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Software Engineering Manager, Acceleration Platform
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.
In this role you will architect Artificial Intelligence (AI)-native, agentic systems that ensure secure-by-default and zero-regression product launches, eliminating toil to deliver developer journeys without impacting velocity. You will be a leader for the Singapore expansion, responsible for building and coaching a team from the ground up. You will drive technical expertise with local User Protection (UP) and Product Security and Data Protection teams to automate Gemini model introspection.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.
Responsibilities
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Lead, mentor, and grow a team of engineers to deliver quality tools and infrastructure that enhance engineering productivity and launch success.
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Drive cross-functional collaboration with Product Strategy and Support (PSS) leads to identify and implement horizontal tooling solutions.
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Provide technical leadership and navigate tests, guide the team toward solutions.
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Oversee the development of zero-regression automated verification frameworks, ensuring PSS products meet security and regulatory outcomes by default.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
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5 years of experience in a technical leadership role; overseeing projects, with 3 years of experience in a people management, supervision/team leadership role.
Preferred qualifications
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Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
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3 years of experience with working in a matrixed organization.
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Experience with Artificial Intelligence/Machine Learning (AI/ML) workflows, building Agentic Platforms, or Large Language Model (LLM)-based developer tools.
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Knowledge of Security, Data Privacy or User Safety.
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About Google

Google specializes in internet-related services and products, including search, advertising, and software.
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Pros
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Innovative and interesting work
Career development and learning opportunities
Cons
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
Salary Ranges
57,503 data points
Mid/L4
Mid/L4 · Accessibility Analyst
1 reports
$214,500
total per year
Base
$165,000
Stock
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Bonus
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$214,500
$214,500
Interview experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
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System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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