Technical Lead Manager, AI Flow Platform, GDM Deployment

Google; Mountain View (CA); On-site; USD 197,000 - 291,000; Full time

Job summary

A leading company is seeking a Technical Lead Manager for their AI Flow Platform. This role involves overseeing projects, managing a team, and integrating GenAI models into software development. The ideal candidate will have extensive experience in software engineering and leadership, driving innovation across multiple teams and locations.

Qualifications

• 8 years of experience in software development.
• 5 years with ML infrastructure and applied ML/AI algorithms.
• 3 years in a technical leadership role.

Responsibilities

• Lead a team of engineers to develop GenAI features.
• Drive strategy and collaborate on emerging technology.
• Coach the team for high efficiency and production-ready code.

Skills

Leadership

Problem Solving

Communication

Education

Bachelor's degree

Tools

C++

Python

JAX

Pytorch

TensorFlow

Job description

Technical Lead Manager, AI Flow Platform, GDM Deployment

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corporate_fare Google place Mountain View, CA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

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• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development, and with data structures/algorithms.
• 5 years of experience with ML infrastructure, applied ML/AI algorithms and tools, LLMs or other multimodal foundation models, and natural language processing and working with C++ or Python.
• 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 with modern ML frameworks (e.g., JAX, Pytorch or TensorFlow).
• End-to-end experience with launching applied ML/NLP projects.
• End-to-end experience with FrontEnd coding/Angular JS.
• Ability to work in a changing environment with ambiguity.

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.

We are seeking highly motivated software engineer to build the development of our GenAI development platform. You'll play a pivotal role in ensuring that Google products are able to seamlessly incorporate latest GenAI models into their software development lifecycle.

We're building a unified toolchain that helps Google product teams build and launch GenAI-powered products. We have users across Alphabet and collaborate deeply with products such as Search, Ads, Youtube, etc. We enjoy close partnerships with Google DeepMind and core infrastructure teams across Google, and through the unique proximity to GDM we collaborate closely with researchers building the next generation of GenAI.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

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.

We are seeking highly motivated software engineer to build the development of our GenAI development platform. You'll play a pivotal role in ensuring that Google products are able to seamlessly incorporate latest GenAI models into their software development lifecycle.

We're building a unified toolchain that helps Google product teams build and launch GenAI-powered products. We have users across Alphabet and collaborate deeply with products such as Search, Ads, Youtube, etc. We enjoy close partnerships with Google DeepMind and core infrastructure teams across Google, and through the unique proximity to GDM we collaborate closely with researchers building the next generation of GenAI.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. The US base salary range for this full-time position is $197,000-$291,000 + 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

• Build big bets into the AI Flow platform that incorporates the entire spectrum of Classic ML to state-of-the-art GenAI into the Google product development lifecycle.
• Lead a team of highly-motivated engineers to land strategic tracks in production-ready infra with high inflection points and high impact, supporting strong partnerships cross-product area.
• Design and implement customer-requested GenAI features through multiple stages. Develop and maintain our products, written in C++ and Python, with Google-wide coding, testing, production standards.
• Drive strategy and collaborate with stakeholders to identify emerging technology related to GenAI and develop a plan for translating these into practical solutions for Google products.
• Coach the team into high efficiency, fast pivots, while landing production-ready code. Promote a culture of continuous learning and improvement, and actively grow the team members into their next best selves.

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 .

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.