Software Engineering Manager, AI Powered Data

2 Days ago • 8-11 Years • Artificial Intelligence

Job Summary

Job Description

As a Software Engineering Manager, AI Powered Data, you'll lead a team developing AI solutions for Core Data's initiatives. Responsibilities include managing engineers, shaping the AI4SQL roadmap, driving innovation in AI/ML and data engineering, attracting and developing talent, collaborating with stakeholders, advising steering committees, and researching AI innovations. The role involves planning and managing a team focused on synthetic data, agentic data workflows, and implementing AI for data-focused use cases. The position requires significant experience in software development (Python, C++, Java, etc.), technical leadership, and people management within a dynamic environment.
Must have:
  • 8+ years software development experience
  • 3+ years technical leadership
  • 2+ years people management
  • Experience with AI/ML
  • Team leadership and project oversight
Good to have:
  • Experience with large-scale projects
  • Experience in dynamic environments
  • Excellent communication and teamwork

Job Details

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).
  • 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.

Preferred qualifications:

  • Experience in leadership and management processes for guiding engineering teams in dynamic environments.
  • Experience in projects that leverage machine learning.
  • Excellent communication and teamwork skills, fostering collaboration.

About the job

Like Google's own ambitions, the work of a Software Engineer goes way 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.

As a Software Engineering Manager, you will plan and manage a team at the heart of one of Core Data's primary initiatives to transform data analysis with Artificial Intelligence (AI). You will develop and manage a team that delivers on synthetic data solutions, agentic workflows for data, and the implementation of AI capabilities for data-focused use cases.

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

  • Drive innovation at the intersection of Artificial Intelligence (AI)/Machine Learning (ML) and data engineering through proactive exploration.
  • Shape and enhance the AI4SQL roadmap for impact.
  • Attract and develop talent within the team. Lead and manage a team of engineers focused on developing AI use cases for Core data team.
  • Collaborate with partner teams and stakeholders to gain insights into their needs.
  • Advise the Core Data AI steering committees on wins, learnings, and opportunities within the AI4SQL space. Research and learn about AI innovations happening within and outside Google.

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