Engineering Manager, AI Software Engineering, HR

About The Role

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Engineering Manager, AI Software Engineering, HR not only possess 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 an Engineering Manager, AI Software Engineering, HR 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 join our Human Resources Engineering (HRE) team in Hyderabad. You will be a technical manager, driving the design, development, and deployment of sophisticated AI-powered solutions that significantly impact Google's employees. You will have an opportunity to work on Google-scale infrastructure, mentor a talented team of Engineers, collaborate with cross-functional partners, and contribute strategically to the future of HR at Google through innovative AI applications. You will be responsible for translating complex business issues and strategic objectives into scalable, and efficient AI/ML systems.

At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.

Responsibilities

• Lead and manage a team of AI Software Engineers, fostering a collaborative and high-performing environment. This includes hiring, mentoring, performance management, and career development.
• Drive the design, development, and deployment of scalable and reliable AI/ML systems and infrastructure relevant to HR applications (e.g., talent acquisition, performance management, employee engagement, workforce planning).
• Ensure the successful deployment, monitoring, and maintenance of AI/ML models in Google's production environments, advocating Machine Learning Operations (MLOps) best practices within the team.
• Drive technical excellence within the team, promoting high code quality, thorough testing, and adherence to Google's engineering standards.
• Identify and address technical issues and risks, making strategic decisions and trade-offs to ensure timely and high-quality delivery.

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 designing, developing, and deploying large-scale AI/ML systems in a cloud environment.
• Experience with Google Cloud Platform (GCP).
• Understanding of a wide range of machine learning algorithms, statistical modeling techniques, and data analysis methodologies relevant to HR data and issues.
• Excellent technical leadership, communication, and people management skills, with the ability to influence and collaborate effectively with both technical and non-technical audiences.

Key skills/competency

• AI/ML System Design
• Team Leadership
• Machine Learning Operations (MLOps)
• Software Development
• Talent Management Applications
• Performance Management Systems
• Workforce Planning
• Google Cloud Platform (GCP)
• Strategic Decision Making
• Cross-functional Collaboration