Senior Software Engineering Manager, People Operations Engineering
at Alphabet
Posted 9 hours ago
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- Compensation
- $262,000 – $369,000 USD
- City
- Austin
- Country
- United States
Currency: $ (USD)
Lead and mentor multiple teams within Google's People Operations Engineering, shaping long-term roadmaps and partnering with HR stakeholders to deliver AI/ML-powered HR solutions. You will provide strategic technical direction, manage engineering managers, and oversee scalable, secure systems and MLOps practices across Google’s global workforce. The role requires 8+ years in software development and 5+ years in people leadership, working across multiple locations and influencing cross-functional teams. This position offers a high-impact, cross-site leadership opportunity in a leading tech environment.
Senior Software Engineering Manager, People Operations Engineering
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience with full stack development, across the back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS, or equivalent.
- 5 years of experience in a people management or team leadership role.
- 5 years of experience in a technical leadership role.
Preferred qualifications:
- Experience architecting and managing data pipelines using large-scale data engineering tools (e.g., Beam, Dataflow, BigQuery).
- Experience designing, developing, and deploying large-scale AI/ML systems in a cloud environment, with a focus on Google Cloud Platform (GCP).
- Experience with specific AI/ML applications in the HR domain (e.g., advanced NLP for understanding employee feedback, sophisticated predictive models for talent management, personalized learning platforms).
- Understanding of the wide range of machine learning algorithms, statistical modeling techniques, and data analysis methodologies relevant to HR data and challenges.
- Ability to build and lead high-performing engineering teams.
About the job
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.
The People Operations Engineering team is dedicated to building innovative and scalable technology solutions that empower Google's global workforce. We leverage the power of data and AI/ML to optimize HR processes, enhance employee experiences, and drive organizational efficiency.
You will be a key leader, responsible for the strategic direction, technical outlook, and overall success of multiple teams focused on developing and deploying impactful AI-powered solutions for Google's employees. You will manage engineering managers and/or lead larger, more complex teams, fostering a culture of innovation, technical excellence, and significant impact.
Responsibilities
- Provide strong technical leadership and strategic direction for a significant People Operations Engineering portfolio, aligning with AI/ML strategies.
- Manage and mentor engineering managers and large, complex teams, fostering a high-performing culture, setting direction, and driving career growth.
- Partner with executive product leaders and HR stakeholders to shape long-term roadmaps, influence strategy, and translate business objectives into impactful AI/ML solutions.
- Oversee the design, development, and deployment of scalable, reliable, and secure AI-powered HR systems, advocating software and Machine Learning Operations (MLOps) best practices.
- Identify and mitigate significant technical risks, drive organizational efficiency, and advocate the adoption of AI/ML to transform human resources at Google.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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