From Google's careers page
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As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team.
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.
People Operations (POps) Solutions designs and delivers SPII-compliant, enterprise-grade AI workspaces that seamlessly integrate into core People Operations workflows. Functioning as unified command centers and specialized AI co-pilots, our solutions empower POps teams to automate high-volume processes, scale operational capacity, and accelerate strategic execution across Google.
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.
Set and communicate team priorities. Align strategy, processes, and decision-making across teams. Leverage telemetry, offline/online benchmarks, and developer tooling to improve product excellence, production reliability, and engineering execution velocity across agentic workflows.
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 direction and roadmap within the scope of your (often multiple) team(s). Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
Deliver AI-native, agentic enterprise solutions across POps Solutions core pillars building enterprise-grade agentic applications, full-stack workbenches and autonomous operational workflows.
Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
3 years of experience in a technical leadership role; overseeing projects.
2 years of experience in a people management, supervision/team leadership role.
Experience designing and operating distributed computing systems for large-scale AI/ML workloads.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
Experience in launching Machine Learning or AI products from research to production.
Experience designing architectures for Artificial Intelligence applications.
Experience building and customizing structured execution models like (Reason + Act), Tree of Thoughts, and Plan-and-Solve loops to equip AI systems with cognitive scaffolding for decomposing unstructured goals into deterministic DAGs.
Expertise in offline, online, and RL-based validation strategies. Proficient in aligning evaluation metrics with key business constraints—such as prioritizing Precision/Recall or Area Under the ROC Curve over standard Accuracy for imbalanced classification tasks.
Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
3 years of experience in a technical leadership role; overseeing projects.
2 years of experience in a people management, supervision/team leadership role.
Experience designing and operating distributed computing systems for large-scale AI/ML workloads.
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