack development, and API development.
- 3 years of experience in data analytics.
- 3 years of experience in a technical leadership role, overseeing projects.
- 2 years of experience in a people management, supervision/team leadership role.
Nice to Have
- Master's degree or PhD in Computer Science or a related technical field.
- 5 years of experience in a leadership role focused on data analytics, including experience in logging, metrics analysis, and data processing.
- 5 years of experience with designing experiments, developing statistical models, measurement, and identifying business opportunities.
- Experience managing teams that engage in data processing.
Benefits & Perks
- US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits.
- Our salary ranges are determined by role, level, and location.
- Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
- The compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
- Learn more about benefits at Google.
Job Details
Job Skills
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About Exl
Website
google.com
Company Size
1-10 employees
Location
Sunnyvale, CA
Industry
Web Search Portals and All Other Information Services
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