Job Description
Engineering Manager, Operations Intelligence, gUP Engineering corporate_fare Google place Pittsburgh, PA, USA ; Boulder, CO, USA bar_chart Advanced Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. info_outline X The application window will be open until at least June 16, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
Note:
By applying to this position you will have an opportunity to your preferred working location from the following: Pittsburgh, PA, USA; Boulder, CO, USA . Minimum qualifications:
Bachelor's degree, or equivalent practical experience. 8 years of experience in software development. 3 years of experience with full-stack development, across the back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent. 3 years of experience in a technical leadership role. 2 years of experience in a people management or team leadership role. Preferred qualifications:
Master's degree or PhD in Computer Science or related technical field. 3 years of experience working in a complex, matrixed organization. Experience with large-scale data processing and machine learning platforms, including practical application of Generative AI and machine learning optimization techniques. 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 part of the Operations Intelligence team, a newly created team at the forefront of transforming how we create, manage, and deliver support content by leveraging data and automation, you will be responsible for building and leading a team of engineers dedicated to designing, developing, and maintaining innovative systems and platforms that automate various aspects of the content life-cycle. The US base salary range for this full-time position is $207,000-$300,000 + 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 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 . Responsibilities Build, mentor, and manage an engineering team focused on content automation, fostering career development, technical excellence, and a collaborative team culture. Define and drive the technical strategy, roadmap, and architecture for content automation systems and platforms, evaluating and incorporating innovative technologies to meet business needs. Oversee the end-to-end software development life-cycle for the team, ensuring timely and high-quality delivery of scalable, reliable, and maintainable content automation solutions. Partner with content strategists, product managers, operations teams, data scientists, and other stakeholders to identify automation opportunities, gather requirements, and ensure solutions deliver maximum impact. Advocate engineering best practices, drive high standards for code quality and system design, and encourage innovation in the application of automation technologies (including ML/NLP where appropriate) issues.
