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September 24, 2025

Senior Software Engineering Manager, Business Transformation AI, Core

Senior • On-site

$248,000 - $349,000/yr

Sunnyvale, CA

Minimum qualifications:

  • Bachelor’s degree, or equivalent practical experience.
  • 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
  • 5 years of experience in a technical leadership role; overseeing projects.
  • 5 years of experience in a people management, supervision/team leadership role.
  • Experience with AI and ML (i.e. camera vision, NLU, language models) and shipping AI/ML based products.
  • Experience leading large-scale digital transformation initiatives, specifically in re-engineering core business processes through the development and implementation of enterprise-level software solutions.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 5 years of experience working in a complex, matrixed organization.

About the job

Like Google's own ambitions, the work of a Software Engineer (SWE) goes way beyond just Search. SWE 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 SWE Manager you manage your project goals, contribute to product strategy and help develop your team. SWE 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.

In this role, you will be responsible for defining and executing Google's internal operational transformation agenda, which is powered by artificial intelligence. This involves leading a multidisciplinary center of excellence composed of Data Engineers, Data Scientists, and AI Engineers.

You will function as the critical strategic partner between Google's foundational AI capabilities and core business functions, responsible for advancing the IT Product goal and strategy. This highly influential role requires a blend of business acumen, transformational leadership, and strong technical literacy.

You will be accountable for owning the AI transformation strategy across Google's IT operations. You will operate as a peer to Product Engineering leaders and executive business stakeholders, tasked with aligning the AI investment portfolio with key strategic initiatives.
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.

The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that 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.

Responsibilities

  • Define and advocate the enterprise-wide AI transformation agenda for internal operations by identifying and prioritizing business problems solvable with AI to maximize strategic value.
  • Lead and scale a team, mentoring technical leads and building strategic AI capabilities while fostering a culture of innovation and agility.
  • Own the business impact and outcomes by clearly linking AI initiatives to measurable results, such as cost reduction or operational efficiency, and relentlessly prioritizing the portfolio based on enterprise value.
  • Serve as a trusted advisor to executive business and operational leaders, translating complex challenges into an actionable, technology-powered roadmap and communicating the value of AI in clear business terms.
  • Provide executive portfolio and program oversight from ideation and strategic validation through deployment and value realization, while evaluating internal, GCP, and third-party AI capabilities to solve significant operational challenges.