Software Engineering Manager II, AI/ML GenAI, Google Cloud AI

Google•Seattle, WA

3d•$207,000 - $300,000

About The Position

The Software Engineering Manager II will provide technical leadership and manage engineers working on major projects. The role includes managing project goals, contributing to product strategy, developing the team, and helping engineers optimize their code. The manager will lead engineers across multiple teams and locations, oversee a large product budget, and manage the deployment of large-scale projects across international sites. On Google Cloud AI Research, the role addresses AI challenges motivated by Google Cloud’s mission to bring AI to industries including technology, healthcare, finance, and retail. The team works on research problems intended to maximize scientific and real-world impact, advance the state of the art in AI, and share findings with the broader research community. It also collaborates with product teams to bring innovations to customers. The position leads GenAI solution design, ML infrastructure optimization, and data preparation and model optimization strategies. Individual pay is determined by job-related skills, experience, and relevant education or training. The stated US compensation is $207,000–$300,000, plus a 20% bonus target, equity, and benefits.

Requirements

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development in one or more programming languages, such as Python, C, C++, Java, or JavaScript.
5 years of experience leading ML design and optimizing end-to-end machine learning, including model deployment, model evaluation, data processing, debugging, or fine-tuning.
3 years of experience in a technical leadership role.
2 years of experience with state-of-the-art GenAI techniques, such as LLMs, multimodal systems, or large vision models, or with GenAI-related concepts such as language modeling or computer vision.
2 years of experience in a people management or team leadership role.

Nice To Haves

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.

Responsibilities

Set and communicate team priorities that support broader organizational goals, and align strategy, processes, and decision-making across teams.
Set clear expectations for individuals based on their level and role and organizational goals; meet regularly to discuss performance and development, and provide feedback and coaching.
Develop and evolve the mid-term technical vision and roadmap for one or more teams to meet anticipated future requirements and infrastructure needs.
Design, guide, and vet systems designs within the broader area, and write product or system development code to solve ambiguous problems.
Lead the design of GenAI solutions, optimize ML infrastructure, and guide data preparation and model optimization strategies.
Manage project goals, contribute to product strategy, and develop the engineering team.
Oversee the deployment of large-scale projects across multiple international sites.