Minimum qualifications:- Bachelor's degree, or equivalent practical experience.
- 8 years of experience in software development.
- 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 a related technical field.
- 3 years of experience working in a complex, matrixed organization.
- Experience or strong interest in building execution runtimes and sandboxes for AI/ML workloads or autonomous agent frameworks (e.g., Jetski, CASG, Vertex Agent Engine).
- Experience managing corporate customer migration, intake pipelines, or onboarding workflows at scale.
- Familiarity with Google Cloud security products (such as VPC Service Controls and Cloud Firewalls), as well as advanced networking technologies like eBPF network policies, Cilium, and Envoy sidecar proxies.
- Familiarity with Google-internal production primitives and data access layers (F1, Spanner).
About the jobLike 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.
The Hybrid Cloud Environment (HCE) team's mission is to enable Alphabet's safe-by-default use of Google Cloud Platform (GCP) by shifting non-functional requirements (Security, Privacy, Regulatory, and FinOps) into the platform layer.
In this role, you will lead a newly consolidated engineering team that merges two critical workstreams: The former Cloud AI Solutions team and The former Corp Run team. This unified team will serve as the engine room for Cloud for Alphabet (C4A) and Project Reef (making "intent become infrastructure").
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.
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 about benefits at Google .
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 outlook 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).
